Sr. Forward Deployed Engineer, Commerical Operations

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you'll find the finest technological pioneers:
Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth.

Talent doesn't always just go in one direction or fit in a single box. We're happy to see whatever your superpower is and find the best place for it to flourish.

Datasite is seeking a full-time Senior Forward Deployed Engineer (FDE), Commercial Operations to accelerate the development, deployment, and adoption of AI-enabled tools, automations, and technical solutions across our Global Sales organization, including Revenue Enablement and Revenue Operations. As part of Datasite's Transformation Office, this role will be dedicated to supporting the Sales organization, working directly with commercial stakeholders to understand their workflows, identifying high-impact opportunities, and building practical, scalable solutions that improve seller effectiveness, productivity, and business outcomes.

The FDE will collaborate closely with Transformation Business Analysts, program management, and technical partners to translate high-value commercial opportunities into scalable, production-ready solutions. This is a hands-on role for someone who thrives at the intersection of technology and business. Success requires the ability to move quickly from ambiguous business challenges to working solutions, balancing speed, quality, scalability, and measurable impact.

We are open to hiring this position in NYC or Minneapolis. This is a hybrid position with 3 days per week in office.

• Embed within the global Sales organization, developing a deep understanding of commercial workflows and partnering with stakeholders and the Transformation Office to evaluate opportunities, validate technical feasibility, and define practical technical solutions.
• Design, build, integrate, test, and deploy production-ready AI applications, agents, automations, and workflow solutions, owning technical delivery from prototyping through deployment and iteration with an emphasis on speed to market, scalability, and measurable business impact.
• Develop reusable engineering patterns, components, and delivery practices that accelerate future deployments, prioritizing rapid value realization over unnecessary technical complexity while balancing speed, quality, and scalability.
• Partner with relevant technology, data, security, and governance teams to ensure solutions meet enterprise requirements for reliability, security, supportability, and global deployment.
• Partner with commercial stakeholders and enablement teams to drive solution adoption through intuitive user experiences, training, documentation, knowledge transfer, and continuous improvement informed by user feedback.
• Collaborate with Transformation Business Analysts and commercial stakeholders to measure solution performance, adoption, and business impact against established objectives, while communicating technical progress, risks, and opportunities for continued improvement.

• 5+ years of hands-on experience in software engineering, technical consulting, solutions engineering, software implementation, or related technical roles, with demonstrated success building and deploying production-ready software, automations, AI-enabled products, or enterprise solutions.
• Strong ability to work directly with non-technical stakeholders, understand their workflows, and convert business needs into practical technical solutions.
• Commercial curiosity and the ability to develop a strong understandig of sales, enablement, and revenue operations processes.
• Experience taking solutions from prototype to production, including technical design, integration, testing, documentation, release management, and post-launch support.
• Comfort working across product, engineering, data, security, and operational teams in a fast-moving environment.
• Strong analytical skills, with the ability to understand business objectives, measure solution performance and outcomes, and communicate value clearly.
• A collaborative, iterative mindset: build with users, learn quickly, and scale what demonstrably works.

• Demonstrable ROI through increased sales and revenue growth, enabled by greater selling capacity, improved productivity, time…