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Open nowFirst seen 18 hours ago

Technical Account Manager

Jenn Nguyen and Friends11 open roles

Where
San Francisco, California, United States
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Your applicationOpen nowTechnical Account ManagerJenn Nguyen and Friends · San Francisco, California, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Jenn Nguyen and Friends's own form.

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The clock on this job

Early applications get read.

11.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.2%3 days
  3. 11.3%7 days
  4. 17.6%14 days
  5. 34.3%30 days
  6. 43.5%60 days
This job: first seen 18 hours ago

The posting

Technical Account Manager (Enterprise SaaS / AI Platform)

Compensation: $120K–$180K base (varies by level and interview performance) + equity

Location: San Francisco, CA

Hiring Target: 1

Work Policy: 5 days/week in-office

Sponsorship: TN and OPT visa transfers supported

Stage: Seed-stage startup | $3.1M raised | YC-backed | Exclusive search

Who Are We?

Were a YC-backed startup building AI agents that operate across billions of events daily to protect millions of users from fraud, scams, abuse, and platform risk. Our unified API powers Trust & Safety teams at Fortune 500 companies and top-tier unicorns.

Built by engineers from leading safety and anti-abuse teams, were growing revenue rapidly and scaling our Customer Success function to support increasingly sophisticated enterprise deployments.

What's in It for You?

Work directly with enterprise customers solving real-world AI and data challenges.

Become a product expert at the intersection of AI, data, and customer strategy.

Join a fast-growing seed-stage company with meaningful equity upside.

Competitive base salary plus equity.

Platinum-level medical, dental, and vision insurance.

Unlimited PTO, parental leave, and wellness reimbursement.

Free lunch and dinner in-office.

401(k) plan.

What Will You Do?

Serve as the primary technical point of contact for enterprise customers post-deployment.

Understand complex customer architectures, APIs, data pipelines, and monitoring systems.

Drive technical adoption and optimization of the platform.

Pull and analyze customer data (SQL-heavy) to measure performance and impact.

Support Customer Success Managers with product expertise and technical insights.

Diagnose and resolve complex post-integration technical issues.

Build scalable documentation, knowledge base content, and best-practice guides.

Act as the technical feedback bridge between customers and product/engineering teams.

Proactively monitor customer deployments and surface optimization opportunities.

What Will You Need?

3+ years in a Technical Account Manager, Solutions Engineer, or highly technical Customer Success role within B2B SaaS.

Strong enterprise customer experience.

Solid SQL proficiency (strong preference).

Experience working with complex SaaS platforms, APIs, and data pipelines.

Ability to translate technical concepts to both technical and non-technical stakeholders.

Strong analytical and problem-solving skills.

Comfort operating in a fast-paced startup environment.

Strongly Preferred

Experience working with AI/ML systems or policy configuration tools.

Growth-stage startup experience.

Bachelors degree in Computer Science, Engineering, or related technical field.

Background at top-tier companies or strong academic pedigree.

Sales Engineers or enterprise-facing CSMs with strong technical depth are encouraged.

Must Not Have

Job hopping history.

Unexplained employment gaps.

Consulting-only background.

Primarily customer support background without technical depth.

Long-time senior executives returning to junior IC roles.

Role Profile

Junior-to-mid level preferred (not senior).

No programming-heavy engineering background required.

Highly analytical, customer-facing, product-oriented role.

Strong fit for technically sophisticated TAMs supporting complex data-driven products.

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