CrawlJobs Logo

Engineering Manager, AI Search

United States, San Francisco 280000.00 - 330000.00 USD / Year · Job Posted February 21, 2026
Apply Position
Job Link Share

Job Description

As the Engineering Manager for our Search Quality & Ranking team, you'll lead a team of engineers to build and improve the search experience that millions of Notion users rely on every day. You'll guide the team's work on search ranking algorithms, query understanding, AI-powered connector search, and experimentation that help us continuously improve search quality at scale.

Job Responsibility

  • Build and manage a diverse and inclusive team of engineers working on search ranking, query understanding, and search UX
  • Recruit, coach, and develop engineers
  • Collaborate closely with cross-functional peers to set the direction of your team
  • Facilitate planning—the prioritization, sequencing, and staffing of work—for your team
  • Keep the team accountable and ensure the team is consistently working on the most important things
  • Be responsible for maintaining a high-quality bar for everything your team builds
  • Be accountable for driving project execution, using data to make decisions about prioritization and impact
  • Work with the rest of the Engineering team to shape how Notion's engineering organization works

Requirements

  • Experience managing engineering teams working on search, ranking, relevance, or related areas
  • Deep understanding of building and maintaining high-quality search experiences at scale
  • Sufficiently deep background in search quality, ranking algorithms, and experimentation methodologies
  • Understanding that search is mission-critical infrastructure
  • Excited about the evolving landscape of AI-powered search
  • Ability to create collaborative, empowering, supportive, and challenging team environments
  • Value empathetic and direct communication
  • High tolerance for ambiguity and change
  • Passionate about line management responsibilities and building a strong, cohesive team culture
  • Curious and willing to adopt AI tools

Nice to have

  • Experience with AI connectors, enterprise search, or building search experiences across multiple data sources
  • Experience building retrieval-augmented generation (RAG) based features or integrating LLM-powered capabilities into search systems
  • Experience building or managing teams responsible for experimentation and A/B testing frameworks for search
  • Managed engineering teams at startups before, particularly during periods of rapid growth and organizational change
  • Experience rolling out engineering and management practices and processes
  • Familiarity with computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay

What we offer

Highly competitive cash compensation, equity, and benefits

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Engineering Manager, AI Search

8 matching positions

Senior Manager, AI Engineering (People Leader)

At Capital One, we are creating responsible and reliable AI systems, changing ba...
Location
Location
United States , San Jose; San Francisco; New York; Cambridge; McLean
Salary
Salary:
229900.00 - 286200.00 USD / Year
capitalone.com Logo
Capital One
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
  • At least 1 year of people leadership experience
Job Responsibility
Job Responsibility
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability
  • Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies
  • Invent and introduce state-of-the-art LLM optimization techniques to improve the performance of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems
  • Attract and retain top talent in the AI industry and nurture personal and professional development for your team
What we offer
What we offer
  • Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
  • health, financial and other benefits
  • Fulltime
Read More
Arrow Right

Senior Engineering Manager, AI Product (Thunderbolt)

Thunderbolt is an open-source, cross-platform AI product initiative from the tea...
Location
Location
Canada; United States
Salary
Salary:
190000.00 - 240000.00 USD; CAD / Year
mozilla.org Logo
Mozilla
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 15+ years of professional software development experience, including significant experience in senior engineering leadership or complex product delivery roles
  • 5+ years of experience managing technical teams, including senior engineers or senior individual contributors
  • A track record of leading a team that shipped polished, top-tier products held to a genuine standard of craft
  • Strong ability to translate ambiguous product and technical direction into clear plans, ownership models, and delivery momentum
  • Technical fluency with AI-enabled products, including the ability to evaluate tradeoffs across areas such as LLM applications, RAG workflows, agents, enterprise search, automation, on-device AI, or AI evaluation
  • Demonstrated experience delivering complex applications across multiple platforms, such as desktop, web, and mobile, using technologies such as Tauri, Electron, React Native, or comparable frameworks
  • Experience with enterprise software, regulated environments, or similarly complex technical products, including security, privacy, compliance readiness, administration, integrations, and customer-controlled deployment models
  • Practical experience with local-first, offline-capable, self-hosted, hybrid, on-premise, air-gapped, or other customer-controlled product architectures, including tradeoffs related to data storage, sync, privacy, reliability, and user experience
  • Experience improving engineering practices related to technical planning, code review, release readiness, testing, documentation, CI/CD, maintainability, or technical debt management
  • Excellent communication skills around technical prioritization, release risk, ownership, quality expectations, and tradeoffs
Job Responsibility
Job Responsibility
  • Lead engineering execution by clarifying priorities, ownership, timelines, risks, dependencies, and quality expectations
  • Manage engineers and contractors, including coaching, feedback, prioritization, performance support, and team development
  • Stay close to the codebase by contributing code, reviewing technical work, evaluating tradeoffs, and helping the team maintain momentum and quality
  • Partner with technical and product leadership to turn product direction, AI strategy, user experience goals, and technical priorities into coordinated engineering plans
  • Establish planning, review, release, and follow-through practices that improve predictability and reduce bottlenecks
  • Maintain high standards for code quality, testing, documentation, reliability, security awareness, maintainability, and release readiness
  • Build strong product and architectural context across AI-enabled workflows, integrations, local-first or customer-controlled architectures, and release requirements
  • Partner across product, design, enterprise-facing teams, and technical leadership to balance speed, user experience, privacy, quality, enterprise readiness, and long-term sustainability
  • Lead hiring, onboarding, and resource planning as the Thunderbolt engineering team grows
  • Help Thunderbolt scale from an incubation-stage product into a reliable, enterprise-ready open-source AI product
What we offer
What we offer
  • Fully remote work & schedule flexibility
  • Company-provided laptop
  • Annual bonus program
  • Monthly remote work stipend
  • Annual professional development stipend
  • Access to Coursera learning platform
  • Industry conferences
  • Company all-hands and team gatherings
  • 24 days PTO per year (prorated)
  • Your birthday
  • Fulltime
Read More
Arrow Right

Principal Software Engineering Manager - Search

Windows Search is undergoing a fundamental transformation — evolving from a trad...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python. OR equivalent experience.
  • 4+ years of people management experience leading engineering teams.
  • Solid systems programming background with experience in platform/infrastructure-level software development
  • Experience with search/indexing systems, database internals, file systems, or information retrieval at scale.
Job Responsibility
Job Responsibility
  • Owning the technical direction and architecture for the Windows Search Platform from design through retail delivery.
  • Driving the evolution of Search Platform into an AI-native infrastructure layer, enabling Copilot, MCP/LLM integrations, and future agentic discovery patterns while maintaining enterprise-grade reliability and performance.
  • Leading cross-functional partnerships with Products, File Explorer, Windows Search Box and other external partners to drive architectural consensus, scope clarity, and release governance.
  • Establishing and enforcing release discipline and observability as first-class requirements.
  • Defining and driving data-backed engineering decisions across the platform.
  • Leading, mentoring, and growing a team of 7-10 engineers — running effective 1:1s, providing direct feedback, building clear growth paths, and cultivating a culture of engineering rigor, ownership, and speed.
  • Recruiting and retaining top systems engineering talent, with a bias toward people who are curious about and energized by AI-native development and Windows platform internals.
  • Representing your team's work to senior leadership, communicating trade-offs, risks, delivery timelines, and strategic context with clarity and confidence in forums such as Shiproom, Mission Controls, and leadership reviews.
  • Driving program execution across multiple concurrent tracks (8-10 workstreams), including sprint cadence, ADO hygiene, capacity planning, and cross-org alignment.
  • Championing AI-assisted engineering practices — leveraging agentic workflows, automation, and AI tooling to reduce KTLO burden, accelerate delivery, and multiply team velocity.
  • Fulltime
Read More
Arrow Right

Engineering Manager, AI Quality

At Harvey, we’re transforming how legal and professional services operate — not ...
Location
Location
United States , New York
Salary
Salary:
260000.00 - 330000.00 USD / Year
harvey.ai Logo
Harvey
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies
  • Excellent software engineering skills
  • experience working in teams that built and operated production systems
  • Excellent communication skills, both written and verbal
  • Ability to roll up your sleeves and build team, processes, and technology from the ground up
  • A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields
Job Responsibility
Job Responsibility
  • Establish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation
  • Build out core AI quality building blocks that can be reused across different teams and surface areas
  • Own search & retrieval quality, both for AI applications as well as other use cases
  • Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products
  • Work closely with platform engineering to scale our capabilities
What we offer
What we offer
  • Offers Equity
  • Offers Commission
  • Offers Bonus
  • Comprehensive health, dental and vision coverage
  • retirement benefits (401k match up to 4%)
  • flexible PTO
  • Fulltime
Read More
Arrow Right

Engineering Manager, AI Quality

At Harvey, we’re transforming how legal and professional services operate — not ...
Location
Location
United States , San Francisco
Salary
Salary:
260000.00 - 330000.00 USD / Year
harvey.ai Logo
Harvey
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Significant industry experience leading AI or other related quality efforts (search or ads ranking systems, recommender systems, etc) at industry-leading companies
  • Excellent software engineering skills
  • experience working in teams that built and operated production systems
  • Excellent communication skills, both written and verbal
  • Ability to roll up your sleeves and build team, processes, and technology from the ground up
  • A strong academic or professional background in Machine Learning, Generative AI, Information Retrieval or other related fields
Job Responsibility
Job Responsibility
  • Establish an AI & Results Quality Program at Harvey: Establish offline and online eval processes and tools, and a culture of continuous iteration and experimentation
  • Build out core AI quality building blocks that can be reused across different teams and surface areas
  • Own search & retrieval quality, both for AI applications as well as other use cases
  • Work closely with product engineering to continuously improve the quality and capabilities of our AI & search products
  • Work closely with platform engineering to scale our capabilities
What we offer
What we offer
  • Offers Equity
  • Offers Bonus
  • Comprehensive health, dental and vision coverage
  • retirement benefits (401k match up to 4%)
  • flexible PTO
  • Fulltime
Read More
Arrow Right

SEO Manager, Search Intelligence & AI

The SEO Manager, Search Intelligence & AI connects performance data across organ...
Location
Location
United States , Bellevue
Salary
Salary:
75800.00 - 136800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor degree in Business, Marketing, Analytics, or a related field or comparable experience
  • 2-4 years in SEO/SEM, analytics, or search insights roles
  • Hands-on experience with SEO and paid search data sources: analytics platforms, search console, paid search reporting, and competitive intelligence tools
  • Proficiency in SQL or similar data querying languages
  • Ability to translate the team's business needs into clear technical requirements for data and analytics partners, so the reporting and dashboards the program relies on get built accurately
  • Working knowledge of AI search: how generative results work, what drives citation, how GEO differs from traditional SEO, and how to monitor visibility across these surfaces
  • Clear point of view on how AI is reshaping search performance, with the ability to translate that perspective to different audiences, whether that's the SEO team, paid search partners, or stakeholders less close to the work
  • Hands-on experience managing and/or building AI search tracking tools and platforms
  • Strong analytical skills and the judgment to go beyond what the data shows, understanding what it means in the context of the program's strategy and priorities
  • Strong communication skills: able to take complex, multi-source data and explain it simply and clearly to a range of audiences
Job Responsibility
Job Responsibility
  • Be the team's go-to person on AI-driven search, staying ahead of developments in AI Overviews, Generative Engine Optimization (GEO), LLM-powered results, and how these surfaces affect T-Mobile's visibility
  • Monitor how T-Mobile appears across AI search, tracking citation patterns, AI-generated results, and LLM outputs, and identifying what's driving visibility for T-Mobile and its competitors – and where there is opportunity to expand
  • Connect AI visibility signals to broader organic and paid search performance, giving the team a complete view of how T-Mobile shows up across the full search landscape
  • Identify emerging AI search opportunities and help the team understand how SEO and paid search efforts can be optimized for AI surfaces
  • Help build and maintain the Search program's performance reporting across organic, paid, and AI channels, ensuring the team works from a single, accurate, and consistent view of how search is performing
  • Help maintain the shared measurement framework that keeps organic and paid search aligned on definitions, metrics, and how performance is communicated across the program
  • Partner with data and analytics teams to translate the Search team's business needs into clear requirements for the reports and dashboards the program depends on, ensuring outputs are accurate and useful
  • Track competitive search performance, market demand, and SERP dynamics across T-Mobile's key business lines, surfacing the shifts that should inform strategy and performance reporting
  • Synthesize data from across organic, paid, and AI search into clear, connected analysis the program and its stakeholders can act on
  • Help build performance narratives the Search Lead shares with leadership, simplifying what's happening, why it matters, and what the team should do about it
What we offer
What we offer
  • Medical, dental and vision insurance
  • Flexible spending account
  • 401(k)
  • Employee stock grants
  • Employee stock purchase plan
  • Paid time off
  • Up to 12 paid holidays
  • Paid parental and family leave
  • Family building benefits
  • Back-up care
  • Fulltime
Read More
Arrow Right

Senior Manager, Search Platforms & AI

Seeking world-class talent to join the world’s leading distributor of automotive...
Location
Location
United States , Atlanta
Salary
Salary:
Not provided
genpt.com Logo
Genuine Parts Company
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Degree in computer science/engineering or equivalent experience
  • 10+ years’ experience in software engineering delivery (including 3+ years in leadership role)
  • Consistent track record of leadership, teamwork, and delivering high impact results
  • Extensive experience building enterprise grade systems/applications supporting business priorities
  • Experience managing 25+ FTE team of internal and extended delivery resources
  • Experience in leading leaders
  • Ability to effectively share technical information, communicate technical issues and solutions to all levels of business
  • Ability to attract, motivate and retain world-class IT talent
  • Able to juggle multiple projects - can identify primary and secondary objectives, prioritize time, and communicate timeline to team members
  • Experience in understanding of Information Retrieval, Search Relevance, Ranking Systems, Recommendations, and Personalization
Job Responsibility
Job Responsibility
  • Partner with Product and cross-functional GPC teams to define and execute a vision for AI-powered search that improves conversion, revenue, and customer productivity
  • Implement the technology platforms architecture and execute on roadmap to support build out the new commerce related capabilities needed for the unified commerce strategy
  • Lead the engineering teams responsible for search platform architecture, scalability, reliability, and performance
  • Drive modernization of search infrastructure leveraging cloud-native and AI-enabled technologies
  • Build and scale Search Science capabilities including relevance tuning, ranking models, semantic search, vector search, recommendations, and personalization
  • Responsible for delivery and support of the platform
  • Lead multiple pods and manage engineering managers
  • Partner with peer leaders to accelerate and embed agile methodologies across the organization to increase customer-backed problem solving, to increase pace of solution delivery, to accelerate innovation and to enhance cross-functional collaboration
  • Recruit, manage, and motivate a team of engineers and Engineering managers to develop best-in-class solutions
  • Other duties as assigned
What we offer
What we offer
  • Flexible Working Schedules
  • Wellbeing Programs
  • Learning Opportunities
  • Community Engagement
  • Paid Parental Leave
  • Pet Insurance
  • Fulltime
Read More
Arrow Right

Manager, Software Engineering - Search & Recommendations

Figma is growing our team of passionate creatives and builders on a mission to m...
Location
Location
United States , San Francisco, CA; New York, NY
Salary
Salary:
258000.00 - 376000.00 USD / Year
figma.com Logo
Figma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of engineering management experience leading high-performing, fast-moving teams, ideally in the AI space
  • 8+ years of total engineering experience, ideally reaching a staff engineering level as an individual contributor
  • Prior experience building search, recommendation, or AI systems as an engineering manager or individual contributor
  • A proven track record of motivating, mentoring, and guiding experienced AI engineering leads
Job Responsibility
Job Responsibility
  • Support a team of engineers with skillsets ranging from infrastructure to model development, including hiring and career development
  • Partner with our product engineering, infrastructure, data science, and product management teams to deliver cutting-edge Figma AI features
  • Own the team’s technical strategy, roadmap, and goals
  • Roll up your sleeves as needed to get involved with the technical details and improve execution efficiency
  • Grow your career within an engaged and creative engineering community
  • Build an inclusive, diverse team and culture through hiring, community events, and programs in partnership with teams across Figma
What we offer
What we offer
  • Equity to employees
  • Health, dental & vision
  • Retirement with company contribution
  • Parental leave & reproductive or family planning support
  • Mental health & wellness benefits
  • Generous PTO
  • Company recharge days
  • Learning & development stipend
  • Work from home stipend
  • Cell phone reimbursement
  • Fulltime
Read More
Arrow Right