TL;DR
Senior Account Manager (AI/ML): Drives retention and revenue growth for existing customers by ensuring AI/ML teams achieve meaningful outcomes with the platform with an accent on connecting product adoption to business value and identifying whitespace across organizations. Focus on leading complex renewals, managing multi-threaded expansion and cross-sell motions, and scaling W&B adoption across multiple teams and business units.
Location: Hybrid in San Francisco, Bay Area. Remote work may be considered for candidates located more than 30 miles from an office within the US, based on role requirements for specialized skill sets. This position requires access to export controlled information, therefore applicants must be a US person (US citizen, lawful permanent resident, refugee, or asylee).
Salary: $165,000–$189,000
Company
hirify.global is The Essential Cloud for AI™, delivering a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence.
What you will do
- Own the commercial strategy and outcomes for a portfolio of Enterprise and select Strategic customers.
- Lead complex renewals, manage multi-threaded expansion, and cross-sell motions.
- Scale Weights & Biases (W&B) adoption across multiple teams and business units.
- Run structured commercial workflows including discovery, qualification, value and ROI articulation, pricing, negotiation, and forecasting.
- Maintain detailed multi-year account plans that incorporate whitespace, risks, and growth sequencing.
- Partner closely with Field Engineering to coordinate cross-functional deliverables, lead executive business reviews, and use adoption insights to influence expansion strategy.
Requirements
- 8+ years in B2B SaaS customer-facing roles commercializing technical products.
- 5+ years in a quota-carrying Account Management, Sales, or Renewals role owning commercial outcomes.
- Proven success managing Enterprise or Strategic customers with multi-threaded stakeholder engagement.
- Experience leading complex expansion, cross-sell, POV, and negotiation cycles.
- Strong technical and product curiosity with familiarity in AI/ML, DevOps, or data infrastructure tooling.
- Demonstrated ability to maintain detailed account plans including whitespace mapping, risk tracking, and multi-year growth planning.
Nice to have
- Experience collaborating with Field Engineering, Product, Engineering, or Support in technical SaaS.
- Familiarity with Git, Python, Jupyter, PyTorch, Kubernetes, or cloud platforms (AWS, GCP, Azure).
- Experience supporting or selling to ML, MLOps, DevOps, or data infrastructure teams.
- Background working with AI-native startups, foundation model builders, or Enterprise ML teams.
Culture & Benefits
- Discretionary bonus, equity awards, and a comprehensive benefits program.
- 100% company-paid medical, dental, and vision insurance, plus company-paid life insurance.
- Flexible Spending Account (FSA), Health Savings Account (HSA), and Tuition Reimbursement.
- Ability to participate in Employee Stock Purchase Program (ESPP).
- Mental wellness benefits, family-forming support, paid parental leave, and childcare support.
- 401(k) with a generous employer match and flexible PTO.
- Catered lunch each day in office and data center locations.
- Work culture focused on innovative disruption, entrepreneurial outlook, and continuous learning.
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