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Senior/Staff Product Engineer

Echelon

San Francisco, CAJob$180–250K/yrPosted 1mo agoStill listed today

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At a glance

Compensation
$180–250K/yr
Location
San Francisco, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Echelon is building an AI platform for business operations that connects enterprise data and turns operational context into automated workflows and AI agents. The Senior/Staff Product Engineer will take ambiguous customer problems from conversation to production software across the frontend, APIs, data models, workflows, and AI interactions. The role involves working directly with founders and customers in an early-stage, fast-changing environment and owning shipped systems in production.

Skills & qualifications

RequiredNice to have

Skills

PostgresDatabase Arch/DesignBusiness OperationsTypeScriptHuman ResourcesArtificial IntelligenceFinanceUnstructured DataEarly-StageReact.jsNode.jsMulti Tenant SystemsOntologiesZero-to-One DeliveryReactBackend DevelopmentSQLRelational Data ModelingSchema ChangesPerformance DebuggingDistributed JobsRetriesIdempotencyExternal APIsSecurityTenant IsolationLeast PrivilegeProduct JudgmentAI AgentsTool CallingRAGVector SearchEvaluationSandboxed ExecutionAWSKubernetesHelmS3RDSCustomer-Managed DeploymentsInngestTemporalWorkOSOpenAPIDrizzleEnterprise Operational DataData VisualizationGraph InterfacesCollaborative EditorsWorkflow Builders

Qualifications

4+ Years Production Software ExperienceEarly-Stage 0-to-1 Delivery ExperienceLimited-Process Delivery ExperienceCustomer-Input Shipping Experience

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
401(k) Match
Paid Time Off

Full job description

About Echelon Echelon is building the AI platform for Business Operations. Our goal is to automate the knowledge work of BizOps so one exceptional operator can deliver the leverage of an entire team, as Ramp and Rippling have done for Finance and HR. Our platform combines passive process mining with a living ontology that maps how work happens across people, systems, documents, decisions, and outcomes. It connects structured and unstructured data trapped in fragmented, duplicative, and legacy enterprise systems, then turns that context into automated workflows and AI agents. We are an early-stage company tackling a difficult technical problem at high speed. Engineers work directly with founders and customers, make decisions with incomplete information, ship production systems, and own the results. The pace, rate of change, and standards are high.

The mandate Take ambiguous customer problems from conversation to production software across the frontend, APIs, data model, workflows, and AI interactions. We need an early-stage builder who ships quickly, makes sound tradeoffs, and operates what they build.

What you'll own

  • Ship 0-to-1 product capabilities across React, TypeScript, Node.js, PostgreSQL, and asynchronous workflows.

  • Build clear experiences for exploring processes, relationships, evidence, recommendations, and automated work.

  • Design secure multi-tenant APIs, data models, and migrations.

  • Build agent workflows with tool execution, retrieval, document processing, streaming, and human review.

  • Strengthen shared primitives for authorization, background jobs, storage, observability, and integrations.

  • Work directly with customers to understand operational problems, test assumptions, and iterate in production.

  • Own production performance, failures, and recovery for the systems you ship.

  • Set a high engineering bar through focused tests, direct review, and simple durable architecture.

What you bring

  • 4+ years building production software, including proven 0-to-1 delivery at an early-stage company or similarly ambiguous environment.

  • Experience shipping with limited process, shifting requirements, and direct customer input.

  • Strong TypeScript, React, and backend service development in Node.js or a similar environment.

  • Strong SQL and relational data modeling, including safe schema changes and performance debugging.

  • Experience with distributed jobs, retries, idempotency, and external APIs.

  • Strong instincts for security, tenant isolation, and least privilege.

  • Product judgment: you can simplify a workflow, challenge a requirement, and decide what should not be built.

  • Comfort with a high rate of change, direct feedback, and full accountability for outcomes.

Useful experience

  • AI agents, tool calling, RAG, vector search, evaluation, or sandboxed execution.

  • AWS, Kubernetes, Helm, S3, RDS, or customer-managed deployments.

  • Inngest, Temporal, WorkOS, OpenAPI, or typed ORMs such as Drizzle.

  • Enterprise operational data across finance, people, contracts, projects, or collaboration systems.

  • Complex data visualization, graph interfaces, collaborative editors, or workflow builders.

Benefits

  • Team lunches and dinners in the office.

  • On-site Gym access for all employees.

  • Fully covered health, dental, and vision insurance.

  • 401(k) plan.

  • Access to AI Tooling of your choice.

  • Unlimited PTO.

How this job compares

Set against the 1,403 open Product Engineer jobs on Olive Jobs, counted October 30, 2026.

Pay
  • This posting$180–250K/yr
  • California median$158–250K/yr371 salary ranges
  • US median$150–238K/yr951 salary ranges

This range's midpoint, $215K, is 8% above the California median midpoint ($200K) — in the middle half of Product Engineer salary ranges in California.

Openings
Olive Jobs lists 513 open Product Engineer jobs in California and 1,403 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 4 years of experience; Product Engineer postings that state a minimum ask for 5 years at the median (1,065 postings).
Education
539 of the 1,403 open Product Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 30, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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