Software Engineer (Backend & AI Infrastructure)

Location: San Francisco, CA

Hybrid | Full-time

Compensation: $160K – $300K + Equity

Our client is a venture-backed technology firm based in San Francisco that is redefining the global research industry through AI-powered user interviews. By leveraging advanced AI-moderated technology, the platform enables global enterprises to achieve deep qualitative insights at unprecedented speed and scale. Currently serving world-class brands across the technology and consumer sectors, our client is disrupting a $140B market by replacing slow, high-cost legacy services with high-performance automated solutions.

Following a breakout year characterized by 8x growth, the organization recently secured a $30M Series B funding round led by top-tier Silicon Valley investors. The engineering team is currently scaling to support the rapid adoption of AI-moderated research as the new industry standard. This is a high-impact opportunity for a Backend Software Engineer to join a lean, elite team of 30 in San Francisco and take ownership of mission-critical infrastructure.

Key Responsibilities

Staff Software Engineer (Backend)

Location: San Francisco, New York, or Remote (US)

On-site/Remote| Full-time

Compensation: $225K – $300K 

Our client is a high-growth, venture-backed organization (YC W24) that has raised over $35M to pioneer the next generation of autonomous digital workers. Unlike traditional chatbots or copilots, our client builds fully autonomous "AI employees" that research leads, manage complex outbound sequences, handle deliverability infrastructure, and self-optimize through behavioral patterns.

Currently at $8M+ ARR and scaling rapidly, the organization is deep in the development of its next-generation platform—a step change in the capabilities of AI agents. The backend is the core of this transformation, processing millions of signals to facilitate autonomous decision-making. Our client is seeking a Staff Software Engineer to serve in a foundational role, owning major segments of the platform infrastructure and driving high-throughput AI orchestration. The engineering culture is flat, high-velocity, and results-oriented. There is no red tape; engineers are expected to own outcomes end-to-end, from architecture and design to deployment and monitoring.

Key Responsibilities

Forward Deployed Engineer

Location: New York or San Francisco (with frequent travel to customer sites)

On-site | Full-time

Our client is a venture-backed, high-growth organization (YC W24) that has raised over $35M to pioneer the development of autonomous "AI employees." Unlike traditional chatbots or copilots, our client builds digital workers capable of performing end-to-end professional roles, such as automated business development, lead research, and objection handling. Currently at $8M+ ARR and scaling rapidly, the organization is seeking a Forward Deployed Engineer (FDE) to serve as the critical bridge between their advanced AI technology and their most strategic enterprise customers.

The Forward Deployed Engineer operates at the intersection of engineering, consulting, and advisory. This individual will partner with Sales, Customer Success, and Product teams to ensure that the platform is seamlessly integrated into customer environments to drive measurable ROI. This is a foundational role within a new function directly overseen by the CEO, requiring a blend of deep technical proficiency and high-level strategic communication. This position is based on-site in New York City and requires frequent travel (up to 50%) to customer sites for discovery, scoping, and onboarding.

Key Responsibilities

Applied AI Engineer

Location: San Francisco, New York, or Remote USA

Onsite/Remote| Full-time

Our client is a high-growth, venture-backed organization (YC W24) that has raised over $35M to pioneer the development of autonomous "AI employees." Moving beyond the era of simple chatbots and copilots, our client builds digital workers capable of performing end-to-end professional roles—conducting research, managing outbound communications, navigating deliverability infrastructure, and handling complex objection management autonomously.

Currently at $8M+ ARR and scaling rapidly, the organization is seeking its third Applied AI Engineer to join a foundational team. This role is central to pushing the boundaries of autonomous agent behavior and will directly influence the product direction during the development of their next-generation AI platform. The engineering challenges involve managing enormous surface areas and solving complex problems related to multi-step reasoning, real-time adaptation, and human-like interaction.

Key Responsibilities

Technical Trainer (Semiconductor Photolithography)

Location: San Jose, CA (On-site)

Experience Level: Mid-Senior (5+ years)

Job Function: Engineering / Technical Training

Are you a technical expert with a passion for teaching others how things work? We are seeking a Technical Trainer to join our team in San Jose. In this role, you will bridge the gap between complex engineering and hands-on application, developing and delivering comprehensive training on high-end photolithography equipment.

You won't just be behind a lectern; you’ll be in the cleanroom and the lab, ensuring our equipment is operational and our customers—both internal and external—are masters of the technology. This role is a 70/30 split between active training delivery and course development, offering a dynamic environment for someone who loves to stay "hands-on" with hardware while mentoring others.

Key Responsibilities:

Founding Product Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.10% – 0.25% Equity

On-site | Full-time

Our client is a high-growth, YC-backed startup based in San Francisco that is developing the definitive platform for understanding and improving engineering team dynamics. By leveraging modern AI, the organization provides an accurate and actionable view of productivity, impact, and collaboration—moving beyond traditional vanity metrics to focus on better engineering outcomes.

Having secured a $4.2M seed round from top-tier investors, our client has delivered consistent double-digit month-over-month revenue growth and is now looking to expand the core team. As a Founding Product Engineer, the successful candidate will play a pivotal role in defining both the product direction and the technical foundation of the company. This is a rare opportunity to join at the ground floor and influence how millions of engineers and leaders understand their work.

Key Responsibilities

Founding ML Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.20% – 1.00% Equity

Our client is a high-growth, YC-backed startup based in San Francisco seeking a Founding ML Engineer to help redefine how engineering output is measured and optimised. This organisation is building a definitive platform that leverages modern AI to provide engineering teams with an accurate, actionable view of productivity, impact, and collaboration.

The company has secured a $4.2M seed round from top-tier investors and has demonstrated consistent double-digit month-over-month revenue growth. This role offers a rare opportunity to join at the ground floor and develop the machine learning systems that will shape how millions of engineers and leaders understand their work. The Founding ML Engineer will work directly with a CTO (MIT alum and former founding engineer) and a CEO with a proven track record of scaling startups from $0 to $30M in ARR.

Key Responsibilities

Founding GTM Engineer

Location: San Francisco, CA (In-person)

Compensation: $100K – $140K • 0.01% – 0.10% Equity

We are building the premier software platform designed to help elite engineering teams move faster. Trusted by over 150+ high-growth customers and backed by a $4.2M seed round from top-tier investors (including Y Combinator), we have maintained double-digit month-over-month growth since mid-2025.

As our Founding GTM (Go-To-Market) Engineer, you will be the bridge between our technical product and our customers. This is a rare "ground floor" opportunity to work directly with our CEO (who scaled multiple teams from $0–$30M ARR) and our CTO (formerly a founding engineer at a successful startup). You aren't just selling; you are shaping how millions of engineers and leaders understand their work.

What you’ll do:

Founding AI Engineer

Location: San Francisco, CA (In-person)

Compensation: $150K – $200K • 0.10% – 0.25% Equity

We believe that the way engineering output is measured today is fundamentally broken. Our mission is to build the definitive platform for understanding and improving how engineering teams work. By leveraging modern AI, we provide teams with a far more accurate and actionable view of productivity, impact, and collaboration—moving beyond vanity metrics and surveillance toward better engineering outcomes.

As our Founding AI Engineer, you will be responsible for building the intelligence that understands the nuances of software engineering work. You aren't just implementing models; you are building the processes and standards that will define our technical foundation. You will work directly with our CTO (MIT alum, founding engineer background) and CEO (experienced sales leader) in a high-intensity, $4.2M seed-funded environment.

Key Responsibilities:

Forward Deployed Engineering Manager

Location: San Francisco, CA (In-person)

On-site | Full-time

Compensation: $150K – $225K • 0.05% – 0.25% Equity

Visa: Will Sponsor

Our client is a high-growth, YC-funded startup in San Francisco building a definitive platform to redefine how engineering teams understand and improve their work. By leveraging modern AI, the organization provides an accurate and actionable view of productivity, impact, and collaboration, moving beyond traditional vanity metrics.

Currently trusted by over 150 customers and experiencing consistent double-digit month-over-month revenue growth, the company has secured a $4.2M seed round from premier venture capital firms. Our client is seeking an exceptional Forward Deployed Engineering Manager to join the core team. This individual will serve as a bridge between the customer and the product, ensuring that users derive maximum value from the platform while directly influencing the company's roadmap and strategy.

Key Responsibilities