Full-Time
Founding Engineer
Full Stack, Backend 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 (2) |
|---|
| , |
- 5+ years experience in full-stack engineering, with senior-level expertise
- Experience building 0 → 1 in a startup, earlier stage the better (pre-seed, seed, series A)
- Strong track record of iterating quickly on product and growing a customer base
- Experience working with modern AI/ML technologies, including Agentic AI, LLMs, RAG and prompt engineering
- Tech Stack: Next.js (TypeScript), Supabase (PostgreSQL), Node.js, Langsmith
- Ability to code and iterate quickly and scrappily, with also being able to step back and architect the stack
- Data Science background or familiarity (key: working with large data sets, parsing)
- Hungry to build a $B+ VC-backed AI enterprise solution
- Design and architect the foundational infrastructure for NegotiateAI’s procurement platform, enabling seamless integration with ERP systems, supplier databases, and spend analytics tools
- 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 negotiation automation
- Define fundamental platform capabilities that streamline procurement processes, including real-time spend visibility, supplier benchmarking, and automated decision-making
- Implement LLM, RAG, and Agentic AI pipelines to process and analyze large-scale procurement data, generate actionable insights, and power intelligent spend recommendations
- Apply data privacy principles and implement best practices for security, including data anonymization, key obfuscation, tokenization, training models within secure sandboxes, adhering to GDPR standards, and ensuring SOC II compliance
- 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
- Some large company experience early in career
- Experience building consumer-grade software
- Experience in scaling and working with enterprise clients
- Founding engineer experience at pre-seed through series A or B startup
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
$59.9B
Headquarters
Menlo Park, California
Founded
1976
Simplify's Take
What believers are saying
- Healthcare AI spending triples to $1.4 billion in 2025, boosting Menlo portfolio.
- Track record of 80+ IPOs and 165+ acquisitions refines exit timing strategies.
- Enterprise gen AI market hits $37 billion in 2025, accelerating Menlo returns.
What critics are saying
- Anthropic scaling diverts resources from other AI investments within 6-12 months.
- Aisera and Typeface compete directly, eroding returns in 12-24 months.
- EU AI Act Phase 2 stalls Anthropic deployments, collapsing 20-30% portfolio value in 9-15 months.
What makes Menlo Ventures unique
- Menlo Ventures combines deep AI technical expertise with operational experience across infrastructure to applications.
- Anthology Fund partners with Anthropic on $100 million for AI-native startups.
- Menlo leads healthcare AI with investments in eight unicorns like Abridge and Ambience.
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.