Engineering Manager, Agentic Platforms - Grata

Posted Yesterday
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New York, New York City, NY, USA
In-Office
141K-248K Annually
Senior level
Software
We empower dealmakers around the world with the tools they need to succeed across the entire M&A journey.
The Role
As an Engineering Manager, you'll lead a team focused on developing agentic workflows for M&A, ensuring product delivery and team growth, while engaging with AI and scalable engineering practices.
Summary Generated by Built In

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.

 

Apply for one position or as many as you like. 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.

 

Get started now, we look forward to meeting you..

Job Description:

Grata for Datasite is the leading private market dealmaking platform. We make it easy to find, research, and engage with private companies while powering end‑to‑end M&A business development workflows. Our platform delivers the most comprehensive, accurate, and searchable proprietary data on private companies, their financials, and their owners.  

We are looking for an Engineering Manager to lead a team building the next generation of agentic workflows for financial professionals. This role sits at the intersection of AI, product discovery, and scalable platform engineering, and will play a critical role in moving Grata into a new frontier of business development tools. 

Grata is a hybrid company, with in-office collaboration in NYC on Mondays, Tuesdays, and Thursdays. 

 

What You’ll Do 

As an Engineering Manager, you will be accountable for both delivery and people leadership, while partnering closely with Product, Data, AI, and Design. 

You will: 

  • Own the outcomes of your team's efforts by ensuring successful product deliveries, including incremental value creation, maintaining system performance, and sharing in commercial wins. 

  • Coach engineers on growth plans and promotions using established engineering pathways. 

  • Establish and evolve healthy team practices, including planning, execution, quality, and operational excellence. 

  • Represent Engineering in cross‑functional ceremonies and planning with Product, Data, AI, and Design partners. 

  • Balance near‑term delivery with long‑term technical health, identifying and managing technical debt. 

  • Translate product and technical vision into clear execution plans and measurable outcomes. 

  • Foster a culture of high ownership, psychological safety, and sustainable pace. 

This role is primarily focused on management and leadership, with hands‑on technical engagement as needed to guide architecture, unblock teams, and support high‑impact initiatives. 

 

What You’ll Be Working On 

  • Building the next level of Grata’s M&A business development platform, powered by agentic workflows. 

  • Designing and scaling AI‑driven systems that help customers discover opportunities, automate workflows, and act faster. 

  • Partnering closely with Product Managers to identify customer pain points and uncover efficiency gains through agents. 

  • Developing platform capabilities that position Grata at the forefront of AI‑enabled dealmaking tools. 

 

Technical Requirements (Must Have) 

  • Experience leading engineering teams that build agentic or autonomous workflows. 

  • Strong comfort with Python and React in a full‑stack environment.

  • Experience designing and operating queue‑based, event‑driven, or asynchronous systems. 

  • Proficient on AI driven coding and scalable, modular applications with a strong grasp of architectural patterns, reliability, and engineering trade‑offs. 

Technical Experience (Nice to Have) 

  • Familiarity with ETL and data processing systems, such as:   *Databricks or Spark‑based pipelines 

*Kafka, Pulsar, or similar event streaming platforms 

*Airflow, dbt, or workflow orchestration tools 

  • Experience working with AI/ML‑adjacent systems or data‑heavy platforms. 

  • Exposure to cloud‑native architectures and scalable backend services. 

 

What We’re Looking For 

We’re looking for an engineering leader who brings strong judgment, ownership, and collaboration skills. You may demonstrate strengths in areas such as: 

  • Anticipating cross‑team constraints and balancing technical risk with delivery goals. 

  • Holding teams to a high-quality bar while reinforcing sustainable execution. 

  • Forecasting capacity, negotiating scope, and planning effectively across quarters. 

  • Communicating clearly with both technical and non‑technical partners. 

  • Guiding teams through architectural evolution and platform upgrades. 

  • Proactively improving processes, metrics, and engineering effectiveness. 

  • Investing in continuous learning and skill development for your team.  

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.

$141,000.00 - $248,000.00

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.

Top Skills

Airflow
Databricks
Dbt
Kafka
Pulsar
Python
React
Spark
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The Company
HQ: Minneapolis, CA
821 Employees
Year Founded: 1968

What We Do

Datasite the maker of Datasite Diligence virtual data room platform, helping dealmakers around the world close more deals faster.

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