资深工程师，AI运营

**About Ontra**

Ontra is the leader in AI-powered solutions for the private markets. Powered by industry-leading AI, data from over 2 million contracts, and a global network of legal professionals, Ontra automates critical private market workflows across the fund lifecycle. Ontra’s solutions transform unstructured data trapped in static documents into actionable intelligence, enabling firms to accelerate contracts, streamline compliance, and automate entity management. Trusted by more than 1,000 global GPs, investment banks, law firms, and advisors – including nine of the top ten PEI-ranked firms worldwide – Ontra helps firms focus on what’s important.

**Our Culture**

Ontra is built for people who want real ownership from day one in a remote-first environment that’s built to support it. Our customers are sophisticated, and our work reflects that. AI is engrained in how we work, and curiosity about it is part of who we are.

Ontranauts are sharp, genuinely collaborative, and invested in each other's success. They are excellent at what they do and even better to work with. That combination is rare, and we don't take it for granted. Learn more about [our values](https://www.ontra.ai/careers/#our-values).

**About the Role**

For this job, we are currently only hiring candidates based in the United States.

Ontra is seeking a **Staff Engineer, AI Operations,** reporting to our Director of AI Operations. As the first engineer dedicated to the function, this person will have broad company impact while remaining hands-on.

We're looking for someone excited to serve as the technical lead for company-wide Internal AI work, partner with business and technical owners to choose the right response to priority problems, build and operate dependable AI Operations-owned solutions, and collaborate with AI engineers across GTM, Finance, Build, and other teams on architecture and review.

If you're someone who brings sound technical and business judgment, designs practical architecture without overbuilding, treats production ownership as part of the job, leads cross-functionally without relying on reporting authority, exercises strong security and data judgment, and communicates tradeoffs clearly, we'd love to get to know you.

**What You'll Do**

- **Set Technical Direction for Internal AI:** Evaluate technical options for prioritized Internal AI work and recommend the architecture, integrations, and delivery approach. Recommend, with the accountable business and technical owners, whether to use an existing Ontra capability, configure or buy a vendor product, build something new, or not proceed.

- **Design and Deliver Dependable, Reusable Systems:** Architect, build, and operate selected services, agents, integrations, and automations for agreed Internal AI priorities. Use existing platforms and vendor capabilities where they fit and turn recurring needs into reusable patterns other teams can adopt.

- **Partner Across the Business:** Work closely with business and technical owners across GTM, Finance, Build, and other teams to assess problems, align on approach, and move decisions forward.

- **Lead Through Technical Partnership:** Shape cross-system architecture decisions and guide design and code review for Internal AI work. Partner with relevant technical owners, including Infrastructure, Data, Security, and IT when work touches their platforms or authority, and help other engineers and advanced builders improve without relying on management authority.

- **Support Trusted Company Context:** Assess and implement selected interfaces and integrations that help approved AI systems use reliable company data and knowledge while preserving source permissions and ownership.

- **Own Production Reliability:** Ensure every service you ship has qualified review, a named owner and backup, documentation, monitoring, recovery steps, and a maintenance plan.

- **Deliver Against Milestones:** Own the technical assessment, design, implementation, and operation of agreed Internal AI priorities, meeting quality, reliability, recovery, usage, and cost targets along the way, with the telemetry and cost attribution needed to evaluate performance.

**What You'll Bring**

- **Experience:** 8+ years of software engineering experience, with demonstrated Staff-level scope and impact across teams or systems; hands-on experience delivering production AI systems is required.

- **Staff-Level Technical Leadership:** A track record of setting technical direction across multiple teams, systems, or business areas, with clear evidence of scope over tenure or title.

- **Production AI Ownership:** Experience shipping and operating at least one production AI-enabled system, including evaluation, reliability, data, cost, and post-launch ownership.

- **Systems and Integration Design:** Experience designing internal services, agents, APIs, integrations, automations, or data flows across system boundaries, with working production knowledge of identity, authorization, testing, deployment, monitoring, incidents, and recovery.

- **Design and Code Review:** Ability to assess unfamiliar systems and provide strong design and code review across technical boundaries.

- **Hands-On Engineering:** Strong hands-on production software engineering skills; recent Python experience is preferred. SQL and data validation experience is a plus.

**Hiring Locations**

We currently hire exclusively in the locations listed below. Select jobs may have more specific location requirements due to business needs.

**United States**

_Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Kansas, Maryland, Massachusetts, Minnesota, Nevada, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington_

**APAC**

_Hong Kong_

**EMEA**

_United Kingdom_

**Benefits Snapshot**

- Remote-first working policy, with office hubs in NYC, Santa Barbara, and London

- Twice yearly team offsites for in-person collaboration

- Paid flexible time off policy

- Paid parental leave and benefits

- Employer-supported retirement contributions, varying by country

- Monthly phone and internet reimbursement

- Company-sponsored learning and development resources, department budgets for professional development, and a robust onboarding program

- Various options for medical, dental, and vision insurance

**Travel**

Occasional travel is required for Ontra employees, including typically at least twice per year to attend team and larger group off-sites for in-person collaboration. For some roles, additional travel may be required based on the requirements of the role and business need.

**Inclusivity**

Ontra is committed to the full inclusion of all qualified individuals. As part of this commitment, Ontra will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact people@ontra.ai.

**Personnel Privacy Notice:** [View here.](https://drive.google.com/file/d/1F2P-ne2wJt6kyi9HCuKny8vXOIP6G-2q/view)

_Note on Employment Verification: All employees hired will be required to verify identity and eligibility to work in their particular location._

_Note to External Agencies: We are not accepting any blind submissions or resumes/CVs from recruitment agencies. Any candidates sent to Ontra will NOT be accepted or considered as a submission without a signed agreement in place._