Full-Time
Founding Engineer
Full Stack, Product Leaning
Menlo Ventures
51-200 employees
Early-stage VC funding AI, SaaS, healthcare
Compensation Overview
$130k - $180k/yr
San Francisco, CA, USA
Hybrid
 Software Engineering (1) |
|---|
- 5+ years of full-stack development with a strong grasp of product strategy.
- Proven work on LLM projects, ideally including agentic workflows, with ability to discuss specific use cases, architectures and technical challenges.
- Tech Stack: Next.js (TypeScript), Supabase (PostgreSQL), Node.js, Langsmith
- Experience building 0 –> 1 in a startup, earlier stage the better.
- Demonstrated proficiency in writing clean, reliable code with effective testing (unit / integration).
- Ability to walk us through a technical project you have led or significantly contributed to, in detail.
- Comfortable with ambiguity and evolving project requirements, with a track record of iterating quickly.
- If you’re excited about solving complex technical challenges and building a transformative product from the ground up, we’d love for you to join us.
- Refine the product flow and user interface while developing the frontend.
- Identify key technical requirements to optimize workflows for indirect spend categorization with RAG+LLMs, unique part identification extraction, agentic AI-driven benchmarking strategies, and agentic AI-driven negotiations.
- Implement LLM, RAG, and agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations.
- Train LLMs and implement agentic AI tailored to procurement, creating intelligent agents that find online benchmarks, clean and triangulate dirty data to find critical part information, find contact information from suppliers online, communicate with suppliers, reduce costs, and drive measurable value for enterprises.
Menlo Ventures is a venture capital firm that backs early-stage startups in AI, healthcare, fintech, and SaaS. It provides capital and strategic support to help founders achieve product-market fit, develop go-to-market plans, and scale their companies, in exchange for equity. The firm’s mechanisms include investing cash and offering guidance, mentorship, and resources to accelerate growth, with ownership that yields returns as portfolio companies mature and exit via acquisitions or public offerings. Menlo differentiates itself through hands-on partnership with founders, a focus on technology-enabled sectors, and a track record of successful investments and exits. The overarching goal is to generate long-term value by increasing the value of its portfolio companies and earning returns when they are acquired or go public.
Company Size
51-200
Company Stage
N/A
Total Funding
$59.8B
Headquarters
Menlo Park, California
Founded
1976
Simplify's Take
What believers are saying
- Enterprise AI adoption surges 2.2x U.S. economy rate, boosting Menlo's portfolio returns.
- Elorian's physical AI for robotics gains Nvidia and Jeff Dean backing post-2026 funding.
- Menlo's AI infrastructure bets capitalize on exploding computational demands.
What critics are saying
- Sequoia captures 25% more Series A AI rounds than Menlo in Q1 2026.
- a16z's $7.2B fund triples deployment, pricing Menlo out of Elorian follow-ons.
- SEC AI risk rules trigger 20-30% LP redemptions from Menlo's funds by Q1 2027.
What makes Menlo Ventures unique
- Menlo Ventures launched $100M Anthology Fund with Anthropic for early-stage AI startups.
- Menlo Ventures led $55M round for Elorian's visual AI reasoning at $300M valuation.
- Menlo deploys specialized teams for inception validation, Series A/B growth, and scaling.
Help us improve and share your feedback! Did you find this helpful?
Benefits
Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Company Equity
Company News
Elorian, a Palo Alto, CA-based AI research and product lab focused on advancing visual reasoning for AI, raised $55M in a seed funding round at a $300M valuation
Elorian, a Palo Alto-based AI startup co-founded by former Google DeepMind researcher Andrew Dai, has emerged from stealth with $55 million in funding at a $300 million valuation. Menlo Ventures, Altimeter Capital, Striker Venture Partners, Nvidia and AI researcher Jeff Dean backed the round, raised across two tranches at $120 million and $300 million valuations. The pre-revenue company is building models that reason about images and visual data, focusing on physical AI for robotics and autonomous systems. Co-founders include former Google and Apple researcher Yinfei Yang and former Harvard professor Seth Neel. Elorian plans to release its first public reasoning model in approximately 12 months and is currently in discussions with potential customers.
FLORA has launched FAUNA, an AI creative partner for professional teams, alongside announcing it has raised $52 million from investors including Redpoint Ventures, a16z Games Speedrun, Menlo Ventures, Factorial Capital and Long Journey Ventures. FAUNA is designed for creative professionals working within a visual canvas, building workflows in real time through nodes and connected models. The platform provides access to over 50 AI models through a single interface and includes tools called Techniques and Image Editor. Techniques offers reusable workflows from organisations including Netflix, Pentagram and Base Design. The Brooklyn-based startup positions FAUNA as a tool that prioritises craft over speed, targeting professionals who view AI as a multiplier rather than a simple generator. The platform is already being used by Netflix, Pentagram and Wonder Studios.
Qualified Health, a startup that works with health systems to evaluate and adopt artificial intelligence technology, raised $125 million in fresh funding to scale up its business. | Qualified Health, a startup that works with health systems to evaluate and adopt artificial intelligence technology, raised $125 million in fresh funding to scale up its business.
BrainGrid, an AI product planner for non-technical builders, has raised $1 million in pre-seed funding led by Menlo Ventures, with participation from Next Tier Ventures and Brainstorm Ventures. The company addresses what it identifies as the new bottleneck in AI-native software development: planning rather than coding. Founded by former Twilio product and engineering leaders Nico Acosta and Tyler Wells, BrainGrid provides structured planning tools that work alongside AI coding platforms like Claude Code and Cursor. The platform follows a four-stage framework — Capture, Structure, Build, Verify — enabling non-technical founders to turn ideas into revenue-generating software products. Over 500 builders have used BrainGrid to ship live SaaS applications across various sectors including fitness, healthcare and productivity.