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Job Description:
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.
Key responsibilities
- 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.
Experience and ways of working
- 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.
Measures of success
Success will be measured through:
- Demonstrable ROI through increased sales and revenue growth, enabled by greater selling capacity, improved productivity, time savings, and cost avoidance.
- Adoption, active usage, and sustained engagement with deployed solutions.
- Reduction in manual effort, process cycle time, rework, or avoidable errors.
- Improvements in seller productivity, process quality, and commercial or operational outcomes where attributable.
- Speed and quality of delivery from validated opportunity to production deployment.
- A growing, well-governed portfolio of globally reusable solutions with clear ownership, documentation, and performance reporting.
The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.
$118,800.00 - $207,200.00Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.
Skills Required
- 5+ years building production software
- Experience delivering production AI, LLM, automation, or workflow solutions
- Strong consulting and discovery skills
- Experience redesigning business processes to improve efficiency, quality, or scalability
- Systems thinking connecting people, process, data, and technology
- Strong product judgment including buy-versus-build decisions
- Excellent communication, facilitation, and executive presentation skills
- Demonstrated ownership, adaptability, and comfort operating in ambiguous environments
- Located in CST or EST time zones
- Experience with Python
- Experience with modern cloud platforms
- Experience leading organizational adoption and change management
- Experience working in regulated or security-conscious environments
DataSite Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about DataSite and has not been reviewed or approved by DataSite.
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Healthcare Strength — Health coverage is described as comprehensive, including medical, dental, vision, mental‑health resources, and an employee assistance program. Feedback suggests these offerings align with mainstream expectations for mid‑size SaaS employers.
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Retirement Support — A 401(k) with employer match is consistently referenced, with some mentions of immediate vesting. Feedback suggests the retirement program is competitive relative to common market practices.
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Leave & Time Off Breadth — Paid time off is characterized as meaningful, including paid holidays, sick time, and generous PTO ranges, with certain business units citing unlimited PTO and notable parental leave. Feedback suggests time off is a valued and frequently cited strength.
DataSite Insights
What We Do
Datasite the maker of Datasite Diligence virtual data room platform, helping dealmakers around the world close more deals faster.









