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Starbridge·NYC or Remote

Starbridge·NYC or Remote

Starbridge·NYC or Remote

eventfirst·Berlin, Germany

VDX.tv ( )·Full-time

VDX.tv ( )·Full-time

VDX.tv ( )·Full-time

Surge AI ( )·Full-time

Surge AI ( )·Full-time

Surge AI ( )·Full-time

Surge AI ( )·Full-time

Littlebird.ai·Global+Remote

Riot IQ·Seattle, WA·USD 90,000 - 180,000

Clutch - building future of padel with AI cameras·Remote (our team is spread across GMT -4/+2/+8 timezones)

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

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: 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

GitBook·Remote (EU); Amsterdam We're building the AI-native platform for documentation. Teams use GitBook to create and leverage product knowledge — technical docs, API references, user guides +8 more

Kyra Health·Remote (USA) We’re building a national ICHRA platform at the intersection of healthcare, fintech, compliance +8 more

Kyra Health·Remote (USA) We’re building a national ICHRA platform at the intersection of healthcare, fintech, compliance +6 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

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

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

Glitch·Ireland & Remote (EMEA preferred)

Starbridge·NYC or Remote

Areto Labs·Full-time

MemberPress·Remote

Folio·Remote (US)

We The Flywheel·Remote (worldwide)

Collective Intelligence Project·Remote (US time zones, PST preferred)

HelloData (Grace Hill)·Remote (US Only)

Stealth·Remote Anywhere

Phaselaw·Remote (US)

Revieve·Remote (Helsinki HQ)

Revieve Oy·Remote [Europe / (GMT+2)]

Hardian Health·Remote (UK only)

Top of Mind ( )·Remote (EU timezone)

Twing.AI·Remote (US-friendly timezones) or NYC

Knit Health·San Francisco, CA

Veedma·Remote (US)·USD 150,000 - 200,000 / annual

EQTY Lab·LA, SF, or Toronto (Remote hours included)

City Detect·Tuscaloosa, AL

Charted Sea·Remote·USD 80,000 - 120,000

Tempus AI·Remote (US)

Komodo Health·Full-Time·USD 200,000 - 253,000 / annual

Rapport·Remote (US)

CoPlane ( )·NYC (preferred) or Remote (North America)

Colonist·Remote (Eastern Europe / SEA)

Honey Homes·Remote (US)