Pear VC Logo

Pear VC

Founding Engineer

Reposted 10 Days Ago
In-Office or Remote
6 Locations
140K-200K Annually
Senior level
In-Office or Remote
6 Locations
140K-200K Annually
Senior level
Founding full-stack engineer to build and ship production LLM-powered features and core product surfaces (employee UX and manager dashboard). Work across web and desktop stack, own features end-to-end, set up telemetry/eval systems, join pilot calls, convert pilots to customers, and shape engineering culture and architecture as the company scales.
The summary above was generated by AI
The Opportunity

Companies have spent billions on AI tools and tokens. Almost none of them can prove it’s working. 95% of organizations report zero measurable return from their AI investments. Not because the tools are bad, but because nobody redesigned the workflows, coached the teams, or measured what actually changed.

Modo is the AI success layer for the enterprise. We sit inside the flow of work, capture how teams actually use AI, guide them in the moment, and give leaders the ROI analytics to understand which AI tools and workflows are actually creating value.

Today, Modo helps companies drive AI adoption and prove ROI inside real workflows. As we capture more workflow context, Modo becomes the layer understanding how work actually gets done across teams, tools, and AI, which allows companies to build proprietary custom agents grounded in their own workflows.

We are a Seed stage startup, raised from One Way Ventures, Pear VC, Peterson Ventures, JFF Ventures, and a strong group of institutional investors and strategic operators. Now we need to build fast enough to match customer demand.

The Role

This is not a typical engineering role. You’ll be our founding engineer, with an outsized role in how the product, company, and engineering culture evolve.

You’ll write code, but you’ll also:

  • Talk to customers and join pilot calls

  • Turn feedback into product changes the same week

  • Influence the roadmap directly

  • Help close deals by building what matters fast

  • Own features end-to-end, from prototype to production

In your first 90 days, you’ll:

  • Ship production code to real pilot customers in your first weeks

  • Build the core product surfaces: employee-facing guidance UX and manager dashboard

  • Work across the stack (TypeScript, React, Next.js, Postgres, Electron/Tauri)

  • Wire up LLM features that actually work in production, not just in a demo

  • Set up the telemetry and eval systems that make our insights credible

In 6 months, you’ll:

  • Own large product surface areas end-to-end

  • Help convert pilots into paying contracts with your product work

  • Drive the reliability and quality bar that enterprise buyers expect

  • Start shaping engineering culture and hiring as we grow the team

In 12 months, you’ll:

  • Architect key parts of the system

  • Be known by name to our biggest customers

  • Opportunity to lead engineering as we scale past our seed round

Competitive salary, meaningful early equity, and the chance to grow into an engineering leadership role as we scale.

Who We Want
  • Shipping full-stack production-ready products in fast-moving environments

  • Strong with TypeScript, React, Next.js, backend APIs, and Postgres

  • Comfortable building across web and desktop (Electron, Tauri, or similar)

  • Has built LLM-powered features in production, not just prototyped with them

  • Production habits: CI/CD, testing, observability, pragmatic system design

  • Native with AI coding agents (Claude Code/Codex)

  • Obsessive about customer needs, not just abstract “users”

  • Comfortable debugging, writing tests, talking to customers, and jumping on a pilot call

Bonus: Experience with building browser-based automation tools or developer/enterprise tools.

The Team

You’ll join Johnny Chang (Stanford top AI agent research, taught most Stanford AI flagship courses with professors like Andrew Ng) and Angelina You (Meta data science, Stanford MS Eng, product growth at CircleCI) as the founding engineer. Product, engineering, and customer work all run through the same room.

We’re backed by One Way Ventures, Pear VC, Peterson Ventures, JFF Ventures, and many more institutional funds and strategic angels.

Why Modo
  • Founding team member. Shape culture, product, and technology from the ground up.

  • Real ownership. Your code ships to enterprise customers from week one.

  • Leadership trajectory. Designed to grow into a leading engineering role.

  • In-person around SF. We believe great teams build faster together.

  • Competitive pay + early equity. Rewarded for the outsized impact you’ll have.

How to Apply

Email [email protected] with:

  • Your GitHub

  • Your Resume

  • 2 to 3 links to things you’ve shipped (projects, products, demos, write-ups)

  • A short note on the most impressive thing you’ve built

HQ

Pear VC Menlo Park, California, USA Office

Menlo Park, CA, United States

Similar Jobs

Yesterday
In-Office or Remote
6 Locations
170K-250K Annually
Senior level
170K-250K Annually
Senior level
Angel or VC Firm • Artificial Intelligence • Information Technology • Software
Join a talent network connecting founding AI engineers with VC-backed startups. Responsibilities include designing, building, and deploying ML/DL models, creating scalable data pipelines, optimizing real-time and batch model deployments, developing RAG and LLM systems, and aligning AI strategy with founders and product goals.
Top Skills: AirflowSparkAws LambdaAws S3Aws SagemakerAzure Ml StudioAzure SynapseDockerFastapiFlaskFlinkGcp BigqueryGcp Vertex AiHadoopJaxKafkaKubeflowKubernetesMlflowNoSQLPythonPyTorchScikit-LearnSQLTensorFlowTfx
Yesterday
In-Office or Remote
6 Locations
170K-250K Annually
Senior level
170K-250K Annually
Senior level
Angel or VC Firm • Artificial Intelligence • Information Technology • Software
Join a talent network connecting founding backend engineers with VC-backed startups. Responsibilities include designing and maintaining scalable backend systems, building high-performance APIs and microservices, optimizing databases and data pipelines, defining technical strategy with founders, and establishing best practices for security, DevOps, and cost-efficient cloud infrastructure.
Top Skills: Aws (LambdaAzureDjangoDockerDynamoDBEc2ElasticsearchFastapiFirestore)FlaskGcp (Cloud RunGithub ActionsGoGoGraphQLJavaJavaScriptJenkinsKafkaKubernetesMongoDBMySQLNode.jsPostgresPythonRabbitMQRds)RedisRest ApisRubyRuby On RailsS3Spring BootTerraformWebsockets
Yesterday
In-Office or Remote
6 Locations
170K-250K Annually
Senior level
170K-250K Annually
Senior level
Angel or VC Firm • Artificial Intelligence • Information Technology • Software
Join a talent network connecting founding full stack engineers with VC-backed startups. Responsibilities include designing and building front-end and back-end systems, developing APIs and cloud architectures, collaborating with founders on technical strategy, contributing to technical roadmaps, writing clean code, and establishing engineering best practices.
Top Skills: AngularAws (LambdaAzureDjangoDockerDynamoDBEc2ElasticsearchFastapiFirestore)FlaskGcp (App EngineGithub ActionsGoGraphQLJavaJavaScriptJenkinsKubernetesMongoDBMySQLNode.jsPostgresPythonRds)ReactRedisRest ApisRubyRuby On RailsS3SvelteTerraformTypescriptVueWebsockets

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account