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Invert

Solutions Engineer

Posted 6 months ago
5-10 years experience
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AI Summary

Act as the technical partner to sales by translating bioprocess workflows into tailored product stories through demos and pilots. Collaborate with Account Executives on deal strategy and provide feedback to the Product team to improve reference architectures.

What we're building

Drug development is one of the most data-intensive endeavors in history, yet scientists spend more time finding and cleaning data than using it. Bioprocess data is high-frequency, multi-source, and scattered across systems that rarely talk to each other. We make it usable, and our AI agent lets scientists query their full experimental history, catch deviations in real time, and inform million-dollar manufacturing decisions.

The role

You'll be an early member of the CX team. You're the technical partner to sales; the person who walks into a prospect engagement, translates their bioprocess workflows and IT landscape into a tailored Invert story, and proves it through demos, workshops, and pilots.

This is a place for builders — people who want to own hard problems, ship fast, and work with others who hold themselves to a high bar.

What you'll do

  • Partner with AEs on deal strategy: discovery, technical narrative, path to selection

  • Build and deliver tailored demos grounded in the prospect's own data and workflows

  • Run technical workshops and POCs that validate fit and build internal champions

  • Establish credibility with senior scientific and IT leaders (Process Development, MSAT, IT)

  • Feed prospect needs back to Product; build reusable demos and reference architectures the CX team can leverage

  • Help shape what Solutions Engineering looks like at Invert as we grow

What you'll bring

  • 5–8 years in pre-sales at a B2B SaaS company (SE, Sales Engineer, Solutions Architect)

  • Scientific or regulated-industry SaaS background - bioprocess, LIMS, lab informatics, manufacturing data, or similar. Bioprocess fluency is a plus; willingness to go deep on it fast is required.

  • Ability to sell with stories, adapt in customer calls, and read nuance

  • Comfort across the stack: APIs, data schemas, historians, bioreactor data systems, cloud data infrastructure. You don't write production code, but you can read it and sketch a data flow

  • Track record of winning deals against in-house builds and entrenched incumbents

  • Strong demo and workshop craft

  • B.S. in a STEM field

The package

  • Competitive salary, meaningful equity, full benefits

  • Fully remote, US and European time zones

  • Frequent team off-sites

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