As an Operations Lead you will:

• Scale the RAG teams annotation output while improving quality and effectiveness of their work
• Partner with internal stakeholders to decide on staffing and hiring strategy to meet roadmap requirements, as well as work with external vendors to enrich our data pipeline as needed
• Own individual and team-wide performance management of our RAG annotators, including partnering with the Data Ops team to continuously improve our performance management KPIs, plans, and processes
• Run and develop onboarding for new RAG annotators, as well as identifying opportunities and tools for ongoing education to up-skill, coach, and improve team
• Test-iterate regularly by running pilots and experiments, and stay up-to-date on industry trends and best practices
• Assist with building library of high-quality prompts or prompt chains to accomplish a wide variety of tasks

You might be a good fit if you:

• Have 2+ years experience leading a nimble team or complex project group before with great results in a tech-focused role
• Are resourceful, focused, and highly-organized
• Are known as an inclusive, effective and motivating communicator
• Are ready to spend 4 days onsite each week in our London office with our Annotator team
• Bonus points if you are an incredible writer - you are a word nerd, might love linguistics and are hyper-fixated on getting every comma in the right place

A typical day at Cohere might include:

• Leading the technical talk track on customer calls
• Deep dives on customer problems and Cohere technology
• Designing novel enterprise solutions with bleeding-edge NLP technology
• Facilitating customer evaluations and PoC
• Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere
• Collaborating with the Product and Engineering teams to ensure our offering match the customers’ desires
• Working closely with our partners to develop a strategy for enabling and accelerating their customers

This might be for you if you have some of the following:

• 5+ years of customer-facing technical pre/post sales Solutions Architect experience
• 5+ years working with Sales to drive GTM motions
• 2+ years architecting or deploying cloud-native solutions
• A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's
• Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM)
• Comfortable working with Python and Jupyter Notebooks
• Comfortable using version control/Git
• Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences
• High tolerance for ambiguity.
• You can identify and implement high-impact processes in unstructured environments.

A typical day for a Marketing Intern might include:

• Help in implementing brand guidelines and audit assets across the web for consistency
• Support the marketing team's operations by keeping our documentation and monthly calendars up-to-date and organized
• Create campaign plans in a project management system to optimize marketing workflows
• Assist in coordinating an inaugural exclusive event for C-levels
• Support with the execution of campaigns and activations including social and email deliverables
• Help review analytics and develop reports related to key marketing objectives
• Assist with the organization and procurement of marketing collateral and swag

You may be a good fit if you are:

• Currently enrolled in a post-secondary institution with a focus on marketing
• An excellent communicator with organizational and interpersonal skills
• Able to work independently with a high degree of accuracy and attention to detail
• Able to multitask and meet multiple deadlines
• A self-starter
• Able to always exercise diplomacy and tact
• Bonus: Proficiency in marketing tools

As the Technical Product Marketing Manager you will:

• Work closely with our modeling, Tech, Engineering, Product, Community, and Sales teams to develop product and solution narratives that will be relevant for both technical and business decision-makers
• Build positioning, value prop, messaging and differentiation for each product working closely with the product and tech teams
• Develop customer-facing technical and product marketing materials to showcase features/capabilities or new model/or endpoint introductions that will drive the adoption of Cohere solutions
• Orchestrate product launches, working cross-functionally to amplify messages with strategic cloud providers and tech partners in the ML ecosystem
• Author and ghost-write collateral including in-depth technical blogs, sales one-pagers, sales presentations, white-papers, case studies and contributed articles - to support Cohere’s POV and educate prospective customers and influencers
• Be the internal champion and voice of the customer to make sure we are always thinking outside-in

You may be a good fit, if you have:

• 5+ years experience in a technical product marketing role for a B2B SaaS or software development company
• Technical experience to weigh tradeoffs and have in depth discussions with data scientists and engineers on the nuances of complex AI systems
• Excellent written and verbal communication skills, with the ability to simplify complex technical concepts for both technical and non-technical audiences
• Analytical and data-driven, with experience using performance metrics, market data and customer insights to inform product positioning and GTM narratives
• Ability to work effectively in a fast-paced, cross-functional team environment
• Experience launching and co-marketing products, integrations and features to market in a fast-paced startup environment
• Excellent interpersonal skills that enable you to build champions with internal and external stakeholders across diverse teams
• A unique blend of business and technical savvy; a big-picture, see-around-the-bend vision; and the drive, influencing skills and ability to collaborate with R&D and Leadership teams to transform that vision into a reality

As the Senior Technical Product Marketing Manager you will:

• Work closely with our modeling, Tech, Engineering, Product, Community, and Sales teams to develop product and solution narratives that will be relevant for both technical and business decision-makers
• Build positioning, value prop, messaging and differentiation for each product working closely with the product and tech teams
• Develop customer-facing technical and product marketing materials to showcase features/capabilities or new model/or endpoint introductions that will drive the adoption of Cohere solutions
• Orchestrate product launches, working cross-functionally to amplify messages with strategic cloud providers and tech partners in the ML ecosystem
• Author and ghost-write collateral including in-depth technical blogs, sales one-pagers, sales presentations, white-papers, case studies and contributed articles - to support Cohere’s POV and educate prospective customers and influencers
• Be the internal champion and voice of the customer to make sure we are always thinking outside-in

You may be a good fit, if you have:

• 5+ years experience in a technical product marketing role for a B2B SaaS or software development company
• Technical experience to weigh tradeoffs and have in depth discussions with data scientists and engineers on the nuances of complex AI systems
• Excellent written and verbal communication skills, with the ability to simplify complex technical concepts for both technical and non-technical audiences
• Analytical and data-driven, with experience using performance metrics, market data and customer insights to inform product positioning and GTM narratives
• Ability to work effectively in a fast-paced, cross-functional team environment
• Experience launching and co-marketing products, integrations and features to market in a fast-paced startup environment
• Excellent interpersonal skills that enable you to build champions with internal and external stakeholders across diverse teams
• A unique blend of business and technical savvy; a big-picture, see-around-the-bend vision; and the drive, influencing skills and ability to collaborate with R&D and Leadership teams to transform that vision into a reality

EA duties

• Managing the day-to-day schedules for 2-3 members of our leadership team
• Coordinating internal and external meetings (think 1:1s, board meetings, partner meetings) and assist with documentation that may be required in conjunction with meetings
• Overseeing travel arrangements and logistics for our leadership team
• Working to identify new ways to add value and proactively take on tasks that can help our leadership team be more productive. We’re looking for someone who loves to optimize operations and processes and is equally excited to share their ideas with our team!
• Coordinating team events and offsites
• Communicate effectively with internal and external stakeholders while maintaining a strict level of confidentiality

Office Manager duties

• Opening, closing and managing the front desk reception throughout business hours, greeting guests warmly and professionally upon arrival.
• The overall appearance of our office, ensuring it is tidy and organized, particularly the common areas and kitchens.
• Creating a welcoming, engaging and comfortable environment for employees and guests who come into the office.
• Ordering, maintaining, and restocking office supplies, drinks and snacks.
• Managing vendor relations including cleaners, linen service, food vendors, etc.
• Addressing and managing any building and office-related issues (i.e coordinate repairs or maintenance).

Essential experience

• Have 2+ years of experience working as an Executive Assistant or Administrative Assistant, with experience supporting the day-to-day operations of an office.
• Proven experience partnering with senior leaders in a fast-paced, growing, innovative environment.
• Experience managing multiple calendars, demonstrating flexibility and problem-solving abilities to adjust or prioritize schedules
• Professional level experience in with tools like Google Workplace (Calendar, Mail, Docs, Sheets, Google Meet, etc.) and Slack

Essential soft skills

• Have a hospitality mindset, you anticipate others’ needs and can work proactively to address them.
• Are a strong communicator, both written and verbal - and feel comfortable speaking to C-level stakeholders.
• Are highly self-motivated and exercise discretion, tact, and professionalism. Enjoys a balance of collaborative and independent work.
• Are detail-oriented, love staying organized, and stay cool under tight deadlines.

Customer Engagement and Research

• Work with developers and enterprise customers to understand their needs and pain points through feedback, focus groups, customer interviews, conferences, etc.
• Research the competitive landscape, industry trends, and stay up to date on the latest AI and deep learning papers from leading conferences (NeurIPS, ICLR, etc.) to find new ideas and inspire the team
• Analyze product data to understand usage and find opportunities for improvement
• Work with leadership to shape and understand company strategy and goals

Design and Product Development

• Leverage insights from customer engagement to define and prioritize a product roadmap
• Spec and design improvements and features, including defining metrics for success
• Propose new initiatives and features
• Work with partners and leadership to prioritize short and long-term investments

Execution

• Make tradeoffs during unforeseen challenges uncovered in the development process
• Lead internal product planning, coordinating team resources and informing stakeholders
• Ensure projects are rolled out with clear metrics and hypotheses and define the next steps for success
• Market and celebrate successes and document learnings, internally and externally

Team and Company Impact

• Embrace adjacent roles and responsibilities per team and project needs -- it’s a startup after all!
• Promote a culture of learning and listening

You may be a good fit, if you have:

• 5+ years of product management experience with at least 2 years of experience working handson with NLP, Deep Learning, and/or LLMs
• Direct experience guiding the work of research inspired teams building AI models and products.
• Direct experience making highly technical products simple and usable and launching them to enterprise customers.
• A scrappy, startup mentality to move fast, iterate quickly, learn on the go, and take initiative
• Great communication and interpersonal skills working across different teams, personalities, and working styles
• Bachelor’s degree in Computer Science, a related technical field (math, EE, etc.), or relevant technical experience.
• [Bonus] Advanced technical degree (MS or PhD), or a background in machine learning, algorithms, large scale systems, and statistics

As an Engineering Program Manager, you will:

• Communicate: Provide clear, timely and objective communication across the tech organization, between Cohere teams, to company leadership, and with external partners & customers. Be the voice of expertise when it comes to operational excellence.
• Optimize: Coordinate ideation-to-action and break down complex issues into strategies to drive engineering alignment with product, business, and marketing, maintaining teamwork and collaboration.
• Plan: Create and manage project schedules with clear dependencies, critical path and systematic methodology. Manage risks and mitigations, and re-plan as events warrant. Drive alignment across the organization and between teams.
• Execute: Drive on-time delivery and deployment, identifying development and feasibility needs, and establishing achievements for checkpoints and status updates.
• Problem solve: Proactively identify issues and solutions, and marshal resources necessary to attack and resolve blockers. Coordinate with teams to identify, track, and prioritize impacts to schedule and product quality, including cross-functional dependencies.

You may be a good fit if you have:

• Have at least three years working as an Engineering or Technical Program or Project Manager on a product that required NLP model training or optimization for a consumer product.
• Have owned the delivery of multiple consumer-facing software products requiring large organizations (50+) to execute to a delivery schedule (experience leading and supporting new “0-to-1” initiatives is a plus); startup experience is great, but you should have also spent multiple development cycles on an established product.
• Can give multiple examples demonstrating the project management skills to structure, track and handle several simultaneous fast-paced work streams across cross-functional (engineering, product, business, etc) teams.
• Have designed and rolled out organization or company-level operational programs or processes that measurably improved the customer or employee experience.
• Use data and metrics to extract insights, back up or challenge assumptions, make recommendations, prioritize features, and drive actions.
• Are an expert at communicating concisely and effectively in a variety of ways, and can instill confidence and trust with key partners (e.g. business, product, marketing, designers, OS engineers, ML researchers) with your initiative.
• Are considered self-motivated, resilient, and inspiring with a bias for action; demonstrate creative and critical thinking capabilities; and can quickly (real-time) triage, prioritize, and lead under pressure.
• Have studied Cohere and the NLP product space before you apply and are excited about the application of machine learning to solve language-specific consumer challenges (experience with NLP is a huge plus).

As a Security Engineer Intern you will:

• Engineer processes and tooling to meet security and compliance requirements
• Participate in security operations functions, including security event monitoring, endpoint protection, and network security
• Identify and help mitigate security issues, misconfigurations and vulnerabilities related to the Cohere cloud, container, and Kubernetes infrastructure
• Develop security automation and playbooks to improve cloud security posture
• Create documentation and runbooks for information security processes

You may be a good fit if:

• You are pursuing a degree in Information Security, Computer Science, Systems Engineering, Privacy Engineering, Data Science or other related fields
• You have broad scripting/programming skills (Java, Python, Bash, etc.)
• You have knowledge of common security vulnerabilities and information security risks as well as countermeasures and compensating controls
• You have a basic understanding of cloud platforms such as AWS, GCP, OCI through coursework, projects, or self-study
• You are passionate about developing security tooling and automation
• You have previous internship experience/are interested in exploring a career in cybersecurity
• You are a problem solver with the ability to come up with simple solutions to complex problems and are open to learning and trying new things in a fast-paced environment

As a Member of Technical Staff, you will:

• Design, train and improve upon cutting-edge models
• Develop new techniques to train and serve models safer, better, and faster
• Train extremely large scale models on massive datasets
• Engage in research collaborations with our partner organizations and academic affiliations
• Publish your work in top-tier conferences and journals
• Work closely with product teams to develop solutions
• Assist our legal teams with preparation of patents on developed IP
• Join us at a pivotal moment, shape what we build and wear multiple hats!

You may be a good fit if you have:

• Proficiency in Python and related ML frameworks such as Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Experience using large-scale distributed training strategies
• Familiarity with autoregressive sequence models, such as Transformers
• Strong communication and problem-solving skills
• A demonstrated passion for applied NLP models and products
• Bonus: experience writing kernels for GPUs using CUDA
• Bonus: experience training on TPUs
• Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP)
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

As a Member of Technical Staff on this team, you will:

• Design, train and improve upon cutting-edge search models
• Gather high-quality retrieval datasets and optimize data pipelines for model training and evaluation.
• Work closely with model serving team to ensure that inference is fast and stable.
• Collaborate with product teams to develop solutions.
• Engage in research collaborations with our partner organizations and academic affiliations and publish your work in top-tier conferences and journals
• Join us at a pivotal moment, shape what we build, have a strong ownership mindset, and wear multiple hats!

You may be a good fit if you have:

• Proficiency in Python and related ML frameworks such as PyTorch, Tensorflow, TF-Serving, JAX, and XLA/MLIR
• Experience training representation models, or using text embeddings in downstream tasks
• Familiarity with various information retrieval techniques, such as lexical search and dense vector search
• Familiarity with autoregressive sequence models, such as Transformers
• Strong communication and problem-solving skills
Bonus points for:
• Proficiency in other programming languages, such as C++ or Golang
• Experience using large-scale distributed training strategies with GPUs
* This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere.

Must-have qualifications:

• Experience in Golang (or, other languages designed for high-performance scalable servers)
• Strong understanding or working experience with distributed systems
• Experience designing, implementing, and maintaining a production service at scale

Preferred qualifications:

• Experience with serving ML models
• Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures
• Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference
• Experience in performance benchmarking, profiling, and optimization
• Hands-on experience building and debugging microservices architecture
• Experience with cloud infrastructure (e.g. AWS, GCP)

You may be a good fit if you have:

• Experience with serving ML models
• Experience designing, implementing, and maintaining a production service at scale
• Familiarity with inference characteristics of deep learning models, specifically, Transformer based architectures.
• Familiarity with computational characteristics of accelerators (GPUs, TPUs, and/or Inferentia), especially how they influence latency and throughput of inference.
• Strong understanding or working experience with distributed systems
• Experience in performance benchmarking, profiling, and optimization.
• Experience with cloud infrastructure (e.g. AWS, GCP)
• Experience in Golang (or, other languages designed for high-performance scalable servers)

As a Senior DevSecOps Engineer you will:

• Harden our infrastructure and cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes
• Proactively drive cloud and network security initiatives on the Security team
• Integrate security into our applications throughout the software development lifecycle
• Collaborate with other engineering teams and act as a crucial bridge between development and security, ensuring that software is built and deployed securely without compromising agility and speed
• Write Go/Python code, security peer review code, build proofs of concept and implement automation scripts
• Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries

You may be a good fit if:

• 5+ years of previous experience in DevOps, DevSecOps, Application/Product Security or software development with a strong focus on security tool onboarding and optimization
• You have experience in managing cloud platforms and services (AWS and OCI experience is preferred)
• You have experience with one or more of infrastructure automation, network segmentation, system hardening, container security concepts, and security observability
• You have an understanding of network security, cloud security concepts, and industry best practices across many fields of security
• You have experience with multiple languages such as Golang and/or Python
• You are comfortable with ambiguity and are able to make informed decisions with little data
• You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available
• You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences

As an Engineering Manager, Internal Infrastructure, you will:

• Own and manage internal-facing infrastructure on GCP and OCI
• Improve engineering velocity for software & machine learning engineers
• Support & improve the overall build & test process
• Manage the team's workload and priorities, ensuring timely delivery of projects
• Mentor and coach team members, providing guidance on technical and career development

You may be a good fit if:

• You have experience managing an infrastructure, platform, or DevEx team
• You are excited about LLMs and want to find ways to help dogfood our products
• You have excellent presentation and communication skills; comfortable explaining technical topics to teams with different skillsets
• You are excellent at understanding the immediate problems and empathizing with a technical team’s pain points
• You are passionate about recruiting, growing people and teams
• You are comfortable with leading multiple projects and adjusting processes quickly when priorities change
• (Bonus!) You have experience with Kubernetes or MLOps