Engineering and Research

Long Lake; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Long Lake is seeking a talented engineer to join their dynamic team in San Francisco, California. This role focuses on building and deploying AI solutions for real business needs, turning complex workflows into automated solutions that enhance efficiency and productivity.

The successful candidate will work directly with portfolio companies, ensuring seamless AI integration into their operations. Experience in system integration, data management, and user adoption strategies is essential for this impactful position.

Qualifications

• Experience in deploying AI solutions into production.
• Familiarity with data workflows and system integration.
• Ability to measure and improve business metrics via technology.

Responsibilities

• Design and deploy AI systems for operational workflows.
• Work closely with portfolio companies to enhance tool adoption.
• Create training pipelines for AI to improve task completion.

Skills

AI platform development

Workflow automation

Integration with legacy systems

Data management

User adoption strategies

Education

Degree in Computer Science or related field

Tools

ERP Systems

AI Development Tools

Job description

We are transforming the services economy with AI.Long Lake acquires service business and transforms how they operate through a shared AI platform, forward-deployed engineers, and a world-class M&A / operations team.

We're backed by General Catalyst, Alpha Wave, Elad Gil, and others, with billions in permanent capital raised. We are not a private equity fund but a permanent capital vehicle with an extremely long-term view. In the words of Warren Buffett, "our favorite holding period is forever."

The Role

Most AI companies build demos. We build and run operating systems for real businesses. This is a rare chance to own the full arc: design the system, deploy it into production, watch operators rely on it every day, and iterate until it's irreplaceable.

What You’ll Do

Some engineers at Long Lake focus on our AI platform: agent orchestration, real-world evals, connectors, data infrastructure. Others spend more time embedded with portfolio companies, running discovery, shipping vertical tools, automating workflows and driving adoption.

Problems you might work on:

• Turning a workflow where someone spends hours copying data between systems, QA-ing outputs, and producing documents into a background agent that runs in minutes and flags exceptions for review
• Writing the integration between a modern agent and a legacy industry ERP with no clean API, and making it reliable enough to run core business operations
• Building the deployment infrastructure that makes rolling AI into a new business repeatable rather than bespoke: the orchestration, connectors, and reliability layer that every new workflow inherits
• Going onsite with a team, expanding adoption beyond the early power users, measuring impact, and shipping the changes that make daily use feel obvious
• Building the evals, feedback loops, and training pipelines that teach AI to reliably complete specific jobs, turning capable models into genuine AI coworkers

What Success Looks Like

• You've shipped something into daily production use, not a pilot or a proof of concept, and the team would notice if it went down tomorrow
• A workflow that used to take a person hours now runs as a background agent, and the hours have been redirected to higher-leverage work
• Something you built once has been reused across multiple portfolio companies, because you designed for the second deployment, not just the first
• You can point to a specific business metric (throughput, cycle time, error rate) that moved because of work you led

Equal Opportunity
Long Lake is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any.