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Sales Engineer

Alembic

Alembic

Sales & Business Development
San Francisco, CA, USA
Posted on Jul 12, 2025

About Us

Alembic is where top engineers are solving marketing's hardest problem: proving what actually works. If you're looking for frontier technical challenges at an applied science company, this is the place.

At Alembic, we're not just building software, we're decoding the chaos of modern marketing. Join Alembic to build trusted systems that Fortune 100 companies use to make multimillion dollar decisions.

We're backed by leading tech luminaries including WndrCo (founded by DreamWorks founder Jeffrey Katzenberg), Jensen Huang, Joe Montana, and many more.

About the Role
We're looking for a Sales Engineer to lead the POC process for our data, cloud, and AI solutions for marketers. You will analyse customer needs, prepare data, and deliver impactful reporting that validates value and successfully moves the sales process to close. This role reports to the Vice President of Sales and is based in San Francisco (Onsite).

What You'll Do

  • Design and execute POCs that demonstrate Alembic's value, progressing deals to close

  • Analyse customer needs and requirements for tailored solutions

  • Prepare and process customer data to build accurate POC reporting

  • Deliver compelling presentations of POC results to customer stakeholders

  • Collaborate with Enterprise AEs and Product to align solutions with objectives

  • Contribute to scalable POC processes and best practices

What Will Help You Succeed

  • 3-5 years in Sales Engineering or similar pre-sales technical roles in B2B SaaS, data, cloud, or AI

  • Proven track record leading successful POCs that closed deals

  • Strong data analysis skills, with ability to prepare and process data

  • Proficiency in Python and/or other scripting languages for data preparation and quality-testing

  • Experience with data platforms, cloud infrastructure, or AI solutions

  • Excellent communication and presentation skills

  • Strong problem-solving mindset

  • Collaborative and proactive approach

  • Ability to travel as needed (~20%)

  • Experience delivering POCs for data, cloud, or AI in marketing contexts

  • Background as a data analyst or business analyst

  • Familiarity with enterprise procurement and security review processes

  • Startup or high-growth environment experience

  • Formal technical certifications such as AWS or GCP

  • Ability to create scalable POC templates and reusable scripts

  • Experience working with marketing customers

  • Previous startup or founder experience

  • Advanced technical training or certifications in AI/ML

  • Experience contributing to product feedback loops

  • Exposure to value engineering or ROI modelling

The role is right for you if:

  • You're an experienced sales engineer ready to demonstrate cutting-edge AI technology. This role offers the opportunity to prove transformational value to Fortune 500 marketing teams through hands-on technical work.

  • You want to build something that is both technically challenging and solves a real customer need. You want a role with major upside that tackles a massive market opportunity.

Why You Might Be Excited About Alembic

  • High-impact deals with elite clients: You'll demonstrate breakthrough technology to Fortune 100 companies making multimillion-dollar marketing decisions - POCs that matter and clients that move the industry

  • Product that sells itself: You're not pushing features - you're demonstrating 10-100x performance improvements that make prospects say "how is this possible?"

  • First-mover advantage: You'll be proving something that's never existed before, giving you a massive competitive edge in every technical conversation

  • Significant upside: Early-stage equity opportunity with proven product-market fit and enterprise traction

Why You Might Not Be Excited

  • You prefer demonstrating established, commoditized products with well-defined playbooks over breakthrough technology that requires consultative technical selling

  • You want fully built-out POC processes rather than helping define and refine our technical demonstration approach

  • You prefer static technical demonstrations over dynamic opportunities that adapt to market feedback and your strengths