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Software Engineering Manager, Data Intelligence

Addepar1

New York, NY Remote permanent

Posted: January 28, 2026

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Quick Summary

We are seeking a Software Engineering Manager to oversee the development and deployment of our data intelligence platform, ensuring seamless integration with our existing infrastructure and ensuring the highest quality of our software products.

Job Description

Who We Are

Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo.

The Role

Be at the forefront of exciting data initiatives at Addepar!

Addepar is hiring a hands-on engineering manager who will bring to bear their expertise, leadership, and platform management skills to create solutions for Financial Data Lakehouse, AI, and Data Governance.

Addepar takes a market-based approach to pay. A successful candidate’s starting pay will be determined based on the role, job-related skills, experience, qualifications, work location, and market conditions. The range displayed on each job posting reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.

The current range for this role is $160,000 - $250,000 (base salary) + bonus + equity + benefits.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Additionally, these ranges reflect the base salary only, and do not include bonus, equity, or benefits.

Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment.

What You’ll Do

• Direct Team Leadership: Build, lead, and develop a high-performing team of engineers, fostering a culture of accountability, growth, and technical excellence

• Execution & Delivery: Work in partnership with global product managers and technical partners to translate business requirements into actionable technical roadmaps, ensuring predictable delivery of complex data workflows

• Hands-on Technical Contribution: Drive the team’s output by staying active in the codebase—writing production code, performing deep code reviews, and designing scalable integrations for the Data Lakehouse

• Cross-Coast Collaboration: Coordinate effectively with distributed teams across time zones to ensure alignment on global priorities and seamless technical integration

• Mentorship: Actively coach and mentor junior and senior engineers, helping them navigate technical challenges and advance their professional careers

Who You Are

• 8+ years of relevant experience in data platform development, including at least 2+ years of formal people management or successful team leadership experience

• Highly proficient in Python and data engineering, with the ability to "lead from the trenches" and solve deep technical hurdles alongside your team

• Practical experience building and maintaining robust data pipelines and service-oriented architectures within a cloud environment (AWS preferred)

• Strong advocate for agile methodologies, prioritizing iterative development, experimentation, and continuous process improvement to optimize team velocity

• Exceptional at bridging the gap between technical details and business outcomes, with the ability to manage stakeholder expectations across different regions

• Familiarity with PySpark and Databricks is a significant plus; you should be comfortable guiding a team through large-scale data processing challenges

Our Values

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.

• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.

• Champion Our Clients - Exceed client expectations. Our clients’ success is our success.

• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.

• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to [email protected].

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