Why this role stands out
As an early member of a growing Customer Experience team in a remote capacity, you'll be instrumental in transforming complex bioprocess data challenges into actionable solutions for scientific leaders, leveraging your technical expertise to drive innovation in drug development. This role offers significant impact and the opportunity to shape the future of Solutions Engineering at a reputable company, making it ideal for builders eager to solve challenging problems and contribute meaningfully to groundbreaking work.
Quick overview
Job description
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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