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👋 Happy Saturday, Jobseekers

We’re back this weekend with a fresh list of live jobs from high-signal companies.

• 💧 The Offboard Job Drip: Runway, Vega Security, Apptronik, xAI, Tem, Harvey, Monaco, and more

• 📶 Hiring Signal: IBM to Triple Entry-Level US Hiring With Roles Recast for AI Era

💧 The Offboard Job Drip

1. FounderNexus

FounderNexus is a curated community for venture-scale founders already building at scale. Founded by DocuSign co-founder Court Lorenzini, it connects elite entrepreneurs through smart peer matching, high-impact events, and focused masterminds designed to significantly increase your odds of success. Just founders helping founders win bigger. The most valuable hour of your week. 🚀 

• Head of Membership Development - This is a partner-level position responsible for designing, building, and continuously refining the systems that attract, onboard, develop, and retain exceptional venture-backed founders across a global chapter network.

• Head of Partnership Sales -  This is a partner-level position responsible for building and stewarding long-term revenue partnerships.

• Director of Marketing - partner-level position responsible for shaping and executing the outbound narrative of the organization: how we are understood, how interest is generated, and how the right founders and partners find their way into the network.

If you’re interested in any of these FounderNexus roles, reach out to us at [email protected] for next steps.

2. Runway - AI video generation and world models

Runway has 32 open positions across Engineering, ML Research, Product, Commercial, and Creative teams. Remote-first with hubs in San Francisco and New York.

• Member of Technical Staff, Data Infrastructure — Runway: Builds and maintains large-scale data pipelines powering Runway's AI video generation and world model research. Remote engineering role.

• Staff Product Manager, Machine Learning — Runway: Bridges ML systems with product strategy, leading ML-based feature development for Runway's creative tools across consumer and enterprise products. Remote.

• Enterprise GTM — Runway: Commercial role driving enterprise customer engagement, identifying AI use cases, and growing Runway's business accounts. New York, San Francisco, or Remote.

• Member of Technical Staff, Applied Research — Runway: Advances Runway's multimodal AI models through applied research on world models, video generation, and simulation technology. Remote research position.

• Director, Creative Tools — Runway: Senior leadership role overseeing the strategy and direction of Runway's creative tools ecosystem, guiding how AI capabilities are packaged for creative professionals. Remote.

3. Vega Security - AI-native security operations

Vega has raised $185M total (including a $120M Series B in December 2025). Positions are based in Israel (Tel Aviv), with careers hosted on Comeet.

• Software Engineer (Senior Full Stack) — Vega Security: Designs and builds scalable, high-performance systems for Vega's Threat Detection Platform. Requires 7+ years with Go/Python backend and React/TypeScript frontend. Israel-based.

• Security Research Team Leader — Vega Security: People-manager leading detection engineers and researchers delivering detection content, hunting notebooks, and posture-gap logic. Requires 8+ years cybersecurity and 3+ years team leadership.

• Cyber Threat Intelligence Researcher — Vega Security: Researches threat actors and adversary behavior, translating intelligence into detections and hunting strategies. Influences the evolution of Vega's Threat Intelligence Hub. Requires 6+ years in security operations.

• AI Engineer — Vega Security: Designs end-to-end AI solutions for the security platform, building and fine-tuning LLM-based applications for intelligent threat detection and response. Part of the founding AI team.

• Senior Product Manager — Vega Security: Owns the complete product lifecycle from strategy to execution, working directly with customers and security leaders to drive innovation in threat detection.

4. Apptronik - Humanoid robotics (Apollo platform)

Apptronik has 37 open roles on their Greenhouse board. Most positions are hybrid in Austin, TX, focused on the Apollo humanoid robot.

• Senior Software Engineer, Navigation — Apptronik: Leads development of advanced navigation systems including path planning, obstacle avoidance, and SLAM for humanoid robots. Requires experience with autonomous navigation on mobile/legged robots and modern C++.

• Senior Perception Learning Engineer — Apptronik: Develops advanced perception systems with deep learning models, multi-sensor fusion, and real-time performance in complex human environments for the Apollo robot.

• Senior Software Engineer, Real-Time Controls — Apptronik: Builds advanced real-time control software for general-purpose humanoid robots, ensuring effective hardware-software integration from concept through completion on Apollo.

• Staff Electrical Engineer — Apptronik: Leads electronics development for the Apollo humanoid robot, covering system architecture, PCB design, testing, compliance with safety standards, and mentoring staff.

• Product Quality Manager — Apptronik: Oversees the Quality Team, driving high standards through documentation and corrective actions across manufacturing of humanoid robots.

5. Tem - AI-powered electricity markets

Tem recently raised a $75M Series B (February 2026, led by Lightspeed) at a $300M+ valuation. London-based and fully remote, expanding into Texas and Australia. Their product, RED™, is an AI-powered energy transaction engine.

• Staff Analytics Engineer — Tem: Builds analytics infrastructure and establishes metrics for tem's energy transaction platform, driving data-driven decision-making to make energy systems more transparent.

• Staff Data Scientist — Tem: Applies data science to tem's proprietary pricing engine, developing ML models that predict energy supply and demand for direct renewable energy transactions.

• Technical Lead — Tem: Leads engineering efforts building and scaling the RED™ transaction infrastructure that enables businesses to buy renewable energy directly, bypassing traditional wholesale markets.

• Senior Staff Machine Learning Engineer — Tem: Develops ML models powering tem's Rosso pricing engine, using machine learning and LLMs to predict energy supply and demand across their renewable marketplace.

• Workflow Engineer — Tem: Designs and optimizes operational workflows and automation for contract execution, payments, and invoicing across tem's growing network of 3,000+ business sites.

6. Harvey - Legal AI platform

Harvey serves 1,000+ customers in 58+ countries and has extensive open positions on their Ashby-powered careers page. Most roles are hybrid in San Francisco.

• Senior Software Engineer, Full Stack — Harvey: Owns and leads full-stack engineering projects across Harvey's product suite (Assistant, Vault, Workflows). Hybrid in San Francisco.

• Staff Product Manager — Harvey: Early product team member working with founders on cutting-edge AI product challenges including multi-step agents and real-time retrieval over terabyte-scale datasets. Requires 5–10 years PM or SWE experience.

• Enterprise Account Executive, In-House — Harvey: Drives growth of Harvey's AI solutions for legal teams at large enterprises, owning the full sales cycle from outbound to close. Proven enterprise software sales track record required.

• Legal Engineer — Harvey: Skilled lawyers from top-tier firms who lead product demos, perform customer discovery, and build consultative relationships with law firm partners and in-house counsel. Requires JD and 3+ years at a Vault 50 firm.

• Engineering Manager, Product — Harvey: Leads teams of fullstack engineers building core product surfaces for legal professionals, from complex workflows to collaboration tools. Requires 2+ years SWE management and 5+ years as a fullstack/backend engineer.

7. Monaco - AI-native sales CRM (just exited stealth)

Monaco launched from stealth on February 11, 2026 with $35M in funding led by Founders Fund. Founded by Sam Blond (ex-Founders Fund/Brex), the company has ~40 employees and uses Ashby as their ATS.

• Senior Platform Engineer — Monaco: Builds Monaco's data and ML platform—pipelines, context systems, and infrastructure powering their AI-driven sales product. High-ownership role at the intersection of data engineering, distributed systems, and applied AI. Requires 3+ years building data platforms or ML infrastructure.

8. Inertia Enterprises - Laser-driven fusion energy

Inertia was founded in 2024 by Jeff Lawson (ex-Twilio CEO), Dr. Annie Kritcher (NIF fusion ignition lead), and Prof. Mike Dunne (Stanford). Based in Livermore, CA with ~13 employees and a fresh $450M Series A (February 2026, led by Bessemer). Careers hosted on Ashby.

• Controls Engineer – FPGA Firmware — Inertia Enterprises: Implements high-speed FPGA firmware for target tracking and laser beam pointing systems, designing FPGA architectures and developing deterministic low-latency control loops with optical sensor fusion.

• Materials Scientist or Engineer – Film Production — Inertia Enterprises: Leads mass production of high-performance thin films for inertial fusion energy targets, pioneering techniques for free-standing thin films at 10 Hz manufacturing rate with precision metrology.

• Design Physicist — Inertia Enterprises: Performs simulations to optimize and assess the impact of low-mode asymmetries on implosion performance for Inertia's fusion target designs.

• Design Physicist – LPI and Low-Density Plasmas — Inertia Enterprises: Studies laser–plasma interaction and laser propagation physics relevant to inertial fusion energy, focusing on laser absorption, speckle formation, and parametric instabilities.

• Lab Operations Manager — Inertia Enterprises: Oversees safe and effective operation of research labs at Inertia's 48,000 sq. ft. Livermore facility involving high-power lasers, vacuum systems, precision metrology, and materials processing.

9. xAI - Elon Musk's AI research lab

xAI currently has 286 open positions on their Greenhouse board, heavily weighted toward engineering ("Member of Technical Staff" titles) and data center operations. Offices in Palo Alto (HQ), San Francisco, Seattle, Memphis, and London.

• Member of Technical Staff, Infrastructure Reliability — xAI: Owns 24×7 reliability for the world's largest GPU training superclusters. Designs, implements, and ships systems software and automation in Python/Rust that directly impacts training throughput. Joint xAI/X role in Palo Alto.

• Member of Technical Staff, Pre-training Data Infrastructure — xAI: Works on data infrastructure powering the pre-training of xAI's frontier AI models, contributing to core data pipelines and systems at massive scale. Bay Area (SF/Palo Alto).

• Member of Technical Staff, Safety — xAI: Joins xAI's Applied Safety team driving ML solutions for compliance with platform Terms of Service and user safety. Requires experience in trust & safety, content moderation ML, and LLMs. Palo Alto.

• Member of Technical Staff, Governance Risk Compliance — xAI: Focuses on governance, risk, and compliance for xAI's AI systems at the intersection of technical implementation and regulatory/policy requirements. Palo Alto or Washington, D.C.

• Member of Technical Staff, Enterprise — xAI: Works directly with end customers owning strategy and execution of high-stakes AI projects, functioning similarly to a hands-on AI startup CTO. Small, client-facing team delivering enterprise AI solutions. San Francisco & Palo Alto.

Quick-reference summary

IBM to Triple Entry-Level US Hiring With Roles Recast for AI Era

This chart is the cleanest summary of what the last few years felt like. Startups were pretty steady in 2018–2019, then COVID hit and layoffs spiked hard (April 2020 shows 13,485). 2021 calmed down, rates started rising in early 2022, and then things broke open into the peak. The worst month was Jan 2023: 19,178 layoffs.

The part that matters most right now is the right side. 2024–2025 is a slow fade, not a snap back. Layoffs are lower than the peak, but we’re not back to the old baseline. That’s the real takeaway: startups are still running lean, shifting priorities faster, and cutting earlier when something isn’t working.

How to use this if you’re job hunting:

• Pick companies with a reason to exist in a down market. Revenue, compliance, or mission-critical spend beats “cool idea.”

• Interview like you’re buying a house. Ask about runway, what got funded this quarter, and what roles they’re hiring for because they have to, not because they’d like to.

• Aim for core teams. Product areas tied to reliability, security, infra, and monetization tend to survive when the belt tightens.

If you’ve been feeling like the market is still weird even though the headlines say “recovery,” this is why. The panic is down. The new normal is still tougher.

Join the Offboard Community!

Anything and everything we talk about here can be further discussed in our Slack Community (among many other job-seeking-related topics). Just look for the #newsletter channel to find specific topics to talk about!