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Fireworks AI

Customer Trust Specialist

Fireworks AI is hiring a Customer Trust Specialist for a remote role open to applicants in United States. It pays $190k-$210k a year and Level rates it ; you can apply on Fireworks AI.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include PyTorch.
  • Level lists 94 other open roles at Fireworks AI.
  • The role was posted in the last few days.

AI in this role

PyTorch

About Us:

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.

About the role

We're looking for a Customer Trust Specialist to own the customer-facing side of our trust program. Where our GRC team keeps the compliance engine running behind the scenes, you'll be the one customers actually interact with, turning our security, privacy, and AI-governance posture into answers that earn and keep trust. You'll own security questionnaires end to end, drive our trust automation platform, and represent the program on customer calls and in contract negotiations. This is a great fit for someone who knows the security-review process cold and wants to shape how a scaling AI company answers for its controls.

What you'll do

  • Own security questionnaires end to end: intake, scoping, drafting, review, and delivery for customer security assessments, RFPs, and vendor evaluations across our enterprise pipeline, in whatever format they arrive (OneTrust, spreadsheets, portals, email).

  • Run our trust automation platform: operate and improve the system that generates answers from our governed knowledge base, with deterministic guardrails that enforce accuracy, protect confidentiality, and never over-claim. You'll judge answer quality, tune retrieval, and keep the guardrails honest.

  • Maintain the knowledge base as a living source of truth: keep answers current as the platform, contracts, certifications, and our control environment evolve; ingest new evidence (SOC 2, ISO 27001/27701/42001, HIPAA, penetration tests); and retire stale facts before they reach a customer.

  • Handle one-off customer requests: evidence requests, Trust Center access, point questions from account teams, and anything that does not fit a questionnaire but still shapes a customer's confidence.

  • Join customer calls: represent the security and trust program on prospect and customer calls, fielding architecture, privacy, and AI-safety questions alongside Sales and Solutions; partner closely with the sales team from intake through close, so security and trust are embedded in the deal rather than a last-mile gate.

  • Partner on contracts: work with Legal and Deal Desk on security, privacy, and AI terms in DPAs and MSAs; translate between a customer's redline and what our controls actually say; know which positions are standard and which need escalation.

  • Keep the program honest: apply the standing rules that protect us and our customers: state only our standard position, never reference another customer's ask or situation, and escalate anything that needs Legal, Security, or Engineering sign-off before it leaves the building.

  • Turn program data into action: track where the knowledge base gaps are, which questions we cannot yet answer well, and where automation is saving or costing time, and report that to leadership.

  • Curate and maintain our public security and trust artifacts: keep the Trust Center, security whitepapers (including the Model Security and Safety Assurance whitepaper), and supporting evidence current and aligned with what we actually do; you are responsible for the external-facing story, not just the internal record behind it.

How the role will grow

As you build context on our platform and customers, you'll take on broader ownership of the trust program:

  • Program growth: shape the direction of trust automation, where the engine should answer next, which frameworks and AI-assurance standards (ISO 42001, NIST AI RMF, EU AI Act) the knowledge base needs to cover, and how the program scales with deal volume.

  • Cross-functional influence: work with Product, Engineering, Legal, and Sales to make our security and AI-safety posture a genuine differentiator rather than a checkbox.

  • Mentorship: set the bar for answer quality and rigor for the team, and help build the playbook for how Fireworks earns customer trust as we grow.

What we're looking for

  • 5 to 7 years of experience in customer-facing security, trust, or GRC roles: security assurance, customer trust, vendor security review, sales engineering with a security focus, or similar.

  • Deep familiarity with security questionnaires and the customer security-review process, across formats (CAIQ, SIG, custom spreadsheets, OneTrust and similar portals) and frameworks (SOC 2, ISO 27001/27701/42001, HIPAA, GDPR, NIST).

  • Comfort reading and discussing contracts (DPAs, MSAs, BAAs) and translating between a customer's legal language and a company's actual security posture.

  • Strong written communication; you can turn a control requirement into a clear, accurate answer a customer trusts, and you know the difference between answering a question and over-answering it.

  • Comfort with cloud environments (AWS, GCP, or Azure) and SaaS architectures; you can discuss multi-tenancy, isolation, encryption, and data flows credibly with a technical buyer.

  • Experience with or strong interest in trust-automation and AI-assisted tooling; you are excited about a program that uses its own platform to answer for itself, and you understand that automation needs guardrails.

  • A precise, detail-oriented mindset; you catch the answer that is almost right, and you treat a customer-facing representation as something that has to be true, not just plausible.

  • A collaborative, low-ego approach; you work across Legal, Sales, Engineering, and Security as a partner, and you know when to escalate rather than answer.

  • Bonus: familiarity with AI/ML platforms, LLM inference, or AI governance concepts (model training data, zero data retention, content guardrails, EU AI Act).

Why Fireworks?

  • Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.

  • Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.

  • Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.

  • Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.

Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.

How we rate this

Customer Trust Specialist at Fireworks AI rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

PyTorch

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Describe a typical day in a role like this one: which parts run through AI directly?
  3. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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