Overview:

We are seeking a passionate, entrepreneurial and very hands-on Analytics leader. The Sr Mgr/ Mgr of Data & Analytics will join our Analytics organization, focusing on the creation of new products & services, in partnership with the Product team.. Reporting to our Chief Analytics Officer, this person will liaise with Analytics teams at our Clients, to ingest their data, perform Exploratory Data Analysis (EDA), identify relevant insights and ultimately lead to the creation of the MVP version of new Analytics products & services.

This is an excellent opportunity for a strategic thinker who does not need to operate linearly and who can think outside the box to find opportunities to do more with data. You will be responsible for supporting Lily AI product roadmap by working very collaboratively with Product and Sales teams, as well as with our strategic clients.

Our team is growing and if you're looking to join a group of outstanding professionals, focused on delivering a truly people first culture that’s based on empathy, while having some fun along the way, this may be the place for you. We offer highly competitive compensation and benefits, along with work/life flexibility in today's post-Covid world.

  In this role, you will:

• Develop MVP versions/ prototypes of new Analytics products & services, which can be later productionalized and monetized.
• In conjunction with the Product Team, the Sales Team and the broader Lily AI Team, expand and diversify the portfolio of products, to increase Lily AI’s revenue from new and existing clients.
• Communicate regularly with the Product team, to understand their roadmap and their definition of the products and their key features.
• Partner with the Clients’ Analytics teams to understand their data, ingest their data, perform EDA, identify insights and build Analytics solutions.

What we consider critical for the role:

• 5+ years in an Analytics/ Data Engineering role, preferably in retail/ e-commerce.
• Solid understanding of inventory data, product data and customer data, preferably in retail/ e-commerce.
• Proven track record in creating and managing large scale Analytics and/or Data Engineering projects.
• Strong ability to collaborate and partner with cross-functional business partners and Clients to build solutions.
• Must have the ability to handle a multitude of diverse responsibilities and work independently to achieve desired results; have sound judgment and analytical acumen.
• A good combination of leadership and hands-on experience. This person is expected to be a “player-coach”.
• Ability to contribute and support a culture of smart and nice people.

Currently, we are hiring from the following states—(candidates must be in current residence or open to relocating):

California ● Florida ● Georgia ● Illinois ● Massachusetts ● Minnesota ● Nevada ● New Jersey ● New York ● North Carolina ● Rhode Island● Tennessee ● Texas ● Virginia ● Washington ● Utah

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

  In this role, you will:

• Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
• collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
• Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
• Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
• Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
• Foster a spirit of curiosity and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.

What we consider critical for the role:

• 4+ years of relevant work experience as a Data Scientist or Data Analyst.
• Master's degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
• Strong understanding of statistical techniques, such as significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.
• Experience with Retail or other customer industries, especially e-commerce.
• Experience with Web Analytics tools like Adobe/ Google Analytics.
• Proven experience designing metrics and creating systems to generate actionable business insights.
• Proficiency in SQL and at least one scripting language, such as Python or R.
• Expert in data visualization tools like Tableau, Superset, or similar platforms.
• Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
• Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

California ● Florida ● Georgia ● Illinois ● Massachusetts

Minnesota ● Nevada ● New Jersey ● New York ● North Carolina

Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $122,500 - $158,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

In this role, you will:

• Utilize quantitative analysis techniques to analyze large data sets and generate meaningful insights to inform decision-making.
• Collaborate with various internal teams, including Product and Engineering, to implement standard experimentation methodologies and designs.
• Continuously evaluate our experimentation platform to ensure that we measure the appropriate business metrics, apply statistical best practices, and achieve positive business outcomes.
• Conduct a comprehensive analysis of metrics lift using causal-inference methods and innovative approaches, and communicate your findings to stakeholders and senior management.
• Develop statistical models to gain insight into customer behavior and the factors that impact experimentation results.
• Foster a spirit of curiosity, and strive to identify emerging trends and insights to help us enhance the customer experience and grow the business.

What we consider critical for this role:

• 4+ years of relevant work experience as a Data Scientist.
• Masters or Ph.D. degree in a quantitative field such as Mathematics, Statistics, Engineering, Computer Science, or a related discipline.
• Strong understanding of statistical techniques, such as regression models, significance testing, power calculations, and causal inference. Advanced training in statistics is preferred.

• Proven experience designing metrics and creating systems to generate actionable business insights.
• Proficiency in SQL and at least one scripting language, such as Python or R.
• Familiarity with data visualization tools like Tableau, Superset, or similar platforms.
• Experience with Adobe Analytics and/or Google Analytics.
• Exceptional attention to detail and analytical skills, with the ability to detect and diagnose anomalies, errors, or issues.
• Excellent communication and presentation abilities, capable of effectively conveying complex quantitative analyses to engineering or executive-level stakeholders in a clear and concise manner.
• Experience with eCommerce Analytics or AB Testing platforms is a plus.
• Experience in data engineering is a plus.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts
• Minnesota ● Nevada ● New Jersey ● New York ● North Carolina
• Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $140,000 - $210,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We are in search of a dynamic Full Stack Engineer with a flair for innovation. At the core of Lily AI's mission, this role involves collaborating with cross-functional teams to tackle complex business challenges, propelling our mission forward. You'll be at the heart of our efforts to automate content generation for eCommerce through generative AI. Collaborating with our design and product teams, you’ll help craft user interfaces that let customers view, interact with, and modify AI-generated content as per their requirements. You’ll also work closely with the ML engineers and scientists to help set up scalable and robust training pipelines, batch inference pipelines and real-time inference APIs. In essence, you won't just be building software – you'll be crafting the future of intelligent eCommerce, paving the way for a more interactive, personalized, and seamless shopping experience for all.

In this role, you will:

• Full Stack Development: Design, develop, and maintain scalable, high-performance web applications using React, Node.js, JavaScript, HTML, CSS, RDBMS, NoSQL and Python. This would involve applying standard engineering processes and practices such as CI/CD, IaC, authN/authZ, monitoring/logging, and cost control.
• Collaboration: Work closely with Domain Experts, Product team and ML scientists to understand their needs and translate them into effective software solutions. This would be mostly in the form of tooling with UI aspects to perform various business functions.
• UI/UX Optimization: Collaborate with designers to create user-friendly interfaces and ensure a smooth user experience.
• Library and Tool Development: Build and maintain libraries and tools that enable streamlined development including data preprocessing, ML model training, deployment and inference.
• Test Automation: Implement comprehensive test automation frameworks and scripts to ensure applications adhere to high-quality standards.
• Documentation: Document code, APIs, and processes to facilitate collaboration and knowledge sharing within the team.

What we consider critical for this role:

• 5+ years of relevant experience
• Proficiency in React, Node.js, JavaScript, HTML, and CSS.
• Strong problem-solving skills and the ability to work independently and in a team.
• Excellent communication and collaboration skills.
• Experience working in a startup environment or agile development.
• Design handoff using Figma/Sketch. Zepelin experience is nice to have.
• Exposure to Python based library development is an added advantage
• Familiarity with machine learning concepts and technologies is a plus.

Overview:

We are seeking a talented and highly motivated Machine Learning Scientist to join our team and contribute to the development and deployment of cutting-edge machine learning models and algorithms. The successful candidate will work closely with cross-functional teams to solve complex business problems, improve existing systems, and push the boundaries of what is possible with machine learning.

In this role, you will:

As part of the Machine Learning team, you will have the opportunity to reimagine and build the next-generation personalization that enables brands and retailers to understand the cognitive attributes of customers online and the 'why' behind 'what they do' in their journey by pushing the boundaries of our ML systems and algorithms.

• Using proven techniques in computer vision and NLP to solve business challenges in the domain of deep product attribution, item setup and demand forecasting.
• Conduct research on the latest machine learning techniques, tools, and frameworks to identify and recommend potential improvements to existing models and systems.
• Design and perform experiments to validate and refine model performance, using both quantitative and qualitative methods.
• Assist in the development of production-ready code and integrate machine learning models into existing systems and workflows.
• Define the training-data roadmap for various ML tasks.
• Continuously monitor and analyze model performance in production, identifying opportunities for improvement and optimization.
• Maintain up-to-date knowledge of industry best practices, trends, and advancements in the field of machine learning.
• Collaborate with internal stakeholders for various org initiatives.
• Facilitate customer POCs and attend to escalations.

What we consider critical for this role:

• 8-12+ years of experience in building large scale machine learning solutions.
• Expertise in Python and PyTorch.
• Experience with Large Language/Multi-Modal Models.
• Experience with ML frameworks & platforms like Weights & Biases, PyTorch Lightning and HuggingFace.
• Experience in data wrangling and preprocessing techniques.
• Strong problem-solving, critical thinking, and analytical skills.
• Familiarity with cloud platforms like Azure.
• Familiarity with distributed systems.
• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $160,000-$175,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We are looking for a skilled Machine Learning Engineer to join our team and help design, develop, and deploy advanced machine learning models and solutions for a variety of business problems. The successful candidate will collaborate with data scientists, software developers, and product managers to transform experimental models into production-ready systems, ensuring scalability, efficiency, and robustness.

In this role, you will:

As part of the Machine Learning team, you will have the opportunity to reimagine and build the next-generation personalization that enables brands and retailers to understand the cognitive attributes of customers online and the 'why' behind 'what they do' in their journey by pushing the boundaries of our ML systems and algorithms.

• Own the data, training and serving pipelines of Lily’s ML solutions from an engineering standpoint.
• Productionize ML based solutions as developed by our ML Scientists.
• Optimize and fine-tune machine learning models and algorithms using appropriate programming languages, libraries, and frameworks.
• Design and build ML serving pipelines with stringent SLAs.
• Continuously monitor and evaluate the performance of machine learning models in production, identifying areas for improvement and optimization.
• Adhere to software engineering best practices while maintaining our tech stack.
• Troubleshoot and resolve issues related to system integration, model performance, and data quality.
• Facilitate customer POCs and attend to escalations

What we consider critical for this role:

• Proficiency in Python, Pytorch and SciPy.
• Expertise in real-time serving and optimization tools for deep learning, e.g. Triton, TensorRT, PyTorch JIT, TorchScript, ONNX.
• Expertise in developing solutions on cloud platforms like AWS and Azure.
• Expertise in developing and maintaining efficient, scalable, and robust machine learning systems, integrating models into existing software systems and applications.
• Expertise in distributed systems concepts.
• Familiarity with Large Language/Multi-Modal Models.
• Strong understanding of machine learning concepts, techniques, and algorithms, with experience in applying these methods to real-world problems.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
• Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $135,000-$180,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

As a Staff Engineer on the Customer eXperience Engineering (CXE) team, you will be a technical leader on a team of full-stack developers that build web apps, APIs, microservices, and automation to support onboarding. You will help coach developers who are earlier in their career, facilitate technical design decisions, and help key stakeholders to understand the technical tradeoffs involved in product development and maintenance.

Lily Staff Engineers are force multipliers who play a key role in leading the engineering organization, scaling the team, and deliberately cultivating the practices that will deliver value today and improve velocity tomorrow. Your listening skills are even more impressive than your presentation skills, and you are ready to be a player-coach from the first day.

In this role, you will:

• Read and review dozens of pull requests every month, and facilitate 1:1 and team conversation and collaboration about deliverables and processes
• Document systems, decisions, and technical designs
• Guide teams towards useful questions to ask and facilitate bottom-up decision-making
• Cultivate continuous improvement (testing, observability, documentation, etc…)
• Write code, submit pull requests, dig through logs, and be on call to resolve issues

What we consider critical for this role:

• Strong experience in Java and Javascript with exceptional communication and coding skills
• Deep familiarity with agile, devops, and related continuous improvement practices
• A track record helping teams to improve while leading the delivery of complex web apps
• Extensive experience with cloud, microservices, databases, REST, and TDD
• Ability to listen, inspire creativity, and nurture play

Currently, we are hiring from the following states—(candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts
• Minnesota ● Nevada ● New Jersey ● New York ● North Carolina
• Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $169,000 - $207,500 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We’re looking for a Director of Finance with the vision and drive to build Lily AI’s finance and accounting function at a time of enormous growth. The right fit here is someone able to roll up their sleeves and do the work, while also building and managing the team over time. This is a mix of accounting, FP&A, and corporate finance, and thus you should have experience in accounting and financial planning and analysis in enterprise SaaS companies. Enterprise SaaS experience is essential.

In this role, you will:

• Drive the annual financial planning process and partner with the executive and leadership teams to set and monitor short and long term goals
• Identify and implement the proper accounting and financial systems required to scale
• Develop, and update monthly, a three statement model reflecting multiple scenarios
• Establish and monitor metrics appropriate for a vertical AI business
• Through the lens of financial performance, provide regular commentary and insights to the executive team and Board of Directors
• Lead monthly and quarterly financial close process, including variance analysis
• Over time, build and scale an end-to-end team: Accounting, FP&A, Treasury, Investor Relations
• Aid in capital raising processes
• Oversee various financial documentation and compliance such as engagement with 409a valuation providers and ensuring tax returns are filed
• Serve as the key contact for audits and reporting

What we consider critical for this role:

• Objectivity, empathy, humility, analytical thinking, and organizational capabilities
• 10+ years of experience in accounting, corporate finance, investment banking, financial consulting, private equity, or venture capital
• 3+ years working in a startup
• Enterprise SaaS company experience
• Knowledge of financial software tools, facility with Excel/Google Sheets, and excellence in working with and communicating about numbers
• Strong modeling skills and willingness to “do” (e.g., model, monitor metrics) now, with the understanding that we will build support and the team over time
• Adept at communicating complex information simply; bonus points for strong storytelling skills
• Excitement to join an AI startup and put in the hustle required to get things done! (this does not mean working around the clock, but it does mean long hours, on occasion)

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts
• Minnesota ● Nevada ● New Jersey ● New York ● North Carolina
• Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $170,000 - $215,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We are seeking a talented and highly motivated Machine Learning Scientist to join our team and contribute to the development and deployment of cutting-edge machine learning models and algorithms. The successful candidate will work closely with cross-functional teams to solve complex business problems, improve existing systems, and push the boundaries of what is possible with machine learning.

In this role, you will:

As part of the Machine Learning team, you will have the opportunity to reimagine and build the next-generation personalization that enables brands and retailers to understand the cognitive attributes of customers online and the 'why' behind 'what they do' in their journey by pushing the boundaries of our ML systems and algorithms.

• Using proven techniques in computer vision and NLP to solve business challenges in the domain of deep product attribution, item setup and demand forecasting.
• Conduct research on the latest machine learning techniques, tools, and frameworks to identify and recommend potential improvements to existing models and systems.
• Design and perform experiments to validate and refine model performance, using both quantitative and qualitative methods.
• Assist in the development of production-ready code and integrate machine learning models into existing systems and workflows.
• Define the training-data roadmap for various ML tasks.
• Continuously monitor and analyze model performance in production, identifying opportunities for improvement and optimization.
• Maintain up-to-date knowledge of industry best practices, trends, and advancements in the field of machine learning.
• Collaborate with internal stakeholders for various org initiatives.
• Facilitate customer POCs and attend to escalations.

What we consider critical for this role:

• 8-12+ years of experience in building large scale machine learning solutions.
• Expertise in Python and PyTorch.
• Experience with Large Language/Multi-Modal Models.
• Experience with ML frameworks & platforms like Weights & Biases, PyTorch Lightning and HuggingFace.
• Experience in data wrangling and preprocessing techniques.
• Strong problem-solving, critical thinking, and analytical skills.
• Familiarity with cloud platforms like Azure.
• Familiarity with distributed systems.
• Master's or Ph.D. in Computer Science, Data Science, Artificial Intelligence, or a related field.

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $160,000-$175,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview

We are looking for a Product Marketing Manager to join our marketing team and bind product strategy with industry and competitor research to inform effective marketing plans and tactics that drive sales.

We’re looking for a Lily AI product evangelist, someone who deeply understands the features and benefits of Lily AI and plays an integral role in driving new product launches and creating product/sales content. You’ll work closely with the marketing, product development, and sales (direct and partner reseller) teams to develop product marketing programs, industry and competitor research reports, product demo videos, website content, etc., to drive platform demand across the sales funnel.

We seek a strong writer and critical thinker with keen storytelling abilities that resonate with our retail and brand industry audiences.

We work with Google suite so our ideal candidate is well-versed in creating effective slide presentations, reports, charts, etc. You will create sales decks, case studies, product sheets, videos, interactive demos, and product webinars etc. You must have experience with digital marketing, creating web content, online promotions, and videos.

You will come to know our competitors like the back of your hand – what they do today and how we position ourselves against them. You will own sales battlecards and competitive product positioning. You will understand our buyers in the retail industry and be able to clearly articulate the “what, so what, now what” behind their needs for our products - What is it, So what does it mean, Now what do I do with it. You will develop personas and buyer journeys and help create the product-related content roadmap.

You will work regularly with the sales, product, and executive teams so you must have strong diplomatic skills and a desire for win-win collaboration. Attention to detail and high quality outputs are essential.

In this role, you will:

• Market intelligence—be the expert on our buyers, who are they, how they buy and their key buying criteria
• Understand the competitive landscape—be an expert on our competition, how they are positioned, their key messaging, know their launches and other new developments, provide perspective into their outward-facing activities
• Develop messaging for each product and/or use case with distinction and clarity
• Author and own product content marketing for product positioning, case studies, battle cards, feature sheets, and other selling collateral
• Develop and execute product marketing collateral/programs to generate awareness and drive inbound in collaboration with broader marketing team
• Develop plans for the products you support in conjunction with our marketing team, including key activities and budgets to support the retention (and upsell/expansion) of existing customers and the acquisition of new customers
• Plan all product launches and releases of product improvementsAct as thought leader for the products you support including internal trainings, training our sales teams (direct and partner sellers) on the problems we solve for our buyers and end users
• Support and /or deliver analyst briefings (Gartner, Forrester, CB Insights)

What we consider critical for the role:

• 5+ years of marketing experience with 3+ years of experience in product marketing role
• Have a portfolio of past product/marketing work to demonstrate writing and communication skills with product/content marketing
• Experience with developing a compelling story that clearly articulates the Lily AI unique value proposition and how it differentiates from competition
• Ability to be self-directed, organized and be accountable for one’s work product

Overview:

As a Senior Product Manager at Lily AI, you will play a pivotal role in defining and executing the product strategy, driving product development, and ensuring that our products meet and exceed customer expectations. You will collaborate closely with cross-functional teams, including engineering, design, marketing, and sales, to deliver innovative products that address market needs and drive business growth.

In this role, you will:

• Product Strategy: Develop and communicate a clear and compelling product vision and strategy that aligns with the company's goals and market trends.
• Market Research: Conduct market research, customer interviews, and competitive analysis to identify market opportunities and customer needs.
• Product Roadmap: Create and maintain a product roadmap that outlines feature prioritization, timelines, and resource allocation.
• Product Development: Collaborate with engineering and design teams to define product requirements, ensuring alignment with the product roadmap and customer needs.
• Cross-Functional Collaboration: Work closely with cross-functional teams, including engineering, design, marketing, and sales, to drive product development and ensure successful product launches.
• Product Launch: Lead product launches, including defining go-to-market strategies, pricing, and marketing campaigns to drive product adoption and revenue growth.
• Product Performance: Monitor and analyze product performance using key metrics and customer feedback, making data-driven decisions to improve the product.
• Customer Advocacy: Serve as the voice of the customer within the organization, advocating for their needs and ensuring they are met.
• Risk Management: Identify potential risks and challenges in product development and work proactively to mitigate them.

What we consider critical for the role:

• Bachelor's degree in business, engineering, or a related field (MBA preferred).
• Proven experience as a Product Manager, with a track record of successfully launching and managing products.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a cross-functional team environment.
• Knowledge of agile development methodologies is a plus.
• Familiarity with eCommerce/ PIM/ Retail is preferred.

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $149,000 - $165,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Currently, we are hiring from the following states—(candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts ● Minnesota ● Nevada ● New Jersey ● New York ● North Carolina ● Rhode Island● Tennessee ● Texas ● Virginia ● Washington ● Utah

Overview:

As a Senior Product Manager at Lily AI, you will play a pivotal role in defining and executing the product strategy, driving product development, and ensuring that our products meet and exceed internal stakeholders expectations. You will collaborate closely with cross-functional teams, including engineering, design, and domain, to deliver innovative products that address market needs and drive business growth.

Key Responsibilities:

• Product Strategy: Develop and communicate a clear and compelling product vision and strategy that aligns with the company's goals and market trends.
• Market Research: Conduct market research, customer interviews, and competitive analysis to identify opportunities and customer needs and make decisions around buying a service vs building inhouse.
• Product Roadmap: Create and maintain a product roadmap that outlines feature prioritization, timelines, and resource allocation.
• Product Development: Collaborate with engineering and design teams to define product requirements, ensuring alignment with the product roadmap and customer needs. Lead product launches and drive product adoption.
• Cross-Functional Collaboration: Work closely with cross-functional teams, including engineering, design, marketing, and sales, to drive product development and ensure successful product launches.
• Product Performance: Monitor and analyze product performance using key metrics and feedback, making data-driven decisions to improve the product.
• Customer Advocacy: Serve as the voice of the customer within the organization, advocating for their needs and ensuring they are met.
• Risk Management: Identify potential risks and challenges in product development and work proactively to mitigate them.

Qualifications:

• Bachelor's degree in business, engineering, or a related field (MBA preferred).
• Proven experience as a Product Manager, with a track record of successfully launching and managing products.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work collaboratively in a cross-functional team environment.
• Knowledge of agile development methodologies is a plus.
• Familiarity with Product Operations/ eCommerce/ PIM/ Retail is preferred.

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts
• Minnesota ● Nevada ● New Jersey ● New York ● North Carolina
• Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $149,000 - $165,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We are seeking a passionate and entrepreneurial Revenue Operations Manager to join our dynamic team. The Revenue Operations Manager will play a pivotal role in optimizing our revenue generating process and ensuring alignment between sales, marketing, and customer success teams. This position offers an exciting opportunity to contribute to our company’s growth and success.

Our team is growing and if you're looking to join a group of outstanding professionals, focused on delivering a truly people first culture that’s based on empathy, while having some fun along the way, this may be the place for you. We offer highly competitive compensation and benefits, along with work/life flexibility in today's post-Covid world.

  In this role, you will:

• Be an early member of the Sales Operations team, you will be responsible for many aspects of the performance, strategy, and alignment of Sales Operations in the company
• You will help to oversee operations and strategic growth of the Go-To-Market (GTM) org
• Work with Executive and Leadership teams to optimize existing revenue models and create new revenue streams using strong data interpretation skills to guide the strategy
• Create strategies that drive all teams within the Go-To-Market umbrella to work cohesively and maximize revenue
• Work with Finance Leadership to create yearly capacity and headcount plans
• Manage operating rhythms such as weekly reviews, forecasts, KPI reviews, and OKRs
• Work with Sales and Marketing Leadership to create and implement system improvements, territory planning, reporting dashboards, and more
• Manage Sales Operations sprints and project management reviews

What we consider critical for the role:

• 5+ years of Sales Operations, Revenue Operations, Marketing Operations, or similar in a SaaS focused company
• Experience working directly with senior leadership and executive teams
• Strong knowledge of Hubspot, Salesforce, system applications, and some experience in systems such as Outreach, ZoomInfo, Bizible, 6Sense, LeanData, etc
• Previous senior analyst experience in sales, marketing, or revenue operations
• Experience ideating, developing and implementing RevOps strategies
• Proven ability to find, recommend and implement needle moving changes
• Experience in process design and optimization across marketing and sales

Currently, we are hiring from the following states—(candidates must be in current residence or open to relocating):

California ● Florida ● Georgia ● Illinois ● Massachusetts ● Minnesota ● Nevada ● New Jersey ● New York ● North Carolina ● Rhode Island● Tennessee ● Texas ● Virginia ● Washington ● Utah

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $121,000 - $161,000 USD per year, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

At Lily AI, we’re serious when we say that we are committed to creating an amazing culture where each and every team member can thrive. First and foremost, we’re not just colleagues; we’re like a family - known for being caring, encouraging and always going the extra mile to help each other out. It’s startup world and as those who have worked for a startup know, every day is vastly different than the day before and as such, we place premium value on high empathy - both with our team members and our clients, fostering an environment where we listen and support each other through challenges and triumphs alike.

And speaking of the startup world, every single employee, without exception, is offered stock options because we believe everyone should be rewarded for their hard work and drive for results.

And speaking of results, earlier this Spring, we were honored to be included in the prestigious Top 100 Retail Tech Companies list released by CB Insights. While that was a proud moment, our proudest achievement is the top ratings we consistently receive from our own employees as reflected on Comparably.

Join us on our journey to transforming the world of digital commerce!

The Remote Teams Senior QC Analyst is a key support role that is critical to our Domain Experts Department and our deliverables. This individual will support our remote teams development with a focus on the Home Domain. As a team support this Associate will provide team performance insight to our internal and external Leads to grow home product knowledge, team accuracy, and strong team relationships.

In this role, you will:

• Quickly become a Lily AI Home products data expert:
• Understand and retain a catalog of Home merchandise attributes and how to apply rules and definitions to images and data points
• Share expert knowledge and research skills about specific Home products, brands, and retailers
• Support your QC teammates in all remote teams processes and improve our remote teams’ productivity:
• Train and support remote teams in Home product knowledge
• Monitor remote teams annotations for quality and improve performance through daily feedback and regular Q&A sessions
• Collect and evaluate team metrics, create simple reports to present to QC Coordinators and Domain Managers
• Strategize innovative ways to increase remote team throughput and knowledge
• Provide daily correspondence to remote teams and conduct weekly remote team meetings
• Maintain team dashboards, training tools, trackers, and other materials
• Support teams with meeting account SLAs’
• Forecast teams’ daily and weekly processing volumes
• Assist in auditing large volumes of account data within tight deadlines
• Perform Quality Control on our accounts’ data for Home Domains (a plus if you have experience or knowledge in Beauty or Fashion products)
• Receive, retain, and grow from in-depth team feedback. Provide constructive feedback on a daily basis to peers.
• Provide collaborative input in trainings and meetings across teams
• Support teams with improving our AI
• Work with our Data Science team to objectively identify and communicate patterns and trends within large data sets to improve our Machine Learning.
• Provide constructive feedback to our engineers on tooling and processes
• Assist in quality assurance and accurately annotating images using internal programs for automation training.

What we consider critical for this role:

• 2+ years experience in Home decor or Home retail departments and products required. Passion for and detailed expertise in Home decor, soft and hard furnishings. Fashion styling knowledge is a plus.
• Empathy for the online consumer - ability to step into the online shopper’s shoes and understand their needs, desire to improve the shopping journey to guide your decision making.
• Previous experience in leading or training mid-large sized teams required
• Strong experience in organizational or administrative skills such as managing reports and databases, writing concise procedures, creating high efficiency
• Analytical skills to synthesize data and performance
• Tech savvy - very comfortable with G Suite: Google Sheets, Google Slides (or equivalent programs). You rely on shortcuts and formulas for efficiency. Ability to learn new programs and interfaces quickly.
• Meticulous attention to detail - discrepancies and inconsistencies stand out to you and you seek resolutions

Team Skills:

• Experience working with remote teams using interpersonal skills to establish effective partnerships.
• Excellent verbal and written communication skills to guide a remote team towards goals, using concise feedback and success metrics.
• Flexible and adaptive to frequently changing priorities and workflows. Willing to support multiple parallel projects and teams, and to accept reprioritization as necessary
• Curious, not afraid to seek help and ask questions in order to grasp the why behind processes and follow technical concepts
• You are a proactive problem solver across teams. You are resourceful and offer up short and long-term solutions when raising issues. Follow-through and integrity is important to you.
• Display your critical thinking skills as this is a great opportunity to grow into a leadership role within planning, strategizing, and innovating
• Highly self-directed and motivated to deliver high-quality work under pressure
• You thrive in a team setting and are eager to learn from others
• Comfortable working in a fast-paced, highly collaborative, dynamic work environment.

Nice to have:

• Experience in image analysis or data labeling preferred
• Willing to travel occasionally to the California Bay Area

Currently, we are hiring from the following states – (candidates must be in current residence or open to relocating):

• California ● Florida ● Georgia ● Illinois ● Massachusetts
• Minnesota ● Nevada ● New Jersey ● New York ● North Carolina
• Rhode Island ● Tennessee ● Texas ● Virginia ● Washington ● Utah ● Arizona

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $23-$29/hour USD, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

We are looking for a Senior Fashion Merchandise Analyst to join our team! This is a unique opportunity for you to shape the future of personalization & contribute to products built on a shopper’s emotional context.

In this role, you will:

• Partner closely with Sales Teams, Account Executives, and Customer Success teams to execute prospective account demos and provide expert fashion knowledge and assistance during customer calls.
• Label and audit image data attributes using internal programs for automation training
• Perform quality assurance on account data pre and post project delivery. Provide internal and external teams with detailed feedback on all deliverables
• Help develop and expand our current Fashion taxonomy in multiple languages
• Interpret data and extract actionable insights for automation improvements
• Analyze and identify patterns and trends within large data sets
• Evaluate automation and provide constructive feedback to our engineers on tooling and processes for more efficient labeling and to improve data quality
• Learn and retain Lily’s dictionary of fashion merchandise attributes to quickly become a Fashion product Category Expert
• Lead projects with limited direction and quickly adapt to changing timelines and priorities. Be a comfortable point person to represent our team in larger company projects with the opportunity to R&D (research and development) fashion trends and new Lily AI product offerings
• Collaborate and problem solve in meetings and be the voice for the Fashion Domain Team
• Receive, retain, and grow from in-depth team feedback. Provide constructive feedback on a daily basis to peers and teams
• Become a future support person in scaling our Domain Experts hiring, training, and scaling efforts

What you'll have:

Expertise

• 3+ years experience in the Fashion industry required
• Experience in image or data labeling and analysis preferred
• Ability to share your expert knowledge and research skills about specific Fashion products, current trends, brands, and retailers
• Familiar with all types of retail such as mid-market, fast fashion, department stores, luxury, specialty stores, hypermarkets, discount stores, secondhand, etc.
• Fashion & Styling terminology required (Passion for fashion!)
• Empathy for the online consumer - mission to improve the shopper experience as a guide to your decision making
• Ability to maintain sharp focus, even with repetitive tasks for long periods of time
• Tech savvy - knowledgeable and very comfortable in G Suite and MS Office
• Meticulous: Careful and attentive to detail, spots discrepancies quickly

Communication, Teamwork, & Leadership

• Excellent collaboration, interpersonal, and communication skills; comfortable addressing all levels within an organization
• Comfortable working with key stakeholders across teams and communicating requirements, deliverables, issues, and risks
• Eager, hands-on learning. Ability to absorb and deliver a lot of information.
• Thrives in team oriented Must be a team player and eager to learn
• Highly engaged during meetings, ability to problem solve, and consider all ideas
• Experience leading, facilitating, and executing projects from A-Z
• Strong organization skills or administrative functions such as managing reports and databases, implementing and improving procedures

Innovative

• Ability to take a given process and quickly streamline new approach for efficiency
• Embraces change! Adaptive to frequent personal and team reprioritization and workflows. Eager to support multi-functionally across parallel projects.
• Highly self-directed and motivated to deliver high-quality work under tight deadlines.
• Comfortable working in a fast-paced, highly collaborative, dynamic work atmosphere such as a start-up environment
• Curious, not afraid to seek help or ask questions in order to grasp the why behind processes and follow technical concepts around data maintenance
• You are a proactive problem solver across teams. You are resourceful and offer up short and long-term solutions while raising issues. Follow-through and integrity is important to you.

Nice to have:

• Previous experience in fashion retail or merchandising (a plus!)
• Willing to travel occasionally to the California Bay Area

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $23-$29/hour USD, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.

Overview:

We are looking for a Lead Home & Beauty Merchandise Analyst (Customer Success) to join our Domain Experts styling team! This role is key to offering our accounts an exceptional experience with our products. This is a unique opportunity for you to shape the future of personalization & contribute to products built on a shopper’s emotional context.

This is a unique opportunity for you to shape the future of personalization & contribute to products built on a shopper’s emotional context.

In this role, you will:

• Lead small teams in objectives and key results for customer success to ensure all account collateral for Home & Beauty domain products are attributed
• Partner closely with CSM Team to assist with account issues and improvements
• Support CSM Team by providing expert home and beauty knowledge and assistance during account calls
• Perform quality assurance on account data pre and post project delivery
• Help develop and expand our current Home & Beauty taxonomy
• Be an integral member of the Core Trends Team by identifying and researching Home & Beauty trends across the industry to build up our attributions
• Analyze and identify patterns and trends within large data sets
• Help to train and improve our our machine learning models by evaluating automation and interpreting data to extract actionable insights
• Ability to provide constructive feedback to our engineers on tooling and processes for more efficient labeling, and to improve data quality
• Have an opportunity to Research & Develop new Home & Beauty categories and cross train into new and existing verticals
• Help scale the Domain Experts department by meeting prospective industry talent
• Mentor and develop teammates in various areas of Home & Beauty category training, supporting customer success teams and current accounts management
• Troubleshoot and resolve issues alongside CSMs, Engineers, and Project Managers
• Learn and retain Lily’s dictionary of Home & Beauty merchandise attributes to quickly become a Home & Beauty product expert and category owner
• (In partnership with our QC Team) Be accountable for our remote teams’ data auditing performance through training, feedback, and accuracy iterations

What we consider critical for the role:

Skills

• 3+ years experience in the Home & Beauty industry required (such as home furnishings, interior design, home and beauty consultation, department retail or ecommerce)
• Experience in image or data labeling and analysis preferred
• Ability to share expert knowledge and research skills about specific Home products, current trends, brands, and retailers
• Well versed in Home & Beauty styling terminology required (Passion for home and beauty!)
• Empathy for the online consumer - insights to improve the shopper experience to guide your decision making
• Ability to maintain sharp focus, even with repetitive tasks for long periods of time
• Tech savvy - knowledgeable and very comfortable in G Suite or MS Office. A quick learner for new PM software, UIs, platforms, and tools. You can follow technical concepts and digest lots of information
• Meticulous: Careful and attentive to detail, spots discrepancies and errors quickly

GSD, Innovation & Impact

• Ability to implement processes while quickly streamlining new approaches for efficiency
• Eagerness to support multiple parallel projects and teams, and accepting reprioritization
• Strong organization skills or administrative functions such as managing reports, databases, training material, and trackers
• A high sense of self-direction and motivation to deliver high-quality work under pressure
• Comfortable working in a highly collaborative, dynamic startup atmosphere with all levels and expertise.
• Curiosity, not afraid to seek help or ask questions in order to grasp the ‘why’ behind processes
• Eagerness to learn in and out of your expertise.
• You are a proactive problem solver across teams and offer up short and long-term solutions before raising issues. Follow-through and integrity is important to you.
• Creativity when facing limitations. You are highly resourceful especially at times when resources become thin.

Communication, Teamwork, & Leadership

• Experience driving and executing projects from A-Z while addressing issues and risks to the right point persons
• Experience in guiding small teams with limited direction towards goals, using planning and delegating skills, productivity tracking, concise feedback, and success metrics
• High engagement during meetings, demonstrating presence to brainstorm, problem solve, and listen to all ideas
• Excellent presentation skills to reach diverse audiences. (ie: customer-facing visuals, SOPs, project scopes, etc)
• Active listening skills and not afraid to question assumptions and get up-front clarification on projects and tasks
• Experience in looping in key stakeholder and providing project snapshots
• Develop trust to lean on your colleagues
• Courage to bring in your personal leadership style and teamwork styles
• Verbal and visual communication skills to enrich the remote work experience for all team meetings and reach resolutions
• Ability to receive, retain, and grow from in-depth team feedback while providing constructive feedback on a daily basis to peers.
• Autonomy and adaptability to changing or competing timelines and priorities
• A confident voice to represent the Home & Beauty Domain Teams

Nice to have:

• Willing to travel occasionally to the California Bay Area for team off-sites, workshops, or business reviews.
• Previous remote work experience

Hours of Operation

• Monday through Friday, 8 hours Pacific Standard Time
• Opportunities for overtime

Compensation:

Compensation is competitive and will be determined based on a combination of experience, seniority, internal, external equity and location. For some context: this position in the US would pay between $23-$29/hour USD, depending on experience and seniority. In other regions, compensation will be adjusted for local currency and local market rates. Lily AI compensation policy is calculated with a focus on equity and where employees can thrive.