Forward Deployed Engineer - Strategic Account
Other Requirements:
Legally authorized to work in the United States
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Find the latest job opportunities in AI and tech
Has Salary
Other Requirements:
Legally authorized to work in the United States
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Benefits:
100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company-paid short-term, long-term and life insurance coverage
Education Requirements:
LL.B. or equivalent law degree from a top-tier university
Experience Requirements:
4-9 years of experience post internship/trainee program, practicing tech commercial and privacy law at both a leading law firm and as in-house counsel at a tech company
Strong experience drafting and negotiating complex commercial and technology agreements, particularly Fortune 500 customer-facing contracts under pressure
Experience in SaaS AI companies
Experience with global privacy regulations (such as GDPR, CPRA, and U.S. state privacy laws)
Experience with U.S. copyright and intellectual property laws
Other Requirements:
Bar admission in the U.S., EU, or Israel
Attention to details and ability to work accurately under time pressure
Familiarity with global AI regulations
Familiarity with data purchasing agreements
Responsibilities:
Own the drafting, review, and negotiation of a wide range of customer-facing and commercial agreements
Act as the primary legal partner for Go-to-Market teams, providing practical, business-oriented advice throughout customer negotiations
Support and enhance Tavily’s privacy and data protection program, ensuring compliance with applicable regulations such as GDPR, CCPA, and other global standards
Review and negotiate DPAs and provide ongoing legal guidance on privacy matters
Drive complex, cross-border, and strategically important transactions involving multiple internal and external stakeholders
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Education Requirements:
Degree in computer science, engineering, or a related field
Experience Requirements:
5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure
Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration
Other Requirements:
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows
Comfortable operating in ambiguity
Proven ability to influence cross-functional stakeholders and drive alignment without formal authority
Excellent written and verbal communication
Responsibilities:
Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality
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Experience Requirements:
5+ years of product management experience, with a meaningful portion spent on high-scale search or ranking systems: web search, feed ranking at a large social platform, or a large ad engine
A background as an engineer, ML engineer, or researcher on a production system in one of those areas
Direct experience shipping a search or ranking change end to end, including how it was evaluated and what happened after it shipped
Other Requirements:
A strong data foundation: can design an experiment, read eval results critically, and tell a real quality improvement from noise
Product judgment to match technical depth
Strong understanding of LLMs, AI agents, and how retrieval fits into agentic workflows
Comfort with ambiguity, moving between strategy and execution without losing the thread
Ability to influence and align cross-functional stakeholders without formal authority
Responsibilities:
Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships
Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible
Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet
Build a point of view on where search infrastructure is going as agents become the main consumer, and turn that into a roadmap
Know how we compare to alternatives and drive the work that closes gaps that matter
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Education Requirements:
Technical background through a degree in computer science or engineering or equivalent hands-on experience
Experience Requirements:
5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products
Experience building products for a specific industry or use case, combined with technical depth to work on underlying data
A track record of real customer discovery
Experience in API-first or developer-platform businesses
Other Requirements:
Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows
Ability to influence and align cross-functional stakeholders without formal authority
Responsibilities:
Own the vertical roadmap: decide where to invest, what to ship, and when a vertical is not worth it
Shape the product surface on top of the data, so customers get something built for their job
Find and evaluate the data behind each vertical across public sources and paid providers
Sit with customers in target industries until you understand their workflow, then turn that into specs engineering can build
Set what a good answer looks like in each use case, working with the evaluation team
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Experience Requirements:
3–7 years of B2B SaaS or technology sales experience, ideally selling to commercial or mid-market customers
Experience selling SaaS to technical audiences is a must
Working knowledge of MEDDPICC (or a similar qualification methodology) is a must
Proven ability to meet or exceed quota and manage a full sales cycle
Other Requirements:
Strong prospecting and pipeline generation skills
Ability to clearly communicate the value of a technical product to both technical and business stakeholders
Strong organizational, communication, and negotiation skills
Self-starter mindset who isn't afraid to roll up their sleeves
Responsibilities:
Own the full sales cycle from prospecting through close across your commercial UK territory
Identify and develop new opportunities through outbound outreach, inbound leads, and partnerships
Build relationships with technical buyers, product leaders, and business decision-makers
Lead discovery conversations and demonstrate how Tavily's platform can solve customer problems
Apply MEDDPICC to qualify opportunities and manage a disciplined, accurate pipeline
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Benefits:
100% company-paid medical, dental and vision coverage for employees and families
401(k) plan up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company-paid short-term, long-term and life insurance coverage
Experience Requirements:
3+ years of software engineering experience, ideally in a partner-facing, developer-facing, or customer-facing technical role
Strong hands-on engineering ability, especially with Python, APIs, SDKs, backend systems, and developer-facing integrations
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and AI application frameworks
Experience with at least one major agent or LLM orchestration framework, such as LangChain, LlamaIndex, LangGraph, OpenAI Agents SDK, CrewAI
Other Requirements:
Deep interest in the AI ecosystem and strong familiarity with the modern agent stack
Strong product intuition and ability to design integrations that are technically sound and easy to use
Excellent written and verbal communication skills across engineering, product, partner, and developer audiences
Ability to create clear technical content, including documentation, tutorials, example apps, demos, and reference architectures
Based in New York City, or willing to relocate
Responsibilities:
Work directly with ecosystem partners, including model providers, agent frameworks, orchestration platforms, AI developer tools, ISVs, and infrastructure companies
Design, build, and maintain high-quality integrations that make Tavily easy to adopt across the modern AI and agent stack
Create reference implementations, example applications, SDK examples, retrieval pipelines, agent workflows, demos, and technical templates
Collaborate with partner engineering and product teams on integration design, technical tradeoffs, launch plans, and adoption goals
Support technical partner conversations from early exploration through integration launch, developer adoption, and ongoing iteration
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Experience Requirements:
5+ years of software engineering experience, ideally in a customer-facing technical role
Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
Other Requirements:
Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
Ability to communicate clearly with both technical and executive stakeholders
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
Excellent written and verbal communication skills
Based in New York City, or willing to relocate
Responsibilities:
Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements
Lead technical discovery and solution design during pre-sales and expansion conversations
Scope, build, and deliver proofs of concept that demonstrate clear business and technical value
Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and GenAI apps
Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production
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Experience Requirements:
3+ years of software engineering experience, ideally in a customer-facing technical role
Strong hands-on engineering ability, especially with Python, APIs, backend systems, and production software development
Experience building with LLMs, Retrieval-Augmented Generation, agent architectures, context engineering, and modern AI application stacks
Experience working with enterprise customers, including technical discovery, POCs, solution design, stakeholder management, and production rollout
Other Requirements:
Strong understanding of how enterprises evaluate, deploy, secure, and scale AI systems
Ability to communicate clearly with both technical and executive stakeholders
High autonomy, strong ownership, and comfort operating in a fast-moving startup environment
Excellent written and verbal communication skills
Based in New York City, or willing to relocate
Responsibilities:
Work directly with enterprise customers to understand their AI use cases, technical architecture, success criteria, and deployment requirements
Lead technical discovery and solution design during pre-sales and expansion conversations
Scope, build, and deliver proofs of concept that demonstrate clear business and technical value
Design and implement production-ready integrations using Tavily’s API, including RAG pipelines, agent workflows, internal tools, and GenAI applications
Partner with customer engineering, data, product, and AI teams to move use cases from prototype to production
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Benefits:
100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company-paid short-term, long-term and life insurance coverage
Experience Requirements:
5-8 years in a DevOps or SRE role, working in production environments
Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
Strong Kubernetes experience in a managed cloud environment
Proficiency with infrastructure as code (Terraform or similar)
Experience with GitOps-based deployment workflows
Other Requirements:
Built or maintained observability stacks (logging, metrics, alerting)
Experience handling production incidents calmly and methodically
Responsibilities:
Managing Kubernetes clusters across multiple environments and regions
Owning infrastructure as code for all resources
Maintaining and improving CI/CD pipelines and GitOps-based deployments
Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
Building out monitoring, alerting, and observability
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Benefits:
100% company-paid medical, dental, and vision coverage for employees and families
401(k) plan up to 4% company match with immediate vesting
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers
Remote work reimbursement up to $85/month for mobile and internet
Company-paid short-term, long-term and life insurance coverage
Experience Requirements:
6+ years building production backend systems, of which 3+ years actively building and operating billing or metering systems in production
Hands-on experience with usage-based / metered billing: rating, aggregation, and proration logic
Hands-on experience with subscription / recurring billing alongside usage-based models
End-to-end integration of a third-party billing platform (Stripe Billing, Metronome, Orb, or Zuora)
Production experience with transactional databases (Postgres or equivalent) for financial-grade data
Other Requirements:
Strong expertise in Python and TypeScript/Node (Go a plus)
Built high-volume event / usage pipelines into a data warehouse
Product-Led Growth (PLG) experience
Hands-on with Auth0, Okta, or similar identity systems in production
Shipped revenue systems under SOX or financial audit constraints
Responsibilities:
Design and operate the billing platform end to end, from usage events to invoices
Build metering and usage-aggregation pipelines that turn high-volume events into billable amounts
Design and operate prepaid credit/wallet systems with auto top-up and balance management
Support enterprise/contract billing with custom pricing, negotiated terms, and scheduled invoicing
Build reconciliation, idempotency, and invoice-accuracy safeguards to ensure revenue data is always correct
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Benefits:
Competitive base pay ($140,000 - $165,000)
Meaningful equity in a fast-growing company (stock options)
Generous medical, dental & vision plans
Flexible PTO
$1,200 Home Office & Equipment Stipend
Education Requirements:
Technical degree in Computer Science, Engineering, or a related field (Preferred)
Experience Requirements:
4+ years of experience or equivalent expertise in technical program management, leading complex technology programs from planning through delivery
Previous experience in infrastructure-focused organizations, with exposure to capacity planning, data center operations, or vendor/partner management
Proven track record of partnering with 3+ cross-functional teams to deliver high-impact programs from planning through launch
Proven track record of working with external infrastructure or hardware vendors globally
Strong technical background in engineering and scalable SaaS/IaaS products or services
Other Requirements:
Strong quantitative and analytical skills
Deep understanding of the software development lifecycle (SDLC)
Highly organized and detail-oriented
Exceptional verbal and written communication skills
Authorized to work in the United States without visa sponsorship
Responsibilities:
Partner with Data Center Management and Host/Supply teams to run the capacity and utilization review cadence that feeds Supply's input into the product roadmap
Own the relationship and escalation path with host and infrastructure partners
Translate capacity and utilization data into concrete tradeoffs: where to add supply, where to consolidate, and how each option nets out on cost and reliability
Build and drive project plans across Engineering, Product, and Supply stakeholders
Act as the primary point of contact across teams, spotting risks and keeping stakeholders aligned
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Benefits:
Competitive base pay (175,000- 220,000 usd)
Meaningful equity in a fast-growing company (stock options)
Flexible PTO
Remote work first environment
$1,200 Home Office & Equipment Stipend
Experience Requirements:
5+ years of professional software engineering experience, with at least 3 years focused on data engineering in modern cloud environments
Strong Python and advanced SQL, applied with an engineer's discipline
Hands-on depth in a modern MPP/OLAP warehouse or query engine, including the internals (Snowflake preferred)
Experience building and operating orchestrated pipelines (Dagster, Airflow, or similar) and analytics engineering with dbt or equivalent
Track record of owning systems in production: monitoring, incident response, and follow-through
Other Requirements:
Demonstrated ability to use AI tools to improve the speed and quality of work
Excellent written communication
Authorized to work in the United States without visa sponsorship
Responsibilities:
Own the design, implementation, and operation of data pipelines end to end across Snowflake, dbt, and orchestration tools
Build well-documented, high-quality data products that analytics, finance, and engineering teams rely on
Treat data quality and observability as part of every deliverable
Diagnose and optimize warehouse cost and performance across query profiles, clustering, and warehouse sizing
Manage infrastructure as code (Terraform for AWS and Snowflake)
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Benefits:
Competitive base pay ($150,000 - $200,000)
Meaningful equity in a fast-growing company (stock options)
Generous medical, dental & vision plans
Flexible PTO
$1,200 Home Office & Equipment Stipend
Experience Requirements:
Experience in developer relations, developer advocacy, community, solutions engineering, customer success, or another customer-facing technical role
Experience speaking at meetups or developer events (Preferred)
Familiarity with AI libraries and frameworks, agent frameworks, or ML infrastructure and GPU workloads (Preferred)
Other Requirements:
Ability to regularly attend events and conferences in person
Able to speak publicly on behalf of a developer facing product
Technically credible to build and demo real things on the platform
A strong written voice
Successful completion of a background check
Responsibilities:
Produce demos, technical blog posts, videos, and webinars on a consistent cadence
Deliver talks at developer and AI developer conferences, and build relationships with organizers and attendees
Build tooling, extensions, and plugins that improve the developer experience on Runpod
Design and run programs that scale core pillars: content, events, and community
Show up consistently where developers are, build genuine relationships, and surface insights to Product
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Benefits:
meaningful equity
401K offering
benefits
Experience Requirements:
3+ years
~2-4 years at MBB, a top VC, or an equivalent high-bar analytical environment
Other Requirements:
US citizen/visa only
AI-native: AI tools are your default for drafting, analysis, and automation, and you constantly push what they can do (required, not preferred)
Financially fluent: models, unit economics, and investor-grade materials come naturally
Sound judgment with sensitive company, customer, and personnel information
Genuinely curious about payments, risk, and AI; you will build domain depth fast
Responsibilities:
Own the operating dashboard (ARR, pipeline, retention, burn). Build board decks, investor updates, and financial models that hold up to scrutiny.
Own product marketing, field marketing, and growth: positioning, launches, events, and pipeline-generating campaigns.
Run the operating cadence: leadership meetings, goals, all-hands, and decision follow-through. Drive recruiting for priority roles from pipeline to close.
Quarterback initiatives that cut across product, sales, and compliance; support partnership work with banks and card networks.
Build AI into every workflow you touch: research, models, decks, campaigns, and operations.
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Benefits:
Stock options granted after probation period
Flexible hours (core hours 11am to 5pm)
Work from home once a week (starting one month after joining)
Regular health check-ups at a top hospital-grade screening center
AI tools covered, with no spending cap
Experience Requirements:
I have made real impact before.
I was the fastest executor in any team or group I belonged to.
Content I made has earned a real response from people.
I have built something that does my work for me with an AI tool like Claude Code.
Other Requirements:
I speak and write English fluently.
I analyze problems and make decisions with numbers and logic.
Responsibilities:
Building, testing and scaling a short-form micro-influencer marketing strategy for English-speaking markets
Running the in-product ambassador program and growing the loop where users bring in users
Finding other channels and messages that bring in users from English-speaking markets, and turning one-off wins into repeatable systems
Owning the whole loop of strategy, planning, execution and retrospectives that accelerates global expansion
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Benefits:
Elevated Compensation: Top-of-market pay (50% higher than typical senior design roles).
Industry Leadership: Become a pioneer in the design engineering space with a platform that’s reshaping how products are built.
Visibility: An opportunity to become the outward-facing design leader for a YC-backed startup.
Impact: Direct influence on customer-facing experiences at a company scaling globally.
Culture: Work in a collaborative, fast-moving, and innovation-driven environment.
Experience Requirements:
5+ years in product design with direct impact at venture-backed startups.
Other Requirements:
Evidence of world-class design execution on complex software applications.
Design Engineer Mindset: Not just a designer—someone who thrives at the cross-section of UI, UX, and code.
Proficiency in Figma, but willingness to transfer those skills into the Tempo Environment.
Clear, bold, and able to articulate decisions to both executives and engineers. English C1 or better is required.
Active in the design community with a notable social following or public-facing presence (conference speaking, blogging, content creation).
Responsibilities:
Own the design vision for Agent+ engagements with high-profile clients who demand exceptional UI/UX.
Pioneer workflows that merge design and code, creating user-centric solutions that redefine industry standards.
Advocate for design engineering internally and externally; candidates with strong social media presence and thought leadership will be prioritized.
Partner with founders, clients, and engineers to translate complex requirements into seamless design systems.
Conduct research, prototype, and test iteratively to ensure elegant, intuitive outcomes.
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Benefits:
The opportunity to be part of an innovative, fast-growing startup.
A collaborative, flexible, and supportive work environment.
Experience Requirements:
Proven experience in product design, particularly in tech or startup environments.
Other Requirements:
Strong portfolio showcasing UI/UX design skills, with an emphasis on designing complex software applications.
Proficiency in Sketch, Figma, Adobe XD, or similar.
Excellent understanding of user-centered design principles and methodologies.
Strong communication and collaboration skills, with the ability to articulate design decisions and iterate based on feedback.
Familiarity with front-end development (HTML, CSS, JavaScript) is a plus.
Responsibilities:
Lead the design of user interfaces and user experiences for our AI-powered visual IDE.
Collaborate with founders, clients, and engineers to understand requirements and transform ideas into elegant design solutions.
Conduct user research and usability testing to gather insights and validate design decisions.
Create wireframes, prototypes, and high-fidelity designs using modern design tools.
Advocate for design best practices, ensuring a consistent and intuitive user experience across our platform.
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Other Requirements:
A strong eye for pacing, rhythm, story, and visual taste
Comfortable with After Effects, Premiere, Photoshop, or similar tools
Access to a Mac, to edit Screen Studio videos (which our team records with)
Fast with new tools, especially AI, motion, and design tools
Fluent English, written and spoken
Responsibilities:
Own videos from idea to final cut
Turn raw footage, screen recordings, streams, and interviews into short-form content
Create edits for social, launches, product moments, and ads
Move fast from rough cut to feedback to final delivery
Add motion, polish, pacing, music, captions, and structure
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Benefits:
AI FIRST: AI is the default stack: models, Agent, and Open Skill for everyone. Daily work starts with AI.
World-class talent: Work with the strongest people worldwide. Overlap on core hours; location is open.
Competitive compensation: Competitive cash and equity, set by level and impact. Early-stage ownership actually means something.
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