Sierra · Infrastructure · Posted 2026-06-02
Software Engineer, Payments Infrastructure
Sierra · San Francisco, CA · $230k–390k base
This range's midpoint is above 87% of posted infrastructure ranges at AI companies right now. Compare it with every posted range at Sierra by level, and at 281 other AI companies, in the AI Salary Report, US$29 once, or see the free salary index.
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ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
The Payments Infrastructure team builds the trust boundary between a live conversation and the rest of Sierra: sensitive data enters through a customer's voice or chat, leaves as a token, and the agent never sees the plaintext in between. Doing this well means weaving four hard domains together at once: LLMs, payments, infrastructure, and voice. Done right, it unlocks seamless, compliant payments for every Sierra agent and the people who use them. It's already one of the highest-containment features Sierra ships: when an agent can take a payment, the conversation keeps going instead of transferring to a person, so the agent resolves everything around it too. The platform is PCI DSS Level 1, on Visa's Global Registry, and carries cardholder data across millions of payment lifecycle events for enterprise customers.
- Design the secure-capture protocol every channel sits behind, so the payment feels like one continuous conversation to the person on the other end, while telephony providers, contact-center platforms, embedded chat, and Sierra's own voice stack all present a single event lifecycle to agent code, no matter how different each customer's stack is.
- Build and extend the tokenization platform: per-token envelope encryption with a unique data key per token, so a single compromised decrypt exposes one token at most.
- Own the security perimeter around the cardholder-data environment, so what each system can reach is enforced by infrastructure rather than convention, and auditable by design.
- Build deterministic, auditable detection in the agent's hot path that catches the cardholder data general-purpose models miss, and help design the purpose-built detection model that comes next. No LLM, including any we build ourselves, ever sees plaintext cardholder data.
- Make payments something other engineers can use without becoming compliance experts: drive the platform toward processor-agnostic charging, self-serve onboarding, and single-tenant deployments, so a team can add payments to an agent without a payments infrastructure engineer in the loop.
- Set technical direction across the team's hardest problems, get the abstractions right so we solve each one once rather than per customer, and raise the bar for the engineers around you.
WHAT YOU'LL BRING
- 7+ years building backend, platform, or infrastructure systems, with a track record of shipping and operating high-reliability services in production at a strong engineering organization.
- A deep security instinct. You design as though every component will eventually be compromised, and you reason naturally about blast radius, least privilege, and makin …
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See also: Software Engineer jobs · AI jobs in San Francisco Bay Area · Sierra salaries · LLMs jobs · Agents jobs · Salesforce jobs.
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