Forward Deployed Engineer

Job Description

Job Description

About Taskrabbit:

Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do's, such as furniture assembly, handyman work, moving help, and much more.

At Taskrabbit, we want to transform lives one task at a time. As a company we celebrate innovation, inclusion and hard work. Our culture is collaborative, pragmatic, and fast-paced. We're looking for talented, entrepreneurially minded and data-driven people who also have a passion for helping people do what they love. Together with IKEA, we're creating more opportunities for people to earn a consistent, meaningful income on their own terms by building lasting relationships with clients in communities around the world.

Taskrabbit is a hybrid company with employees distributed across the US and EU and a Built In — Best Places to Work (2022, 2023, 2024, 2025) continually ranked across multiple national and regional categories. Join us at Taskrabbit, where your work will be meaningful, your ideas valued, and your potential unleashed!

This is a hybrid role that will require two days in-office each week on Tuesdays and Wednesdays at our SF location on 130 Sutter Street. 

About the Role

Every business function at Taskrabbit — Marketing, Customer Support, Finance, Operations — is a "customer" with real workflows, real data, and real friction. Your job is to embed with them, scope their use cases, and build the Claude-powered agent, automation, or tool that solves them.

This is an internal-facing role — there is no external customer or product work. Reporting to the Director of AI Strategy and Enablement, you'll operate the way an FDE operates at a high-growth AI company: full ownership of a deployment from discovery through production and direct accountability for whether what you ship actually changes a metric. In most cases you'll own a build end-to-end solo; in some functions you may partner with that team's own subject-matter expert to pair domain depth with technical execution.

We are hiring for engineering depth first. This is not a role for someone whose experience is limited to no-code/low-code automation platforms (Zapier, Make, n8n) without underlying software engineering fundamentals. The bar is: you have personally written, tested, and shipped production code that calls an LLM — ideally Claude — as part of an agent, pipeline, or internal tool, and you can speak fluently to the engineering decisions (not just the workflow decisions) behind it.

What You'll Do

• Discover & scope: Embed with a business function, run structured technical discovery, and turn an ambiguous use case idea  into a scoped build. Build in production: Independently design, write, test, and deploy Claude-powered agents, automations, and internal tools (Claude Code, Claude Cowork, Claude API/Agent SDK, or agentic frameworks built on Claude) — owning the full lifecycle from first commit to something running unattended in production.
• Engineer for reliability, not demos: Make and defend real engineering decisions — model selection, context/caching strategy, evals, human-in-the-loop checkpoints, error handling, cost forecasting — the difference between a working prototype and something that survives contact with real data and real users.
• Measure: Establish a baseline before every build; define the metric that proves impact (time saved, error rate, throughput) and instrument for it from day one.
• Enable: Leave each function more capable than you found it — train non-technical teams to identify and eventually build their own lightweight automations, without creating dependency on this role.
• Influence: Translate between business problems and technical tradeoffs; move skeptical stakeholders from "prove it" to adoption; align priorities with senior leaders and company OKRs.
• Scale patterns: Turn what works in one function into a reusable playbook other teams — and other builders — can pick up.

What We're Looking For

• Production Claude experience (required): 2+ years hands-on building AI agents, automations, or internal tools professionally, with direct, independent, code-level work in Claude Code, the Claude API, Claude Skills/Agent SDK, or an agentic framework built on top of Claude. You should be able to walk us through a system you built, why you made the architecture choices you did, and what broke in production.
• Software engineering fundamentals: Comfortable writing and owning real code — not exclusively configuring no-code/automation platforms. You should be fluent in things like API integration, MCP, version control, testing, and debugging a system you didn't just prototype but actually run.
• Technical judgment: You surface model selection tradeoffs, caching and cost strategy, reliability/failure modes, and human-in-the-loop design without being asked — because you've had to make those calls before and lived with the consequences. You also know when a workflow's data sensitivity should change the build: what a system can safely touch, and what needs scoping, redaction, or a human review step before it does.
• Business partnership: Track record embedding with non-technical teams, running discovery, and converting workflows into scoped builds — including the judgment to say no to AI when it's not the right fix.
• Enablement mindset: You've built capability in other people, not just built things for them.
• High empathy: Adept at sitting with a skeptical or overwhelmed team member long enough to actually understand their workflows, not just extract requirements
• Stakeholder influence: Comfortable presenting to and moving senior leaders and frontline teams alike.
• Impact measurement: Data-driven by default — you define baselines and metrics from scratch and translate results into business terms.
• Builder mindset: Scrappy, self-directed, comfortable operating without dedicated engineering support in a fast-paced, resource-constrained environment.
• Industry (preferred): Marketplace or gig-economy company (e.g., Airbnb, Lyft, DoorDash) or high-growth startup.

Compensation & Benefits: 

At Taskrabbit, our approach to compensation is designed to be competitive, transparent, and equitable. Total compensation consists of base pay + bonus + benefits + perks. The base pay range for this position is $175,000 - $225,000. This range is representative of base pay only, and does not include any other total cash compensation amounts, such as company bonus or benefits. Final offer amounts may vary from the amounts listed above and will be determined by factors including, but not limited to, relevant experience, qualifications, geography, and level.

You'll love working here because:

• Taskrabbit is a Hybrid Company. We value flexibility and choice but also stay committed to regular in-person connection.
• The People. You will be surrounded by some of the most talented, supportive, smart, and kind leaders and teams -- people you can be proud to work with!
• The Diverse Culture. We believe that we make better decisions when our workforce reflects the diversity of the communities in which we operate. Women make up half of our leadership team and our diversity representation is above that of the tech industry average.
• The Perks. Taskrabbit offers our employees with employer-paid health insurance and a 401k match with immediate vesting for our US based employees. We offer all of our global employees generous and flexible time off with 2 company-wide closure weeks, Taskrabbit product stipends, wellness + productivity + education stipends, IKEA discounts, reproductive health support, and more. Benefits vary by country of employment. 

Taskrabbit's commitment to Diversity and Inclusion:

An Active Commitment to Equity within our Company and Platform. We are an inclusive community where all who share our mission and values belong. Our diverse team represents the communities we serve, breaking down systemic barriers, and transforming lives- one action at a time.

Taskrabbit is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, ancestry, citizenship, sex, gender, gender identity, sexual orientation, age, marital status, military/veteran status, or disability status. Taskrabbit is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Taskrabbit will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. 

AI-Assisted Prescreening Notice [US Based Candidates Only] : As part of our hiring process, we may use artificial intelligence tools to assist with the initial prescreening of applications and responses. This tool does not make hiring decisions — every application and response is reviewed by a member of our recruiting team to determine fit for the role. If you would prefer not to have your application processed using this tool, you may opt out by selecting 'opt out' in the application form or by emailing  View email address on ziprecruiter.com, and your application will be reviewed manually with no impact on your candidacy.