Find your next shift, anywhere.

Starbridge·NYC or Remote

Haystack·Berlin, Barcelona, London (Remote-first)

Littlebird.ai·Global+Remote

Sphinx Defense·Remote (US Only), DC, Colorado Springs +1 more

Sphinx Defense·Remote (US Only), DC, Colorado Springs +1 more

Sphinx Defense·Remote (US Only), DC, Colorado Springs +1 more

Railway·Remote (Worldwide)

xdof·SF Bay preferred, NYC & Remote possible for non-robotics roles At xdof, we're at an inflection point. Frontier labs are racing to build general-purpose robots +10 more

Input Output·Full-Time

Kilo Code·Remote

Pomelo Care·Remote

Pomelo Care·Remote

Pomelo Care·Remote

Nova Credit·Remote

Product Genius·Remote (US)

Ambito (ambito.io) — Founding AI Engineer / Equity Partner — Remote but Boston based only Ambito is a CRM-connected QBR generator for B2B sales teams. The product is live, with the sales module, template engine, and CRM integrations already built. We're looking for a founding AI engineer to make the product significantly smarter and broader. This is an equity-only role initially (10+ hrs/week), working directly with the founders and our existing technical partner. You'll work on: AI product features: Build a native assistant that can answer questions about customer data, surface trends, provide setup guidance, and help generate QBRs. Retrieval, tool use, structured-data queries, evals, and cost control. Customer Success: Extend the existing framework into account reviews, renewals, and customer health. Integrations: Harden and expand CRM/CS integrations (Salesforce, HubSpot, etc.). Product: Make the overall experience faster, simpler, and more AI-native where it actually helps. We're looking for someone who has shipped LLM features in production, not just demos, and is comfortable with retrieval, embeddings, tool calling, agent workflows, and evaluation. You should also be able to work across React, TypeScript, and Node (Firebase experience is a plus). You should think like a product engineer: turn varied customer requests into simple, flexible systems and work independently. Sales tech / RevOps / CS experience is a plus. Boston/MA is a plus. To apply: Send a short note with something you've built using AI and why this problem interests you. No cover letter. LinkedIn or contact@ambito.io.·Remote

Hiring Tech Lead - Staff Backend Engineer - AI Engineer – REMOTE LATAM - We build AI tools that help high-volume law firms manage their caseloads more efficiently. Our first product—an AI assistant that transcribes and classifies inbound calls—is in production. We’re now expanding into case tracking, follow-ups, and full workflow automation. Looking for: Staff Backend Engineer Tech Lead: Lead a senior team, shape product and tech, work closely with founders. Senior Engineers (Backend, AI): Remote across LATAM. Build fast, useful tools. Small, experienced team. Real autonomy and product impact. Tech Stack: Python, TypeScript, Postgres, Kubernetes, GCP Languages: Spanish + English for leadership. English only OK for engineers. Apply here: tramcase.com·Remote

Location: Dubrovnik, Croatia (CET) Remote: Yes (remote only; EU/UK/US-overlap hours OK) Willing to relocate: yes Technologies: TypeScript, React, Next.js, Node.js/Express, PostgreSQL, Supabase, Prisma, Stripe (billing, webhooks), OAuth/JWT/RBAC, Anthropic/OpenAI APIs, RAG, Tailwind, Jest/Vitest/Cypress, Docker, GitHub Actions Résumé/CV: GitHub: LinkedIn: Email: lazarbukejlovic@icloud.com Full-stack / product engineer, 4+ years shipping production SaaS end to end. I lead a team of 5–6 engineers for an international client. Built operational dashboards used by ~10k monthly users, fixed duplicate-charge and sync bugs at the source with idempotent webhooks, and ship AI features that people can trust (cited evidence, confidence scores, human review queues). Also 3 years of customer-facing technical support, so I'm comfortable owning a problem from the customer report to the fix. Looking for: Product Engineer, Full-Stack, AI Product Engineer or Technical Support Engineer roles at small teams.·Remote

DuckDuckGo - we are looking for candidates that are excited to join us on a mission to raise the standard of trust online. All of our roles are fully-remote, except where specific locations are noted. Senior Web Security Engineer, Browser Platform - $178,500 USD + equity ... Senior Backend Engineer - $178,500 USD + equity ... Staff Data Scientist - $222,033 USD annually + equity ... Director, Data Science - $243,800 USD + equity ... Director, Privacy Engineering- $243,800 USD + equity ... Director, Paid Marketing (Subscriptions) - (Remote within USA) - $243,800 USD + equity ... Senior Growth Marketing Manager (Subscriptions) (Remote within USA) - $178,500 USD + equity ... Senior Product Partnerships Manager (Remote within USA or Canada) - $200,267 USD + equity·Remote·USD 222,033 - 243,800

DuckDuckGo - we are looking for candidates that are excited to join us on a mission to raise the standard of trust online. All of our roles are fully-remote, except where specific locations are noted. S enior Web Security Engineer, Browser Platform - $178,500 USD + equity ... Senior Backend Engineer - $178,500 USD + equity Staff Data Scientist - $222,033 USD annually + equity Director, Data Science - $243,800 USD + equity Director, Privacy Engineering- $243,800 USD + equity Director, Paid Marketing (Subscriptions) - (Remote within USA) - $243,800 USD + equity Senior Growth Marketing Manager (Subscriptions) (Remote within USA) - $178,500 USD + equity Senior Product Partnerships Manager (Remote within USA or Canada) - $200,267 USD + equity·Remote·USD 222,033 - 243,800

Location: Tbilisi, Georgia (GMT+4) Remote: Yes (required) Technologies: Ruby on Rails, Elixir, Phoenix, React, React Native, Node.js, TypeScript, PostgreSQL, Redis, AWS, LLM/AI Website: Resume/CV: LinkedIn: GitHub: Email: davit.khaburdzania@gmail.com 3x founding/first engineer with 15+ years shipping products from zero to scale. Most notably: founding engineer at EverAI — joined at zero, built nearly every core feature, grew to 20M users and $5M/month revenue. Pioneered production AI pipelines across LLMs, image generation, voice synthesis, and video — not API wrappers, full systems. Also: first eng at Shogun (YC W16, became category-leading Shopify app), CTO at AirHelp (concept to launch in 5 months), founded and scaled a 20-person dev agency. Most recently built an ad platform at TurbaMedia from zero to $24M+ annual spend in 6 months. Looking for: Early-stage startup where I can own product areas and work directly with founders. I've built entire products solo — I don't need hand-holding, I need interesting problems. Fully remote.·Remote

Location: Bangalore, India (IST, UTC+5:30) Remote: Yes Willing to relocate: No Technologies: React Native, React, Next.js, TypeScript, JavaScript, Astro, Expo, Redux Toolkit, Zustand, React Query, Node.js, Express, MongoDB, Firebase, Jest, React Testing Library, GitHub Actions, Fastlane, AWS, Gemini API, Azure OpenAI, Claude Code, Cursor Résumé/CV: Portfolio: GitHub: LinkedIn: Email: hirepriyankasharma@gmail.com Mobile + web engineer with 6 years shipping consumer and fintech products end to end. Currently SDE2 at Zataverse (formerly Black Leaf Digital, LA-based, working async from India). Some things I've shipped: - Imaige ( ): built the site from scratch, including auth, payment gateway integration and onboarding, improving checkout reliability - Socialaize and Staryo: OAuth/social sign-in, push notifications, production stability fixes - Adecco app (700K+ daily users): white-label onboarding and eKYC; automated releases with Fastlane + GitOps (60% faster) and PR checks with GitHub Actions (40% less review overhead) - Torum Pay: push notifications with deep linking, reworked state management and cut app crashes 30% - EduFund: KYC for Indian and US investment accounts, push notifications that lifted new-user activity 47% Also: author of "AI + Gemini for Web Developers" ( ), and spoke at Microsoft Bangalore on taking Azure OpenAI integrations to production. Looking for: a remote React Native / frontend / product engineer role on a product-focused team, ideally where AI features are part of the product. Happy to own features end to end.·Remote

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.·Remote

Director of Sales Legal Ark AI · First Sales Leader · Job Description · REMOTE (US) and talent@legalark.ai About: Legal Ark AI serves as the workflow intelligence engine for estate planning practices. Our platform converts unstructured client data into high-confidence, verified facts prior to document generation, empowering legal teams to accelerate throughput, mitigate risk, and scale efficiently without a linear increase in headcount. The Role: As our first Director of Sales, you will own new business revenue end to end and build the sales engine from the ground up. You will personally close early deals, figure out the repeatable playbook, and then hire and lead the team that scales it. What You’ll Own: - New business ACV: land our core market, estate planning firms with 1 to 25 attorneys, and structure larger deals where they make sense. Large litigation firms are not our market. - The playbook: build outreach, qualification, demo, and close motions from scratch; find the repeatable recipe, then document and scale it. - The team: hire and lead SDRs and inside reps as revenue supports, so you move from doing everything to leading a team that does. - The stack: own the sales tooling (prospecting, CRM, sequencing, automation) and choose what makes the team most efficient. - Pricing and packaging: partner with the founders on pricing, tiers, security and white glove options, and value gating; be the eyes and ears on what customers will pay for. - Market signal: feed product and customer success with what you hear in the field, and represent Legal Ark AI at industry events. What Success Looks Like: You ramp quickly to a new business quota (target Year 1 new ACV of approximately $3,000,000, roughly 250 seats at current pricing), establish a repeatable motion, and lay the foundation for a team that carries the company toward its growth and exit goals. Who You Are: - A proven B2B SaaS closer who has built processes, not just worked someone else’s. - Experienced selling to SMB and moving deals upmarket; comfortable running the full cycle, from first touch to signature. - Energized by an early stage, commission only structure where your earnings track directly to the revenue you bring in. - A builder and leader who can hire, coach, and scale a small team. Someone who can sell a product that augments attorneys and their staff rather than replacing them, and who is comfortable leading with verification and confidence in the data rather than speed alone. - Legal tech, AI, professional services, or legal sales experience is a plus, not required. Compensation: Uncapped commission·Remote

Distru ( )·AI Product Engineer

Aha! ( )·Remote Aha! is the #1 tool for product managers to plan strategy and roadmaps. We serve more than 700, 000 users worldwide. We are looking for: * Experienced full-stack Rails and security engineers to work on the Aha! product. Our application is built in Ruby on Rails, with React on the frontend for rich client-side experiences. * Devops engineers with Ruby experience. We focus on the "dev" and all of our operations driven by code. Aha! is profitable +2 more

Aha! ( )·Remote Aha! is the #1 tool for product managers to plan strategy and roadmaps. We serve more than 700, 000 users worldwide. We are looking for: * Experienced Rails security engineer to work on the Aha! product. Our application is built in Ruby on Rails, with React on the frontend for rich client-side experiences. Aha! is profitable +2 more

GetFast·Bay Area / Remote We're on a mission to simplify running through wearables data. We're a small team of runners who love to build. We're looking for a founding engineer to shape the future of our product and company. You’ll work across the stack–from building reliable, scalable systems to rapidly prototyping and launching new user-facing features. You’ll have significant ownership and influence on architecture, product direction +1 more

Scout IP·Italy / Remote We’re building an AI system for patent search that non-experts can actually use. We already have: a working MVP (150M+ patents indexed)& a waiting list of research centers and funds ready for pilots. Now we need someone to help turn it into a real product. You’ll work on: multi-tenant SaaS (org accounts, roles, audit) knowledge graph integration (OriginTrail) RAG + semantic search pipelines core product decisions +1 more

Matcha.fm·Remote (Canada, Europe, UK +6 more

Howie·Vienna / Remote (EU) Early-stage AI startup in AEC (knowledge management system for large planning teams/architects), live product, EU/UK customers +6 more

Fanvue·Remote (UK/EU preferred) Fanvue is building the next generation of creator monetization and self-serve AI tools. Our real-time chat system is the core of the product, driving creator–fan interactions and high-volume AI-enabled messaging. We’re hiring a senior engineer to help own and scale this mission-critical service: low-latency distributed systems, event-driven APIs +3 more

Talk Machine·Remote (or London, Europe, Dubai) https://talkmachine.com/jobs/engineer https://talkmachine.com/jobs/mobile Hello. I'm the founder of Talk Machine +13 more

Outschool·Remote US or CA At Outschool, we're reimagining education by helping millions of learners discover their passions through engaging, personalized learning experiences. Our mission is to inspire kids to love learning by connecting them with exceptional educators and enriching content from around the world. As a Remote-first company +7 more

Rechat·Remote Rechat is the leading AI-powered operating platform for real estate brokers and agents. Think Shopify for real estate—a mobile-first super app with marketing automation, workflow management, and everything agents and brokers need to run their business in one place. We’re a small +7 more

ORIGAMICS·Remote (US) Origamics is building AI models that reason about hardware and electronics systems. We turn existing schematics into production ready boards, helping hardware design move at the speed of software. We’re hiring our first founding engineer to work directly with the founders. You’ll own product architecture, services +11 more

Crew Capable AI·Remote (US Based) Automating order entry for mid-market manufacturers via AI. Working MVP, first enterprise contract pending ($500M company), entering implementation phase. Looking for employee #2 to own technical development and grow into co-founder. What You'll Do: Build ERP/EDI integrations +15 more

Talk Machine·Remote (or London, Berlin, Dubai) https://talkmachine.com/jobs/engineer Hello. I’m the founder of Talk Machine +10 more

Blueberry Pediatrics·Remote (US only) American healthcare is seldom affordable, accessible, or high-quality. We are fixing this for pediatrics. Blueberry is the most affordable option amongst our competitors. We practice the highest quality pediatric telemedicine +14 more

PetsApp – The future of pet care·Full-time We’re building an AI-powered clinic assistant that actually gets things done—booking appointments, managing vaccine records, handling FAQs +12 more

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK/India) Full-time AI Risk Decisioning™ platform that helps organizations manage onboarding, fraud, credit +1 more

Scite (scite.ai)·Remote (US) We build AI-powered tools that help researchers and organizations make sense of the scientific literature. Small team, hard problems, real momentum. Our MCP server just launched +34 more

Prompt Health·Remote (US) Prompt Health is a fast-growing Healthcare SaaS company with over $100M in ARR, growing 100%+ YoY. We build software used by large healthcare organizations to operate more efficiently and deliver better patient care. We ship hundreds of features and products each year with a small, highly collaborative engineering and product team. Engineers have real ownership +36 more

Prompt Health·Remote (US) Prompt Health is a fast-growing Healthcare SaaS company with over $100M in ARR, growing 100%+ YoY. We build software used by large healthcare organizations to operate more efficiently and deliver better patient care. We ship hundreds of features and products each year with a small, highly collaborative engineering and product team. Engineers have real ownership +47 more

Instinct Science·Remote (US) Instinct Science is the AI leader in veterinary medicine. We build the platform that powers animal hospitals — a cloud-native EMR with real-time clinical decision support and applied AI that helps veterinary teams practice at their best. Thousands of users across the globe rely on what we ship every day. We're at an inflection point: proven product-market fit, scaling fast, and greenfield work ahead that will serve tens of thousands of users. Engineers here own problems end-to-end — from talking to veterinarians about their biggest frustrations +14 more

Socket·Remote (US) Socket is a developer-first, security company focused on protecting the open-source supply chain. With over 90% of modern code coming from open source, Socket is tackling one of the most urgent and complex problems in security by building something that is both preventative and predictive. Our product is trusted by 10 +6 more

Phrasing.app·EUROPE Remote Phrasing is a bootstrapped company dedicated to building the most effective and efficient way to learn a language. I’m a polyglot myself and have always struggled for a few main reasons: 1. Apps only ever focus on taking you from 0-1, never from 1-100. 2. If you have any experience in the language, it’s really hard to pick it up after a few years. 3. Language learning apps are always ugly +15 more

Babou·Remote

Grafana Labs·100% Remote (US + Canada)

Karhuno Group /·Remote (US only)