CrawlJobs Logo

Product Manager, Search and Embeddings

cohere.com Logo

Cohere

Location Icon

Location:
United States; Canada , New York ▼

Category Icon
Category:
IT - Software Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided
Save Job
Save Icon
Apply Position

Job Description:

One of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models. The Search and Embedding PM manages the following models and products: Embeddings (Embed-v4.0), Rerank (Rerank-v3.5), Compass (Cohere’s Search Solution), Evaluation of Search performance across all products and models

Job Responsibility:

  • Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities
  • Use data and customer engagements to better understand user needs and guide future product and model development
  • Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing
  • Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape
  • Read lots of papers and collaborate with ML on ensuring our models remain SOTA

Requirements:

  • At least 4+ years of product management experience, understanding customer needs, and launching successful products
  • At least 1+ years of working on search products and embedding/reranking models
  • Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics
  • Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones
  • Showcase strong leadership, organizational, and execution skills, along with proven communication abilities
What we offer:
  • An open and inclusive culture and work environment
  • Work closely with a team on the cutting edge of AI research
  • Weekly lunch stipend, in-office lunches & snacks
  • Full health and dental benefits, including a separate budget to take care of your mental health
  • 100% Parental Leave top-up for up to 6 months
  • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement
  • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend
  • 6 weeks of vacation (30 working days!)

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Icon
Cohere - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon
PREMIUM
More languages and countries
+ Unlock 31694 hidden job offers
Languages
English Čeština Deutsch Ελληνικά Español Français +15
Countries
United States United Kingdom India Canada Australia +
See plans
Plans from $2.99 / month

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Product Manager, Search and Embeddings

Director of Product, Search & Discovery

We are building a new Search & Discovery product organization at Scribd.com, and...
Location
Location
United States; Canada; Mexico , San Francisco; Atlanta; Austin; Boston; Chicago; Dallas; Denver; Houston; Jacksonville; Los Angeles; Miami; New York City; Phoenix; Portland; Sacramento; Salt Lake City; San Diego; Seattle; Washington, D.C.; Ottawa; Toronto; Vancouver; Mexico City
Salary
Salary:
142500.00 - 275000.00 USD / Year
scribd.com Logo
Scribd
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of product management experience
  • 5+ years managing PM teams or leading multi-disciplinary product groups
  • Demonstrated success owning discovery, personalization, search, or ranking experiences at scale in a consumer technology environment
  • Deep technical fluency in modern ML and AI systems, including retrieval and ranking, semantic embeddings, LLMs, retrieval augmented generation, feature stores, model evaluation, and real-time personalization
  • A strong track record of translating user needs, data insights, and competitive trends into breakthrough discovery features, ideally including ML or LLM powered experiences
  • Proven ability to lead through ambiguity, make strategic tradeoffs, and balance long-term platform investments with near-term business results
  • Exceptional written, visual, and verbal communication skills, including experience presenting to executives and cross-functional partners
  • Experience running large-scale A/B tests, user research, and multi-surface experimentation programs
  • Bachelor’s degree in a technical or related field (Computer Science, Engineering, Mathematics, HCI) or equivalent experience
Job Responsibility
Job Responsibility
  • Set the multi-year Discovery strategy
  • Define and drive the long-term vision for Scribd’s discovery ecosystem, including recommendations, search, ranking, and semantic content understanding
  • Articulate how we move from document-level retrieval to knowledge-level discovery using foundational models and LLMs
  • Align this vision with company priorities in engagement, retention, and subscription growth, balancing foundational ML investments with high-impact product improvements
  • Lead and grow a world-class product organization
  • Serve as the founding product leader for the Search & Discovery group, managing, mentoring, and inspiring a team of product managers across discovery surfaces and platforms
  • Recruit and develop top PM talent, set a high bar for product craft, and build a culture that combines deep technical curiosity with strong user empathy
  • Establish durable cross-functional operating rhythms with Engineering, ML, Data Science, Design, Content, and Trust & Safety
  • Build next generation discovery systems using LLMs and ML
  • Oversee the evolution of Scribd’s personalization and retrieval stack, combining semantic embeddings, behavioral signals, hybrid retrieval, and LLM-powered reasoning
What we offer
What we offer
  • Healthcare Insurance Coverage (Medical/Dental/Vision): 100% paid for employees
  • 12 weeks paid parental leave
  • Short-term/long-term disability plans
  • 401k/RSP matching
  • Onboarding stipend for home office peripherals + accessories
  • Learning & Development allowance
  • Learning & Development programs
  • Quarterly stipend for Wellness, WiFi, etc.
  • Mental Health support & resources
  • Free subscription to the Scribd Inc. suite of products
  • Fulltime
Read More
Arrow Right

Staff Product Manager, Search

In this pivotal role, you will set the strategic vision for Coursera's search ex...
Location
Location
United States
Salary
Salary:
148200.00 - 216600.00 USD / Year
coursera.org Logo
Coursera
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience building consumer products at scale—ideally high-intent search, discovery, or marketplace experiences—with a strong understanding of intuitive, trustworthy UX and backend search capabilities
  • 5+ years of product management experience owning the success of consumer-facing products, including responsibility for driving engagement and revenue outcomes
  • 2+ years of hands-on PM experience with search, personalization, or recommendation systems, including platform-level capabilities that support multiple use cases
  • Proven ability to deliver complex, high-impact product initiatives from ideation through launch, using both quantitative (A/B and multivariate testing) and qualitative research to inform decisions
  • Demonstrated strength in influencing and inspiring cross-functional partners through clear communication, collaboration, and shared vision
Job Responsibility
Job Responsibility
  • Set the vision for next-generation discovery and search experiences that help learners find the right content through highly relevant, personalized, and AI-driven experiences
  • Own conversational search across Coursera, partnering with cross-functional product teams to deliver a seamless, end-to-end AI experience throughout the learner journey
  • Improve search relevance and quality by leveraging advances in IR/ML, embeddings, and LLMs to enhance query understanding, semantic and multilingual search, and personalized ranking
  • Drive rapid experimentation to understand evolving learner behaviors, market trends, and growth opportunities, using data to inform strategy and product decisions
  • Leverage market insights and competitive analysis to identify opportunities for revenue growth and differentiated personalization across the platform
  • Define, track, and optimize KPIs related to discovery, conversion, and merchandising, collaborating closely with Marketing and Product partners to align with business and revenue goals
What we offer
What we offer
  • competitive, zone-based pay aligned to your location, experience, and role level
  • comprehensive health and wellness benefits
  • bonus and RSU equity programs
  • global perks designed to help you grow and thrive wherever you are
  • Fulltime
Read More
Arrow Right

Senior Product Manager, Data & Retrieval

Harvey is building the AI platform for the world’s top legal and professional se...
Location
Location
United States , San Francisco
Salary
Salary:
178500.00 - 241500.00 USD / Year
harvey.ai Logo
Harvey
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience building or managing search, retrieval, recommendation, or data platforms at scale
  • Experience working with complex, heterogeneous, or domain-specific datasets with structured + unstructured data
  • Understanding of modern retrieval methods, including hybrid search (lexical + vector), dense retrieval, re-ranking, embeddings, chunking strategies, and index optimization
  • Hands-on experience with LLMs or RAG frameworks (evaluation, grounding, hybrid pipelines, query rewriting, LLM-as-a-judge, retrieval metrics)
  • Ability to partner with engineers on technical architecture, with enough depth to challenge assumptions, propose solutions, and influence design
  • A product mindset for search—balancing user needs, domain complexity, and system constraints to propose high-leverage improvements
Job Responsibility
Job Responsibility
  • Drive the roadmap and strategy for Harvey’s “Data Factory”, ensuring we scale our data 100x through new platforms that build the ‘legal index’ of the world
  • Work with internal operations and external data providers to methodically expand coverage, accelerate execution, and improve dataset quality
  • Own and evolve Harvey’s end-to-end data architecture—from ingestion and transformation to storage, indexing, and retrieval—ensuring performance, reliability, and scalability for LLM-powered products
  • Partner with Applied AI engineers to build and optimize retrieval systems, embeddings, search models, and evaluation frameworks
  • Architect and oversee large-scale ingestion pipelines that aggregate, normalize, and continuously update millions of heterogeneous legal documents across global jurisdictions
  • Collaborate cross-functionally with Product Engineering, Applied AI, Research, and Platform teams to deliver high-quality production systems that support reasoning, summarization, and legal research workflows
What we offer
What we offer
  • Comprehensive health, dental and vision coverage
  • retirement benefits (401k match up to 4%)
  • flexible PTO
  • equity plan
  • bonus
  • Fulltime
Read More
Arrow Right

Senior Machine Learning Engineer, Personalization and Recommendations

As a Senior Machine Learning Engineer on the Personalization & Recommendations t...
Location
Location
United States , San Francisco
Salary
Salary:
183360.00 - 248000.00 USD / Year
edtechjobs.io Logo
EdTech Jobs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in applied machine learning or ML-heavy software engineering, with a strong focus on personalization, ranking, or recommendation systems
  • Demonstrated impact improving key metrics such as CTR, retention, or engagement through recommender or search systems in production
  • Strong hands-on skills in Python and PyTorch, with expertise in data and feature engineering, distributed training and inference on GPUs, and familiarity with modern MLOps practices — including model registries, feature stores, monitoring, and drift detection
  • Deep understanding of retrieval and ranking architectures, such as Two-Tower models, deep cross networks, Transformers, or MMoE, and the ability to apply them to real-world problems
  • Experience with large-scale embedding models and vector search, including FAISS, ScaNN, or similar systems
  • Proficiency in experiment design and evaluation, connecting offline metrics (AUC, NDCG, calibration) with online A/B test outcomes to drive product decisions
  • Clear, effective communication, collaborating well with product managers, data scientists, engineers, and cross-functional partners
  • A growth and mentorship mindset, helping elevate team quality in modeling, experimentation, and reliability
  • Commitment to responsible and inclusive personalization, ensuring our systems respect learner privacy, fairness, and diverse goals
Job Responsibility
Job Responsibility
  • Design and implement personalization models across candidate retrieval, ranking, and post-ranking layers, leveraging user embeddings, contextual signals and content features
  • Develop scalable retrieval and serving systems using architectures such as Two-Tower models, deep ranking networks, and ANN-based vector search for real-time personalization
  • Build and maintain model training, evaluation, and deployment pipelines, ensuring reliability, training–serving consistency, observability, and robust monitoring
  • Partner with Product and Data Science to translate learner objectives (engagement, retention, mastery) into measurable modeling goals and experiment designs
  • Advance evaluation methodologies, contributing to offline metric design (e.g., NDCG, CTR, calibration) and supporting rigorous A/B testing to measure learner and business impact
  • Collaborate with platform and infrastructure teams to optimize distributed training, inference latency, and serving cost in production environments
  • Stay informed on industry and research trends, evaluating opportunities to meaningfully apply them within Quizlet’s ecosystem
  • Mentor junior and mid-level engineers, supporting technical growth, experimentation rigor, and responsible ML practices
  • Champion collaboration, inclusion, curiosity, and data-driven problem solving, contributing to a healthy and productive team culture
What we offer
What we offer
  • 20 vacation days
  • Competitive health, dental, and vision insurance (100% employee and 75% dependent PPO, Dental, VSP Choice)
  • Employer-sponsored 401k plan with company match
  • Access to LinkedIn Learning and other resources to support professional growth
  • Paid Family Leave, FSA, HSA, Commuter benefits, and Wellness benefits
  • 40 hours of annual paid time off to participate in volunteer programs of choice
  • Fulltime
Read More
Arrow Right

Principal AI Engineer

We are looking for a Principal AI Engineer to lead the design and deployment of ...
Location
Location
United States
Salary
Salary:
200000.00 - 300000.00 USD / Year
apollo.io Logo
Apollo.io
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 10+ years of software engineering experience
  • at least 3 years in applied LLM or agentic AI systems (2023–present)
  • proven success in deploying LLM-powered products used by real users at scale
  • deep backend & systems engineering expertise with Python, distributed systems, and scalable APIs
  • familiarity with LangChain, LlamaIndex, or similar orchestration frameworks
  • experience with RAG pipelines, vector DBs, embedding models, and semantic search tuning
  • experience managing performance across cloud providers (e.g., AWS Bedrock, OpenAI, Anthropic, etc.)
  • demonstrated experience building multi-step agents, planning workflows, chaining reasoning steps, and integrating APIs with agent memory/state
  • comfort with advanced prompting strategies, few-shot and chain-of-thought reasoning, and embedding retrieval setups
  • strong understanding of AI system evaluation, human ratings, A/B experimentation, and feedback loop pipelines
Job Responsibility
Job Responsibility
  • Architect and lead the development of multi-agent systems capable of long-horizon planning, reasoning, and API orchestration
  • build reusable agentic components that integrate deeply into sales and marketing processes
  • own and evolve our in-house platform for scalable, low-latency, and cost-efficient LLM and agent deployments
  • lead design of interfaces powered by natural language understanding and retrieval-augmented generation (RAG)
  • build embedding-based, intent-aware search and personalization systems tuned to business user needs
  • drive innovation in personalized outreach generation using context-aware generation pipelines
  • tune inference pipelines, caching layers, and model selection logic for high-scale, cost-aware performance
  • define and drive robust offline and online testing methodologies (A/B, sandboxing, human evals) across agents and LLM flows
  • architect human-in-the-loop systems and telemetry to improve accuracy, UX, and explainability over time
What we offer
What we offer
  • equity
  • company bonus or sales commissions/bonuses
  • 401(k) plan
  • at least 10 paid holidays per year
  • flex PTO
  • parental leave
  • employee assistance program
  • wellbeing benefits
  • global travel coverage
  • life/AD&D/STD/LTD insurance
  • Fulltime
Read More
Arrow Right

Ai Application Operations & Maintenance Engineer (Azure)

The organization is seeking a professional specialized in Application Maintenanc...
Location
Location
Albania , Tirana
Salary
Salary:
Not provided
businessintegrationpartners.com Logo
Business Integration Partners
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience in Application Maintenance and Operations for enterprise applications
  • Solid knowledge of Python in an application context focused on AI functionalities
  • Operational knowledge of Microsoft Azure and its main PaaS services
  • Experience with Azure Kubernetes Service (AKS) and containerized workloads
  • Strong troubleshooting skills based on logs, metrics, and alerts
  • Knowledge of monitoring, logging, and observability principles
  • Familiarity with microservices architectures and multi-layer environments
  • Understanding of IAM concepts, Managed Identities, and secret management
  • Experience operating AI / Generative AI solutions in production
  • Knowledge of Azure OpenAI, embedding services, and vector search
Job Responsibility
Job Responsibility
  • Manage corrective and adaptive maintenance activities for AI applications in production
  • Analyze and resolve application incidents and anomalies across front-end, back-end, and service layers
  • Support application release activities and configuration management across different environments (Dev/Test/Prod)
  • Collaborate with development teams to analyze application issues and improve overall software quality
  • Provide operational support for solutions based on Azure Kubernetes Service (AKS), including management of containerized workloads
  • Continuously monitor application and infrastructure services using Azure Monitor, Log Analytics, and Application Insights
  • Analyze application logs, metrics, and alerts to ensure appropriate levels of reliability and performance
  • Perform advanced troubleshooting on data ingestion pipelines, AI services, search services, and databases
  • Provide operational support for data persistence services, including Azure SQL Database for structured data, Azure Cosmos DB for unstructured data and conversational history, Azure Storage Accounts (Blob Storage) for document repositories
  • Verify and support correct content indexing and retrieval through Azure AI Search, including vector search and similarity search
  • Fulltime
Read More
Arrow Right

Senior Product Manager

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
  • 2+ years of proven product sense with a demonstrated track record of defining and shipping user-centric features in complex, technically deep environments platforms, AI, search or data infrastructure
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Define and drive the product vision, strategy, and roadmap for AI-powered search and retrieval capabilities within the security platform
  • Obsess the customer, engage directly with security practitioners, gather insights from telemetry, research, and direct feedback, and translate findings into product requirements that improve investigation, hunting, and response workflows
  • Partner with engineering and applied science teams to shape technical direction for search infrastructure, including latency optimization, caching, availability, and scale, while developing a effective working understanding of AI building blocks such as embeddings, LLM orchestration, and retrieval-augmented generation
  • Drive cross-team partnerships and relationships across disciplines to establish shared vision, alignment, and coordinated execution on complex, cross-cutting experiences
  • Orchestrate end-to-end execution with engineering, design, and partner product teams to deliver high-impact experiences on time with clear milestones, rigorous prioritization, and crisp communication
  • Drive go-to-market readiness: shape rollout plans, partner with marketing on communications, ensure robust customer support, and anticipate future needs from ongoing feedback and usage
  • Represent the effort within Teams and with partners across Microsoft, providing clarity and advocating for value delivery
  • Represent Microsoft and the product externally with customers and partners
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Product Manager

Security represents the most critical priorities for our customers in a world aw...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree AND 5+ years experience in product/service/program management or software development OR equivalent experience
  • 2+ years of proven product sense with a demonstrated track record of defining and shipping user-centric features in complex, technically deep environments platforms, AI, search or data infrastructure
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
Job Responsibility
  • Define and drive the product vision, strategy, and roadmap for AI-powered search and retrieval capabilities within the security platform
  • Obsess the customer, engage directly with security practitioners, gather insights from telemetry, research, and direct feedback, and translate findings into product requirements that improve investigation, hunting, and response workflows
  • Partner with engineering and applied science teams to shape technical direction for search infrastructure, including latency optimization, caching, availability, and scale, while developing a effective working understanding of AI building blocks such as embeddings, LLM orchestration, and retrieval-augmented generation
  • Drive cross-team partnerships and relationships across disciplines to establish shared vision, alignment, and coordinated execution on complex, cross-cutting experiences
  • Orchestrate end-to-end execution with engineering, design, and partner product teams to deliver high-impact experiences on time with clear milestones, rigorous prioritization, and crisp communication
  • Drive go-to-market readiness: shape rollout plans, partner with marketing on communications, ensure robust customer support, and anticipate future needs from ongoing feedback and usage
  • Represent the effort within Teams and with partners across Microsoft, providing clarity and advocating for value delivery
  • Represent Microsoft and the product externally with customers and partners
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right