Enterprise Account Executive, Life Sciences

Build the infrastructure that makes industrial AI possible

AI is moving beyond the cloud and into the physical world. At Litmus, you’ll build the infrastructure that enables real-time data to power AI and machine learning systems in production environments.

Work on problems where software meets the real world

Most AI systems fail without access to real-world data. You’ll build the layer that makes them viable in production. We solve challenges at the intersection of distributed systems, real-time data, and industrial constraints — where reliability, scale, and performance are non-negotiable.

Have real impact, fast

You’ll work on systems used by real customers in production, with direct impact on product and company trajectory. As a scaling company, we move quickly. You’ll have ownership, visibility, and the ability to shape both product and company as we scale.

Join a high-performance team

We’re building a team that holds a high bar and pushes each other to improve. You’ll work alongside experienced operators, engineers, and leaders who have done this before and are building again at scale. We hire people who take ownership, move quickly, and care about outcomes. No passengers.

Our culture

At Litmus, the team is collaborative, curious, and low ego. People are scrappy, take ownership, and look for ways to make an impact. We value empathy just as much as execution, whether that’s in how we build, how we communicate, or how we support each other.

We’re a growing company, so things move quickly and not everything is perfectly defined. If you enjoy figuring things out, working closely with others, and making steady progress, you’ll do well here.

About the Role

We're hiring an Enterprise Account Executive, Life Sciences to own Litmus's growth with pharmaceutical, biotech, CDMO and medical device manufacturers. You'll be responsible for winning new enterprise logos and expanding existing customers from initial sites to multi-site, global deployments of the Litmus Industrial DataOps platform. You'll work closely with Solutions Engineering, Customer Success, Marketing and our partner ecosystem to help life sciences manufacturers connect and put their OT data to work for analytics, AI and Pharma 4.0 initiatives.

This is a remote role based in the U.S. or Canada, reporting to the VP of Sales, North America, with up to 40% travel to customer sites, manufacturing plants and industry events.

What You’ll Do

· Build and execute a territory plan to win new enterprise life sciences accounts across top pharma, emerging biotech, CDMOs and medical device manufacturers.

· Prospect into and build relationships with senior stakeholders across Manufacturing and Operations, Digital/Industry 4.0, OT/Automation, Quality and IT.

· Run disciplined, multi-threaded sales cycles using MEDDICC, from discovery and business case through technical validation, pilot, procurement and close.

· Expand existing customers from initial plant or use-case deployments to multi-site and enterprise agreements, working with Customer Success to drive adoption and value.

· Build strategic account plans and mutual success plans, and lead executive business reviews with key accounts.

· Act as Litmus's life sciences expert: bring a point of view on connected manufacturing, electronic batch records and AI data readiness, and position Litmus within GxP-validated environments.

· Co-sell with system integrators, consulting firms and technology partners (automation, MES, cloud and data platforms) that serve life sciences manufacturers.

· Maintain an accurate pipeline and forecast in Salesforce and consistently meet or exceed quarterly and annual bookings targets.

What You’ll Bring

Must Have

· 4+ years of quota-carrying enterprise software sales experience, with a track record of closing complex six- and seven-figure deals.

· Experience selling into life sciences manufacturing organizations (pharma, biotech, CDMO or medical devices).

· Background in industrial software, IIoT, OT/IT, MES, historians, automation or manufacturing data and analytics.

· Proven success both hunting new logos and expanding existing accounts in a land-and-expand model.

Nice to Have

· An existing network within top-20 pharma, leading biotech or CDMO manufacturing and digital organizations.

· Familiarity with ISA-88/ISA-95, OPC UA, Unified Namespace (UNS) concepts and systems such as DCS, MES, LIMS and historians.

· Experience co-selling with global system integrators and cloud/data platform partners.