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Reka

Member of Sales Staff

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Remote from
USA
Salary
Undisclosed
Department
Sales
Employment
Full Time
Experience
Senior
Published
Apply before
26 Nov 2026
Listing views
59
Application actions
1
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AI Summary

The role, at a glance.

Reka is hiring an early sales team member to own complex, full-cycle enterprise sales for its generative AI and model-infrastructure products. The role covers prospecting, technical discovery, proof-of-concept support, negotiation, closing, pipeline management, and forecasting. The successful candidate will work closely with Applied AI, Product, Research, and company leadership on strategic opportunities. Strong technical fluency in model inference, APIs, fine-tuning, compute infrastructure, or AI capacity sales is important. This is a high-autonomy role in a remote-first, early-stage foundation-model startup serving US-based hiring eligibility.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThe position combines quota-carrying full-cycle sales with technically sophisticated AI infrastructure conversations and early-stage process building. Success requires independently progressing complex deals while translating between developers, ML leaders, and executives.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$150,000
US market range (per year)$110k–$200k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The annual USD figures are estimated US-market base-salary ranges for a mid-level technical AI infrastructure sales role; annual cadence is inferred from the full-time US professional role context.

Core skills

Skills and capabilities most closely associated with this opportunity.

Full-cycle salesEnterprise salesBusiness developmentTechnical discoveryAI infrastructureModel inferenceAPI integrationProof of conceptPipeline managementSales forecastingContract negotiationStrategic account managementGenerative AIExecutive communication
Sample interview questions
How would you run discovery for a prospect evaluating an AI model platform?

I would identify the prospect's target use cases, model quality requirements, data and security constraints, current architecture, expected usage volumes, buying process, and success metrics. I would then connect those requirements to a focused technical evaluation plan and agree on clear business and technical next steps.

Describe how you would manage a technical proof of concept with internal technical teams.

I would establish a joint success plan that defines the use case, stakeholders, timeline, evaluation criteria, required integrations, and decision process. I would maintain regular checkpoints, remove commercial or coordination blockers, and ensure the results are translated into an executive-ready business case.

How do you maintain a reliable sales forecast in an early-stage company?

I qualify opportunities against explicit customer pain, access to decision-makers, technical validation, commercial process, budget, and timing. I keep CRM data current, distinguish committed deals from upside, document risks, and communicate forecast changes early with evidence.

How would you explain model inference infrastructure to a non-technical executive?

I would focus on outcomes: reliable and fast AI features, predictable operating costs, scalable usage, and lower engineering burden. I would avoid unnecessary technical detail while explaining how performance, capacity, and integration choices affect customer experience and business economics.

Tell us how you would build sales process when there is limited existing playbook.

I would start by documenting patterns from early customer conversations, including personas, objections, qualification signals, messaging, and deal stages. I would test repeatable approaches, measure conversion points, share learnings with leadership, and evolve the process without adding unnecessary bureaucracy.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

As a Member of Sales Staff, you will:

  • Own a book of prospective accounts end to end: prospecting, discovery, technical evaluation support, negotiation, and close

  • Run discovery calls to understand a prospect’s model usage, infrastructure constraints, and business goals, and map those needs to Reka’s product

  • Partner closely with Applied AI, Product, and Research to support technical evaluations, proofs of concept, and benchmarking exercises

  • Build and manage an accurate pipeline, and forecast reliably to leadership

  • Represent Reka at demos, meetups, and industry events as a credible voice on generative AI and model infrastructure

  • Work directly with leadership on strategic or complex deals given the size of the team

  • Help shape early sales process, positioning, and playbooks as one of the first dedicated sales hires

You may be a good fit, if you have:

  • 3+ years of experience in sales, business development, or a customer facing technical role, selling to technical buyers or within AI, infrastructure, or developer tools

  • A track record of running full cycle deals and closing new business, not just generating pipeline

  • The ability to speak credibly about model inference, API integration, fine tuning, or compute infrastructure, or a demonstrated ability to get up to speed quickly on deep technical material

  • Big plus: prior experience selling AI compute or inference capacity (GPU clusters, model serving, or usage based infrastructure), you understand the buying motion around capacity commitments, utilization, and pricing

  • Comfort operating with a high degree of autonomy at an early stage company with limited process

  • Strong written and verbal communication, and the judgment to tailor a message for a developer, an ML lead, or an executive

  • Genuine curiosity about AI and where the market is heading

Reka’s Mission

Reka’s mission is to build useful multimodal artificial intelligence and use it to empower organisations and businesses. We are a globally distributed foundation model startup, headquartered in the San Francisco Bay Area, California. Embracing a remote-first approach, our team brings together top talent from around the world. Our founding team, along with many of our team members, has contributed to many of the breakthroughs in AI over the past decade.


Why Reka?

  • An Elite Team: Collaborate with top-tier engineers, researchers, operators from renowned organizations like Google DeepMind and Facebook AI Research (FAIR) and successful startups, driving innovation in cutting-edge AI technology.

  • Massive Market Opportunity: Be part of a rapidly growing industry poised to transform multiple sectors globally, offering the chance to make a significant impact.

  • Mission-Driven Environment: Work alongside a collaborative, mission-focused team dedicated to advancing AI for meaningful applications.

  • Inclusive and Open Culture: Thrive in an open and inclusive work environment that values diverse perspectives and fosters creativity.

  • Generous Benefits: Enjoy 5 weeks of paid leave to recharge, comprehensive healthcare benefits including vision and dental, and additional perks that support your well-being.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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