AI Jobs

Experience Requirements:

• 2+ years of professional software engineering experience

• Strong backend development skills (Python, Go, C++)

• Designing and operating high-throughput, low-latency infrastructure

• Hands-on expertise with AWS infrastructure

• Experience with performance optimization

Other Requirements:

• Comfortable in a fast-paced startup environment

• Curiosity about LLMs and the future of AI

• Familiarity with Kubernetes orchestration

Responsibilities:

• Build systems for real-time LLM workflows

• Design and implement backend infrastructure

• Iterate on features with the product team

• Improve performance, monitoring, and reliability

• Shape a strong engineering culture

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 5+ years in technical, customer-facing roles

• Experience with developer tools or AI/LLM platforms

• Experience managing renewal cycles and forecasting

• Experience using CRM tools like HubSpot or Salesforce

Other Requirements:

• Outstanding communication and presentation skills

• Deep empathy for customer outcomes

• Self-driven and able to thrive in ambiguous environments

• Familiarity with LangChain (Bonus)

Responsibilities:

• Act as a technical and commercial advisor

• Lead onboarding engagements

• Develop and deliver scalable onboarding materials

• Monitor customer health and usage metrics

• Drive renewals and expansion

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1–2 years of Sales, SDR, Analytics or Computer Science experience

• Open to exceptional entry-level candidates

Other Requirements:

• Resilient and energized by building relationships

• Genuinely curious about AI

• Ability to balance high-volume outreach with experimentation

Responsibilities:

• Follow up with inbound and outbound prospects

• Build a deep understanding of Tavily’s ICP

• Qualify opportunities and book meetings

• Provide structured feedback to help improve the product

Benefits:

• Young, open, and inclusive culture

• Chance to build at the forefront of agentic AI

• Daily team lunches

• Comprehensive medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1–2 years of Sales, SDR, Analytics or Computer Science experience

• Open to exceptional entry-level candidates

Other Requirements:

• In NYC and excited about an in-person office environment

• Resilient and energized by building relationships

• Genuinely curious about AI

Responsibilities:

• Follow up with inbound and outbound prospects

• Build a deep understanding of Tavily’s ICP

• Qualify opportunities and book meetings

• Provide structured feedback on signals and workflows

Benefits:

• Young, open, and inclusive culture

• Opportunity to build at the forefront of AI

• Meal stipend

• Full medical, dental, and vision insurance

• Deep-work culture

Experience Requirements:

• 1-3+ years of experience in an EA, operations, or similar role

• Experience working with founders (Nice to Have)

• Startup or tech environment experience (Nice to Have)

Other Requirements:

• High level of discretion, ownership, and attention to detail

• High level of availability and flexibility

• Excellent written and verbal communication

Responsibilities:

• Partner closely with the CEO on priorities

• Manage complex scheduling and meetings

• Support planning and preparation across leadership activities

• Act as a point of contact for stakeholders

• Keep priorities organized in a fast-paced environment

Benefits:

• Young, open, and inclusive culture

• Opportunity to build at the forefront of AI

• Daily team lunches

• Deep-work culture

Education Requirements:

• LL.B. or equivalent law degree from a top-tier university

• Bar admission in the U.S., EU or Israel

Experience Requirements:

• 3 to 6 years experience post internship

• Experience at both leading law firm and as in-house counsel

• Drafting and negotiating technology commercial agreements

• Experience with global privacy regulations (GDPR, CPRA)

• Experience with U.S. copyright and intellectual property laws

Other Requirements:

• Exceptional attention to details

• Familiarity with global AI regulations (Advantage)

• Experience in corporate or employment law (Advantage)

Responsibilities:

• Draft and negotiate commercial agreements

• Support and enhance privacy and data protection program

• Review and negotiate DPAs

• Partner with Product and R&D on legal needs

• Draft employment-related documents

Other Requirements:

• Link to portfolio required

• Consent to the recording of meetings and transcription during interactions

• Consent to qualifications and skills assessment for this and future roles

Benefits:

• Competitive salary

• Hybrid work schedule

• Clear growth path into Customer Success, Operations, or Account Management

• Health insurance

• Dental insurance

Experience Requirements:

• 2–3 years of experience in a customer service, support, or client-facing role

• Familiarity with customer support tools, ticketing systems, or CRMs

• Experience working with SaaS applications, marketplace, or online platform environment is a plus

Other Requirements:

• Strong written and verbal communication skills

• Organized, detail-oriented, and reliable

• Comfortable multitasking in a fast-paced environment

• Ability to follow processes while learning when to escalate issues

Responsibilities:

• Respond to customer inquiries and support requests in a timely and professional manner

• Assist the Customer Success Manager with resolving customer issues

• Track and document customer issues, feedback, and resolutions

• Escalate technical or complex issues to the appropriate internal teams

• Help monitor customer feedback and flag recurring issues or trends

Experience Requirements:

• 7–12 years of experience in operations

• 3+ years in a senior-level or team lead capacity

• Background in SaaS, digital marketplaces, or high-volume transactional platforms

• Proven success managing cross-functional ops

• Familiarity with tools like Intercom, Stripe, ClickUp, or equivalent systems

Other Requirements:

• Experience with selling products or software directly to customers online

• Excellent judgment in fast-paced, high-stakes operational decisions

• Analytical mindset with comfort in process design, automation, and continuous improvement

Responsibilities:

• Oversee Daily Marketplace Operations

• Manage and Optimize Support Systems

• Coordinate Digital Product Delivery

• Collaborate with Product & Engineering

• Monitor Risk, Fraud, and Compliance

Benefits:

• Competitive salary

• Startup equity & extended exercise window

• Private healthcare plans

• 25 days annual leave

• Home office setup

Experience Requirements:

• 1-3 years of development experience

• Strong foundation in at least one programming language (Python, JavaScript, or similar)

• Experience with web development frameworks

• Basic understanding of APIs and database systems

• Interest in AI/ML technologies

Other Requirements:

• Startup mentality - scrappy, adaptable, and eager to learn

• Strong problem-solving skills

• Excellent communication and collaboration abilities

• Passion for building products that solve real problems

• Experience with customer-facing applications (preferred)

Responsibilities:

• Build and enhance features across our AI platform, from chat interfaces to backend integrations

• Develop connections with communication platforms like WhatsApp, Messenger, and email systems

• Assist with implementing and optimizing our Relationship Language Model

• Write tests and ensure code quality across our rapidly growing codebase

• Work on features that directly improve customer experience and business outcomes

Benefits:

• Competitive compensation

• benefits

• career development opportunities.

• Opportunity to make an impact and grow your career in a high-growth SaaS environment

• Remote role with occasional travel

Experience Requirements:

• Proven success in partner account management with enterprise SaaS and managed services

• Skilled in solution selling and delivering executive-level presentations with a dynamic presence.

• Ability to design and execute detailed relationship plans across large sales organizations.

• Strong collaboration skills and experience working cross-functionally.

• Proficiency with Microsoft 365, Salesforce CRM, and analytics tools.

Other Requirements:

• Highly organized and effective in a fast-paced, results-driven environment.

• Experience working with TELUS, Rogers, Bell or global carriers (e.g., AT&T).

• TEM/mobility lifecycle domain knowledge; ServiceNow/Workday familiarity; FinOps exposure

• Bilingual (EN/FR) a plus.

Responsibilities:

• Engage with partner sales teams and solution experts at Rogers, Bell, TELUS, and other strategic partners to drive joint go-to-market success.

• Generate highly qualified new opportunities through proactive collaboration and strategic planning.

• Partner with Enterprise sales professionals and solution experts to deliver compelling solutions and close business.

Education Requirements:

• CS, Math, or Engineering degree or equivalent experience

Experience Requirements:

• Quality experience building production AI/ML systems—deploying models at scale, ideally in complex, data-intensive domains

• Deep experience with modern agent frameworks, LLMs, and AI systems: fine-tuning, retrieval augmentation, tool use, or agentic architectures

• Comfort working end-to-end: from implementing research ideas and prototyping architectures to deploying production systems and iterating on real customer feedback

• Ability to move between abstraction levels—designing high-level agent workflows while debugging low-level implementation details

Other Requirements:

• Strong algorithmic thinking. Demonstrated through ML research, competitive programming, mathematics, or building novel systems from scratch

Responsibilities:

• Design and implement agent architectures that enable observability, human-in-the-loop verification, and precise context control across complex financial workflows

• Build library learning systems that reduce LLM dependencies by learning reusable patterns for planning, code generation, and data localization from customer interactions

• Create graph-based company representations and develop efficient search methods using embeddings, semantic clustering, and custom retrieval strategies

• Build multi-modal parsers that unify diverse financial data sources (Excel, ERPs, CRMs) into coherent, queryable schemas that agents can reason over

• Implement RL and fine-tuning pipelines based on user feedback, pairwise preferences, and implicit interaction signals to improve agent performance over time

Education Requirements:

• CS degree or equivalent experience

Experience Requirements:

• Quality experience building production infrastructure for high-throughput, performance-critical workloads

• Deep experience with data + database systems: internals, optimization, scalable schema design, and modeling complex domains

• Strong systems instincts—distributed systems, concurrency, fault tolerance, and performance tuning

• Experience running cloud infra in production with modern tooling + strong observability habits

• Comfort spanning layers: storage compute APIs deployment

Responsibilities:

• Build highly concurrent systems that process thousands of user requests simultaneously while scheduling and optimizing response times across multiple model endpoints

• Design and implement core database architecture to handle complex enterprise data models and our novel company representations at scale

• Create efficient ETL pipelines and integration layers that transform diverse financial data sources (ERPs, CRMs, Excel) into unified, queryable schemas

• Develop robust caching strategies, data access patterns, and middleware solutions to ensure fast, reliable data delivery between frontend and agent infrastructure

• Build monitoring, observability, and debugging systems to maintain performance and reliability as we scale to larger enterprises

Experience Requirements:

• 3–6 years in customer success, implementations, consulting, or strategic account management

• Strong written and verbal communication across all levels of an organization

• Proven success managing complex projects with multiple stakeholders

• Interest in finance, operations, and AI-driven transformation

Responsibilities:

• Lead customer onboarding and end-to-end deployment execution

• Maintain day-to-day relationships with operators and executives

• Drive adoption across workflows and ensure customers realize measurable value

• Build dashboards and success metrics to showcase outcomes

• Identify expansion opportunities and help craft account strategies

Experience Requirements:

• 2–4 years in investment banking, private equity, management consulting, or similarly analytical/finance-heavy roles

• Strong grounding in financial statements, corporate finance, and operating metrics; excellent analytical/quant skills

• Customer-facing presence—comfortable with CFOs, controllers, and finance teams

• Project/process ownership from end to end with high attention to detail

• Clear, crisp communication—you can craft compelling decks and narratives for internal, investor, and customer audiences

Responsibilities:

• Enable our GTM motion. Design and run lightweight, high-signal processes; manage inbound and qualify leads; run targeted outbound to CFOs and controllers; maintain pipeline hygiene; create sales assets that tell the right story

• Drive customer deployments & success. Facilitate early customer conversations, coordinate pilots, and ensure smooth deployments that demonstrate ROI

• Own cross-functional ops. Stand up and streamline core workflows so information flows and nothing falls through the cracks

• Instrument the business. Define, track, and report KPIs; build dashboards covering company performance, deployments, and operational health

• Support strategic initiatives & comms. Partner with leadership on internal presentations, investor updates, customer-facing materials, and special projects

Benefits:

• Base Salary

• Bonus

• Equity

• Fair and competitive pay

Experience Requirements:

• 1–3 years of experience in sales support, consultancy or financial services, business development, or operations

Other Requirements:

• Must be based in London, England

• Expectation of being in the office at least 4 days per week

• Exceptional organizational and communication skills

• Proficiency in tools like Salesforce, Google Workspace, and ChatGPT

• A long-term interest in sales, client strategy or operations

Responsibilities:

• Support sales meetings end-to-end: Manage pre-meeting research, create proposals & pitchdecks and post-meeting follow-ups.

• Coordinate business development efforts: Schedule outreach campaigns and track progress for target accounts.

• Manage sales process logistics: Handle NDA coordination, internal stakeholder management, and proposal reviews.

• Own event planning and execution, including roadshows, advisor roundtables, and AI learning events.

• Run operational updates and internal comms: Maintain Salesforce hygiene and support newsletter aggregation.

Benefits:

• Remote-first, async work culture in a high-trust environment with lots of autonomy.

• Unlimited PTO

• High impact and visibility

• Equity ownership in a fast-growing and high-visibility startup

• Hands-on experience with unreleased technology and hardware before it hits the market.

Experience Requirements:

• At least 3-4 years of relevant experience.

• Expert-level understanding of NodeJS with additional experience in React, React Native, and Electron (ideally for at least 3 years).

Other Requirements:

• Must be a legal US resident; no visa sponsorship offered.

• Understand the jargon and fundamentals of running AI models on devices and be aware of their underlying functionality, tooling, and concepts.

• Hands-on experience with modern developer practices and tooling (CI/CD, Git, AWS, CloudFlare, etc)

Responsibilities:

• Design, develop, and deploy scalable features for our Open-Source, Desktop, and mobile experiences

• Collaborate with product, design, and internal teams to build user-centric applications powered entirely with off-the-shelf on-device models.

• Build bespoke and sleek end-user experiences that leverage local compute for AI workloads currently unseen in the market.

• Write clean, maintainable code and participate in code reviews, both for internal and public-facing projects

• Automate documentation, processes, and systems to facilitate knowledge sharing within the team

Benefits:

• Distributed and fully remote culture

• Remote work budget for your setup and laptop

• Unlimited vacation with 3-weeks required vacation

• 99% coverage for Health Care, Dental, and Vision

• Unlimited mental or physical health leave

Education Requirements:

• PhD or equivalent Master's Degree plus 1+ years of experience in CS, CE, ML or related field

Experience Requirements:

• 1+ years of experience of building machine learning models for business application

Other Requirements:

• Experience programming in Python

Responsibilities:

• Participate in the design, development, evaluation, deployment and updating of data-driven models in machine learning

• Develop and/or apply statistical modelling techniques (e.g. Bayesian models, deep neural networks), optimization methods, and other ML techniques to different applications in scraping

• Play a key role in developing tools and abstractions that our other developers would build on top of

• Leverage billions of data points and large-scale computing resources to accelerate advances in language classification

Benefits:

• Remote-first company, allows employees to work from anywhere in the U.S.

• Work with a world-class team of AI engineers, computational physicists, and industry experts

• Lead the next frontier of AI adoption in the Energy industry

• Solving high-value challenges that impact the future of energy

Experience Requirements:

• 3+ years of ML engineering experience, preferably in a production setting.

• Expertise in Python, TensorFlow or PyTorch, NumPy/SciPy, and FastAPI.

• Experience building and managing ML pipelines using CI/CD, Git, and Docker.

• Strong understanding of neural networks, optimization algorithms, and model performance tuning.

• Familiarity with physics-informed ML, surrogate modeling, or simulation-based learning.

Other Requirements:

• U.S. work authorization required

• Experience in modeling physical processes (e.g., numerical simulations, physics-informed AI, digital twins) is a plus.

Responsibilities:

• Design, refactor and optimize ML models into robust, maintainable production code.

• Develop and maintain training pipelines, versioning, and deployment workflows for large-scale model ensembles.

• Collaborate with Solutions Architects to define data, simulation, and model integration requirements.

• Implement and test physics-informed and hybrid ML models using TensorFlow, PyTorch, or similar frameworks.

• Manage model performance and optimization for real-time decision-making and scalability.

Benefits:

• Company Equity Package

• 401(k) with 3% Employer Match & Roth 401(k)

• Medical, Dental, & Vision Insurance (PPO w/ HSA & FSA options)

• 11 Paid Holidays + Unlimited PTO & Sick Time

• 16 Weeks of Paid Parental Leave

Experience Requirements:

• 4+ years experience designing and building amazing experiences

• Comfort in Figma and code (React, TypeScript, MobX, Next)

Other Requirements:

• Your portfolio is full of examples of delight and utility

• A bias for action

• Comfort with ambiguity

• Applicants must be eligible to work in the US

• A love of music (listening, exploring, making) is a huge plus

Responsibilities:

• Take ideas end-to-end from conception to production

• Strike a balance between proactive ownership and autonomy with a deeply collaborative spirit

• Hold an incredibly high standard for quality and craft

• Think in systems and patterns (help establish our design system)

• Champion accessibility in our products