Summer 2025, Winter 2025
Front End Software Engineering Co-op
Posted on 3/8/2025
Tamr
51-200 employees
AI-powered data unification and preparation
No salary listed
No H1B Sponsorship
Cambridge, MA, USA
In Person
The applicant must be local to the Boston/Cambridge area. Tamr is unable to provide relocation for co-ops and interns.
Bachelor's, Master's
 Software Engineering (1) |
|---|
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- Strong proficiency in JavaScript, including ES6+ features and functional programming concepts
- Understanding of React concepts like components, state management, hooks, and the virtual DOM
- Proficiency in HTML and CSS for building the structure and styling of web pages
- Experience with testing frameworks like Jest and React Testing Library
- Proficiency in Git and version control workflows
- Proficient in high-level programming languages such as Java
- Join a team of 4 or 5 people and contribute meaningfully to projects
- Design, break down, and own stories for every sprint
- Maintain code quality to the same standard expected of every engineer
- Currently pursuing either a Bachelor's or Master's degree in Computer Science, Information Systems, or a technically related field
- Local to the Boston/Cambridge area
Tamr provides AI-powered data management and integration software for large enterprises to clean, organize, and unify data from multiple sources for analysis. The product automates data cleansing, de-duplication, schema mapping, and data unification using machine learning, delivering a unified dataset through a subscription platform that includes setup and ongoing support. It differentiates itself by automating enterprise-scale data unification and governance, reducing manual data wrangling and enabling faster, more accurate data preparation. The goal is to turn data into a reliable asset that supports better business decisions through clean, unified data and scalable data management.
Company Size
51-200
Company Stage
Series C
Total Funding
$63M
Headquarters
Cambridge, Massachusetts
Founded
2012
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Simplify's Take
What believers are saying
- FY26 direct SaaS revenue jumped 102%, with 109% net revenue retention by January 31, 2026.
- Tamr's SaaS customer base grew 49% in FY26, while new customers rose 70%.
- Tamr's Google Cloud marketplace motion and EIDR win broaden distribution beyond direct sales.
What critics are saying
- Gartner's 2026 MDM Magic Quadrant lists Tamr as Niche Player behind Reltio and Informatica.
- Tamr's last disclosed outside capital came from Alteryx Ventures in July 2023, limiting war chest.
- If AI-native MDM commoditizes, Informatica, SAP, and Boomi can squeeze Tamr's pricing within 24 months.
What makes Tamr unique
- Tamr's AI-native MDM processed billions of records in FY26, proving enterprise-scale entity resolution.
- Tamr shipped Curator Hub and Bring Your Own Agent in 2026, deepening automation.
- Tamr holds 19 patents and serves EIDR, Old Mutual, and Google Marketplace buyers.
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Benefits
Unlimited Vacation, Flexible Working Hours
Health & Wellbeing
Industry leading parental leave
Employee Discounts & Perks
Retirement and Financial
Social Events
Growth & Insights and Company News
6 month growth
↑ 0%1 year growth
↑ 0%2 year growth
↓ -6%Tamr recognized among the Top 25 Data Management and Analytics Companies of 2025. Published. April 3, 2026 The Software Report were pleased to recognize Tamr among the Top 25 Data Management and Analytics Companies of 2025 at this year's NYC Awards Night, represented by Chief Marketing Officer Andy Zimmerman. Founded in 2013, Tamr describes itself as the only AI-native master data management solution - employing patented AI to handle the majority of data mastering work rather than relying on the rules-heavy methods of legacy systems. By unifying, cleaning, and enriching fragmented enterprise data, Tamr produces the golden records required for AI automation, informed decision-making, and better customer experiences, delivering value in days or weeks rather than the months or years. Backed by 19+ patents in AI, machine learning, and data curation, Tamr's customers span financial services, healthcare, life sciences, manufacturing, and beyond. It was great to have Andy with The Software Report in New York for this year's event. The next AI Software Report and GrowthCap Forum event will take place this summer in Jackson Hole, WY. Learn more here. Picture: Andy Zimmerman at NYC Awards Night. Related insights. The AI Software Report is a comprehensive source for market research and insights, business news, investment activity and corporate actions related to the software sector. Based in New York City, the firm is run by a seasoned team of editors, writers and media professionals highly knowledgeable on software and the various companies, executives and investors that make up the sector.
Tamr, an AI-native master data management solution, reported strong fiscal year 2026 results ending 31 January, with direct SaaS revenue growing 102% year-over-year. The Cambridge-based company achieved 97% gross revenue retention and 109% net revenue retention, whilst expanding its SaaS customer base by 49%. The company processed billions of records globally, with API web requests increasing nearly threefold year-over-year. New customers included EIDR, which selected Tamr to modernise content verification and deduplication across the entertainment industry. Tamr introduced several product innovations, including Curator Hub for agentic data curation and a "Bring Your Own Agent" architecture. The company also secured an additional US patent, bringing its total to 19 patents spanning AI, machine learning and data curation.
Tamr announced an investment from Alteryx Ventures, part of Alteryx, to enhance its data product platform. This strategic investment aims to improve Tamr's delivery of high-quality, trustworthy data products for data-driven enterprises. The collaboration aligns with Alteryx's goal of providing top-tier data quality and analytics solutions. Tamr's machine learning-driven products help organizations maintain clean, enriched data, benefiting applications like Alteryx.
AI-Native MDM Leader Achieved 65% ARR Growth and 50% Customer Growth Over FY 2024CAMBRIDGE, Mass., March 31, 2025 /PRNewswire/ -- Tamr Inc. ("Tamr"), the AI-native MDM company today announced results for its most recent fiscal year, which ended January 31, 2025. The company achieved 65% annual recurring revenue (ARR) growth, 50% growth in the number of customers, and a 136% net dollar retention rate over the prior fiscal year. The company also launched several new solutions, earned industry recognition in the master data management (MDM) market, and expanded its board of directors and executive team."It was a landmark year for Tamr, with both strong financial performance and a number of new developments that have us well positioned for the future," said Anthony Deighton, chief executive officer of Tamr. "This positive momentum reflects the commitment of all Tamr employees and our proven expertise in data mastering and data quality, backed by 18 patents in AI, machine learning and data curation. We look forward to the future and our continued leadership as an AI-focused innovator in the growing MDM market."New Products and SolutionsTamr unveiled a series of new solutions designed to help organizations solve their data-related challenges, including:AI-Powered Search – Uses advanced semantic search techniques to interpret the meaning, intent, and context of user queries, combined with patented entity matching, to deliver highly relevant results at unparalleled speed and accuracy.– Uses advanced semantic search techniques to interpret the meaning, intent, and context of user queries, combined with patented entity matching, to deliver highly relevant results at unparalleled speed and accuracy
CAMBRIDGE, Mass. - July 30, 2024 - Tamr Inc. ("Tamr"), the leader in AI-native software for delivering trustworthy golden records, today announced the launch of Tamr RealTime, a set of new features for its AI-native master data management platform that allow organizations to rapidly build and maintain accurate, up-to-date data that improves operational efficiency.