Find your next shift, anywhere.

Rapport·Remote (US)

LiveMap·Full-Time

Rapport·Remote (US)

Greenline·Remote (U.S. only)

myDataValue·Remote (UK only, + London WeWork a few days/month)

LiveMap·Full-Time

Runway·Remote US/EU/UK + hubs in NYC, SF, Seattle +1 more

Timestored·Remote

Early-stage Startup·Full-Time

Strobe·Brooklyn, NYC

Rolling Insights·Remote (Canada)

ClickHouse·Remote (US preferred right now, EU is technically fine but I'm looking to ramp up in US atm) ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc +7 more

ClickHouse·Remote US Remote preferred right now, EU is technically fine but I'm looking to ramp up in US atm ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc +7 more

Conservation Metrics·Remote (US) Indigenous People around the world are working tirelessly to protect and manage their territories under mounting external threats. Conservation Metrics is a small, mission-driven company co-creating an open-source data platform designed to support territorial monitoring and Indigenous data sovereignty. It combines Remote sensing products (maps, alerts +12 more

Conservation Metrics·Remote (US) Indigenous People around the world are working tirelessly to protect and manage their territories under mounting external threats. Conservation Metrics is a small, mission-driven company co-creating an open-source data platform designed to support territorial monitoring and Indigenous data sovereignty. It combines Remote sensing products (maps, alerts +12 more

Fairwater Labs·Remote (US-based)

NeuralFrame·Remote (US only, US time zones; no visa sponsorship)

Radar Labs·Remote (US), NYC

Radar Labs·Remote (US), NYC

OneChronos·NYC (HQ), London or Amsterdam

Wheelhouse·Remote (PT to CET preferred)

Hiring: AI, Data, DevOps & Full Stack Engineers·Remote

Radar Labs·Remote (US), NYC

OneChronos·NYC (HQ), London or Amsterdam

Nova Credit·Remote

Nova Credit·Remote

Nova Credit·Remote

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK)

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK)

Zencastr·Remote (Americas, UTC-1 to UTC+1)

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK/India)

Pomelo Care·Remote

Pomelo Care·Remote

Cider Consulting·NY, USA

Microsoft Azure Data·US Redmond/Remote We build the engine ( https://github.com/Microsoft/DiskANN ) that brings vector search capabilities to Azure Databases and most other at-scale search/RAG systems at Microsoft. See aka.ms/AboutDiskANN Looking for Rust developers to join our team of researchers and engineers. Experience with performance engineering, OSS development, Database internals +1 more

Microsoft Azure Data·US Redmond/Remote We build the engine ( https://github.com/Microsoft/DiskANN ) that brings vector search capabilities to Azure Databases and most other at-scale search/RAG systems at Microsoft. Looking for Rust developers to join our team of researchers and engineers. Experience with performance engineering, OSS developments, Database internals +1 more

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - DevOps Engineer (QVAC): - Software Architect (Tokenization): - Bare Developer (C / JavaScript): - Backend Developer (Wallets): - Frontend Engineer (QVAC): Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training):·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

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - AI Inference Engineer (QVAC): - DevOps Engineer (QVAC): - AI Harness Engineer: - Backend Developer (Wallets): - Technical Content Creator (P2P): - Product Designer (Wallets): - Event Design Coordinator: Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training): - AI Research Engineer (Kernel & Inference Optimization):·Remote

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

Location: London, UK Remote: Yes — UK remote or London hybrid/onsite Willing to relocate: No Right to work: UK — no sponsorship required Availability: Immediately Software Engineer with 4 years of experience, primarily focused on backend and platform engineering using Node.js, TypeScript, AWS, PostgreSQL, Redis, and event-driven systems. Most recently worked as a Software Engineer II contractor at Deliveroo, improving production CRM data pipelines and lifecycle orchestration using AWS Lambda, SQS, PostgreSQL, Snowflake, Go, and Datadog. Earlier experience includes leading a migration of approximately 400,000 users, updating around 500 APIs, improving application performance with Redis caching, and building production services end to end. Interested in Backend Engineer, Platform Engineer, Full-Stack Engineer, or early-stage/founding engineering opportunities. Technologies: Node.js, TypeScript, JavaScript, React, AWS, PostgreSQL, MongoDB, Redis, Kafka, SQS, Lambda, Docker, Terraform, REST APIs, microservices, Datadog, CI/CD, Go GitHub: LinkedIn: Portfolio:·Remote

Founding Engineer (Security / AI / Distributed Systems) — Stealth Project Next-Gen Secure DePIN x Multi-Agent SLM Trading Platform (Stealth / DM for Proposal) We are building a highly secure, decentralized AI-automated asset management and trading platform running on edge DePIN nodes. The platform utilizes 10 specialized SLMs (Small Language Models) for asynchronous execution. To ensure absolute privacy for institutional and whale traders, we implement a hard-layered defense system. This eliminates the front-running and data-selling risks common in current "free" AI wallets. Tech we use: Cardano/Midnight (ZKP), Estonia UXP, KSI Blockchain, eBPF kernel monitoring, TEE (Intel SGX/AMD SEV), Wasm sandboxing, and NATS/gRPC for low-latency messaging. We are looking for TWO top-tier founding engineers to team up for our upcoming high-value Grant Proposals (Web3 Foundations & Enterprise). One will focus on Security & Infrastructure, and the other on AI & Distributed Systems. Details: - Location: Remote (Global / Target: Eastern Europe, GMT+1 to GMT+3 preferred) - Compensation (Pre-Funding): $150 - $300 setup/consulting fee upfront for a 1-hour alignment call and the legal right to include your profile/CV in our upcoming Grant Proposals. - Compensation (Post-Grant): Once funding is secured, contracted at a premium rate of $100 - $150/hr (Equivalent to a $300k annual salary range). - Benefits / Upside: NO EQUITY DILUTION. Instead, we offer a Milestone-Triggered Revenue Share. Once the platform hits $10,000 in Monthly Gross Revenue, a total of 5% to 10% of Gross Revenue will be distributed directly to the 2 founding engineers every month for 12 consecutive months. - Role: Full-time / Milestone-contract. Apply or request the full proposal document by emailing us at: tai3426g@gmail.com·Remote·USD 300,000

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

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

Analogy Group·Remote Analogy Group is an early-stage startup building AI-enabled political intelligence tools. We ingest data from across the news, web, and social media and create in-depth reports and visualizations. We are mission-driven +6 more·USD 30 - 60 / hour

NeverBlink·Remote (EU) We are building a HuggingFace / npm for ontologies. Ontologies are what gives data meaning. We are looking for people to get this tech into the hands of as many devs in AI & data as possible. You don't need to know what are ontologies, we can teach you that. Some background in agents or analytics preferred. Apply if you like working with OSS communities, technical writing +2 more

CareIgnition·Remote, Chicago (US Only) Medical billing in America is a black box of fragmented data and inefficiency. At CareIgnition, we are building the transparency layer for healthcare. We transform massive +11 more

CareIgnition·Remote, Chicago (US Only) Medical billing in America is a black box of fragmented data and inefficiency. At CareIgnition, we are building the transparency layer for healthcare. We transform massive +11 more

Stealth AI Startup (Funded)·Remote (US) We're building at the intersection of AI and human behavior — think behavioral intelligence at scale. Our platform uses LLMs and proprietary data pipelines to change how the world evaluates trust, identity, and reputation. Not another chatbot. Launching to mass consumer market this year. Team comes from Google +8 more

Turquoise·Remote, USA Turquoise a series C healthtech company is recruiting for two platform engineers to join the newly created platform operations team. You can expect to work closely with our Data Engineering team based in Europe, drive observability +1 more