Solutions Engineer

Invert, Inc.
San Francisco, CA, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Software as a Service Cloud Database Data Systems Database Schema Laboratory Information Management Systems Data Streaming Technical Data Management Systems Information Technology Production Code Virtual Agents

Job description

What we’re buildingDrug 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 roleYou’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 doPartner with AEs on deal strategy: discovery, technical narrative, path to selectionBuild and deliver tailored demos grounded in the prospect’s own data and workflowsRun technical workshops and POCs that validate fit and build internal championsEstablish 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 leverageHelp shape what Solutions Engineering looks like at Invert as we growWhat you’ll bring5-8 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 nuanceComfort 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 flowTrack record of winning deals against in-house builds and entrenched incumbentsStrong demo and workshop craftB.S. in a STEM fieldThe packageCompetitive salary, meaningful equity, full benefitsFully remote, US and European time zonesFrequent team off-sites

Requirements

  • 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

Benefits & conditions

  • Competitive salary, meaningful equity, full benefits
  • Fully remote, US and European time zones
  • Frequent team off-sites

About the company

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.

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