Staff Software Engineer

Datasite; Minneapolis (MN); Hybrid; USD 170,000 - 297,000; Full time

Job summary

Datasite is hiring a Staff Software Engineer to build and operate production systems at scale. You will shape architecture for secure, reliable platforms and collaborate with Product, ML, and Services teams to deliver high-impact solutions.

You will lead with pragmatic architecture decisions, mentor engineers, and drive AI-assisted development practices while maintaining ownership of shipped software.

Qualifications

• Seasoned software engineer with production systems experience.
• Deep expertise in backend/platform/distributed systems or full-stack engineering.
• Expert programming ability in Python, Java, TypeScript or Kotlin.
• Extensive experience architecting and operating production APIs, services, data platforms, and event-driven architectures.
• Fluency with AI-assisted development tools and agentic coding workflows.
• Excellent product sense and technical judgement with stakeholder influence.
• Exceptional written and verbal communication; ability to align teams on decisions.

Responsibilities

• Own outcomes for a product domain across multiple teams; define strategy and roadmaps.
• Define architecture for scalable APIs, data platforms, and event-driven systems; lead complex projects.
• Raise engineering standards with reusable platforms and documentation; reduce technical debt.
• Make high-leverage technical decisions with cross-organizational impact on security, performance, cost, and scalability.
• Collaborate with product, design, ML, and client success to translate goals into multi-quarter plans.
• Define AI-assisted and agentic development adoption, with guardrails and ownership.

Skills

Backend engineering

Distributed systems

Full-stack engineering

Python

Java

TypeScript

Kotlin

AI tooling

Tools

MongoDB

AWS

Azure

Google Cloud

Job description

About us

Datasite is the essential infrastructure for M&A. Also comprising Grata, Blueflame AI, and Sherpany, we help dealbreakers find opportunities, manage transactions, and make key decisions.

Whatever your talents, you can find a place for them here. Get involved in some of the biggest business ventures today. Work with other gifted people around the world. Follow your ambitions, or discover a whole new path.

Can you help us simplify the complex, create great experiences, and deliver better outcomes? Then let's talk.

Job Description:

Why Engineering at Datasite

Datasite's engineering organization builds the software the world's dealmakers depend on to find, evaluate, negotiate, and close transactions: secure virtual data rooms and AI-assisted diligence, AI-native deal sourcing and relationship intelligence, and private-company search and market data.

Our engineers play a critical role in producing high-quality software solutions to support the Datasite product lines. This position requires close collaboration with our Professional Services teams, Product teams, and other members of our Engineering team to develop and implement software components and ensure the reliability and performance of the platform.

We're looking for a Staff Software Engineer with strong product-engineering judgment and a solid foundation in backend, platform, distributed systems, or full-stack development. You'll turn ambiguous problems into secure, reliable production software, make pragmatic architecture calls, and use AI-assisted and agentic development tools to create real leverage, without losing ownership of what ships.

Location: We are hiring in New York City and Minneapolis. Datasite is a hybrid company, with in-office collaboration on Mondays, Tuesdays, and Thursdays.

What You Will Do

• Own outcomes for a product domain or platform area spanning multiple teams — defining technical strategy, success metrics, and roadmap, and driving measurable improvement over time.
• Set the architecture for scalable APIs, services, data platforms, and event-driven systems across team boundaries, and lead the most complex performance, scalability, and reliability work.
• Raise the engineering bar organization-wide: establish standards, reusable platforms and patterns, and documentation practices, and lead efforts to simplify systems and retire technical debt.
• Make and communicate high-leverage technical decisions with organization-wide impact across architecture, security, performance, cost, and scalability — anticipating risk and designing safeguards before they become incidents.
• Partner with Product, Design, Machine Learning, Client Success, and engineering leadership to shape strategy, translate ambiguous business goals into multi-quarter technical plans, and align teams on execution.
• Define how the organization adopts AI-assisted and agentic development - setting guardrails for verification, security, and human ownership of production decisions - and measure the leverage they actually create.
• Mentor and grow senior engineers, influence technical direction across the organization, lead architecture reviews, and stay hands‑on in the highest-impact work.

What You Bring

• Seasoned software engineer with experience building, scaling, and operating production systems, and a track record of leading technical initiatives across multiple teams.
• Deep expertise in backend, platform, distributed systems, or full-stack product engineering, with a demonstrated ability to design systems that scale with product and organizational growth.
• Expert programming ability in Python, Java, TypeScript, Kotlin, or a comparable modern language, with the ability to work effectively in Python-based systems and set language and framework direction for teams.
• Extensive experience architecting and operating production APIs, services, data platforms, distributed workflows, and event-driven architectures at enterprise scale, including leading responses to complex incidents.
• Deep fluency with AI-assisted development tools and agentic coding workflows, with experience defining how teams adopt them safely and effectively.
• Excellent product sense and technical judgement, with a track record of shaping technical strategy, influencing product roadmaps, and defending decisions under scrutiny from senior stakeholders.
• Exceptional written and verbal communication, including the ability to influence senior stakeholders, write clear technical strategy documents, and align teams on decisions and trade-offs.

Nice to Have

• Experience with M&A, virtual data rooms, private-market intelligence, financial services, enterprise SaaS, regulated data environments, legal technology, or other document-heavy workflows.
• Experience with MongoDB or a similar NoSQL database.
• Experience with AWS, Azure, or Google Cloud.
• Experience with AI-enabled product capabilities such as retrieval, workflow automation, structured outputs, evaluation frameworks, tool use, or human-in-the-loop review.

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.

$170,000.00 - $297,200.00

Our 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.