Senior AI Engineer

United States Digital Space LLC

San Francisco (CA)

On-site

USD 160,000 - 230,000

Full time

14 days+

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Benefits offered by this job

Medical, Dental & Vision insurance
401(k) with employer match
Flexible time off
Parental benefits

Job summary

United States Digital Space LLC seeks a Senior AI Engineer to advance its AI products and the platforms they’re built on. You will balance deep technical work with product judgment, shipping AI capabilities relied upon by customers and internal teams.

This role is both visionary and hands-on, setting patterns, evaluating trade-offs, and shaping the long-term AI roadmap with a customer-centric focus.

Qualifications

  • 3+ years of software engineering, with 2+ years building production LLM or applied AI systems.
  • Experience designing and scaling AI products, platforms, or developer tools with real users.
  • Strong product sense and systems thinking; ability to prototype, harden, and invest in durable infra.

Responsibilities

  • Ship high-impact AI features and products that change how customers and internal teams work.
  • Design and build the foundational infrastructure behind AI systems: orchestration, evaluation, retrieval, context management, and integrations.
  • Identify high-leverage opportunities by deeply understanding user workflows and AI capabilities.
  • Establish reusable patterns, primitives, and components for reliable AI features.
  • Drive adoption and quality through collaboration with product, design, and GTM teams.

Skills

Software engineering
Production AI systems
LLM & AI frameworks
Product thinking

Tools

Model APIs
Agent frameworks
Evaluation tools
Retrieval systems

Job description

the company is the leading AI analytics platform, helping over 4,700 customers -including Atlassian, Burger King, NBCUniversal, and Square -build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories in G2's Winter 2026 Report, the company is the best-in-class solution for product, data, and marketing teams. Learn more at the company.com.

As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do.

the company's Commitment to Diversity Equity & Inclusion (DEI):
About the Role

We're looking for a Senior AI Engineer to help advance the company's AI products and the foundations they're built on. As AI reshapes how customers analyze data, build products, and act on insights, we need engineers who can move fluidly between deep technical work and product judgment, shipping AI capabilities that customers and internal teams actually rely on.

This role is both visionary and hands-on. You'll identify where AI creates the most leverage, build the systems that deliver it, and establish the patterns that let the rest of the company build faster on top of your work. You'll contribute to customer-facing AI products, the platform infrastructure beneath them, and the internal tooling that helps the company operate as an AI-native company.

What You'll Do
  • Ship high-impact AI features and products that change how customers and internal teams work, from agentic workflows to embedded intelligence across the the company platform
  • Design and build the foundational infrastructure behind the company's AI systems: orchestration, evaluation, retrieval, context management, and integrations with the broader product ecosystem
  • Identify high-leverage opportunities by deeply understanding user workflows, customer pain points, and emerging capabilities in the AI ecosystem
  • Establish reusable patterns, primitives, and components that enable other engineers to build AI features confidently and consistently
  • Drive adoption and quality through close collaboration with product, design, and customer-facing teams, with a relentless focus on real usage and measurable outcomes
  • Set technical direction for AI systems at the company, making thoughtful build vs. buy calls, shaping evaluation strategy, and influencing the long-term roadmap
Who You Are

You're a highly capable engineer with a strong track record of shipping AI-powered systems that people actually use. You bring deep technical instincts, strong product sense, and a forward-thinking view of where AI is heading.

Experience & Skills
  • 3+ years of software engineering experience, with 2+ years building production LLM or applied AI systems
  • Experience designing and scaling AI products, platforms, or developer tools with real users and real reliability constraints
  • Deep familiarity with the modern AI ecosystem: model APIs, agent frameworks, evals, retrieval, prompting, tool use, and the tradeoffs between them
  • Strong product sense and systems thinking; you know when to prototype, when to harden, and when to invest in durable infrastructure
  • Excellent communicator and collaborator, able to drive alignment across engineering, design, product, and go-to-market
How You Think & Work
  • Leverage mindset: You see AI as a way to reshape how teams and customers think, plan, and execute, not just a feature to bolt on
  • Context is key: You understand that AI is most powerful when grounded in real data, workflows, and decisions
  • Vision leads utility: You listen closely to users and customers, but you also anticipate their needs and lead with creative, forward-looking solutions
  • Build to learn: You favor fast iteration, usage-based validation, and continuous improvement over upfront perfection
What Sets You Apart
  • Highest-leverage problem identification: You consistently spot the highest-value opportunities and use data to focus effort where it matters most
  • Systems thinking: You see across disparate tools, data sources, and teams, and connect them into cohesive, contextual AI-powered experiences
  • Hands-on design and implementation of agentic systems: You design and ship robust agentic workflows with strong context handling, orchestration, tool use, and evaluation
  • Build vs. buy judgment: You know when to adopt existing solutions and when to build from scratch
  • Driving adoption & evangelism: You get capabilities into users' hands, onboard them effectively, and evolve based on feedback
  • Product thinking: You blend technical execution with product intuition to build AI experiences that people genuinely love to use
Our values:

At the company, our values guide how we show up for one another and for our customers:

  • Humility: We operate from a place of empathy and openness, seeking to understand many points of view.
  • Ownership: We take the initiative to solve problems that drive our shared company success.
  • Growth Mindset: We're tenacious in the face of challenges and seek feedback in order to grow ourselves and others.
  • Customer Centricity: We put the customer at the center of everything we do and are deeply committed to their success.
We care about the well-being of our team:

Some of our benefit programs include:

  • Excellent Medical, Dental and Vision insurance coverages, with 100% employer-paid premiums for employee Medical, Dental, Vision on select plans
  • 401(k) retirement plan with an employer match of up to 1% of your eligible pay each pay period up to $2,000 annually
  • Flexible time off, paid holidays, and more
  • Generous stipends to spend on what matters most to you, whether that's wellness (monthly), commuter transit/parking (monthly), learning and development (quarterly), new hire home office equipment, and much more
  • Excellent Parental benefits including: 12 weeks of Paid Parental Leave, Carrot Fertility Benefits/Adoption/Surrogacy support, Back-up Child Care support
  • Mental health and wellness benefits including no cost employee access to Modern Health coaching & therapy sessions
  • Employee Stock Purchase Program (ESPP)
Other fun facts about the company:
  • Our customers love us! They've said we're the #1 product analytics solution for 23 quarters in a row on G2.
  • We care a lot about product innovation. We've made significant investments in talent and infr
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