Senior Product Manager

Ellevation Education builds software for educators who support English Learners. The Senior Product Manager will lead the Data Ingest product domain, developing scalable tools and pipelines that bring data into the platform and support downstream customer workflows.

Responsibilities

You'll serve as a product leader for Data Ingest — building the tooling that brings rostering, EL program, and assessment data from a variety of systems into our platform

The core challenge is accurately ingesting imperfect raw data and representing it effectively across 2,000 districts

This involves reimaginging our technically complex, high-stakes data pipelines while ensuring all ingested data continues to effectively power downstream customer workflows across our product

Build an independent, evidence-grounded read on the key challenges and business context in your domain, including the data ingest ecosystem, data operations processes, and downstream product workflows, with attention to in-progress work and team priorities

Establish high-trust relationships with your DevPro team, Data Operations, and cross-functional stakeholders across R&D and the business — operating as a peer from day one

Understand Ellevation's approach to product development, including our Shape Up methodology and how we think about discovery, appetite, and scope

Develop meaningful expertise in your domain, showing fluency in the product’s extract / transform / load architecture, troubleshooting product questions, and using relevant data to inform product perspectives. Understand the users you serve and the problems that matter most to them, and how all of it matters to the business

Become an active contributor toward your product team’s initiatives, taking on user research, data analysis, problem framing, and enablement efforts

Continue building influential, high trust relationships across the organization, helping stakeholders feel heard and informed and creating opportunities for them to plug into the work

Take full accountability for the success of the product from idea to launch:

Proactively drive product learning: set ambitious learning objectives and tackle them with user research, data analysis, and identifying hypotheses and testable product increments

Lead the team in working backwards from outcomes by raising risks and dependencies and driving execution

Drive go-to-market delivery as a first-class part of the job: internal teams are trained and adopting each release

Develop a clear, articulated point of view on opportunities in the problem space you own. Contribute to shaping product pitches with leadership

Build and sustain influence with senior stakeholders, evangelizing our product bets, surfacing tradeoffs, and developing alignment

Use the expertise and context you have built over the past year to drive the team forward, anticipate tradeoffs, and identify new opportunities for future ingest investments to advance our broader business goals

Develop a demonstrated track record of transforming ambiguous problems in the data ingest domain - whether technical or organizational - into successful outcomes for users and the business

Influence and elevate others across the organization, collaborating to solve problems and raising the bar for how Product approaches technically complex domains

Preferred

Related experience welcome in data engineering, business intelligence, or analytics

Experience in education, working with multilingual learner communities, or a meaningful connection to the mission

Capable of querying data (SQL or similar) to investigate a problem or support a decision — ideally with some comfort in a cloud data warehouse like Snowflake

Basic data modeling familiarity — schemas, relationships between datasets, identifiers, and downstream data dependencies

Experience with SIS (student information system) data, interoperability standards (OneRoster or similar), or hands-on experience with rostering platforms like Clever or ClassLink

Exposure to internal tooling in enterprise B2B SaaS, where some of your “customers” are internal operations teams in addition to external end users

Familiarity with product discovery methods: user interviews, lightweight prototyping, structured experimentation

Boston-area strongly preferred

Data Engineering

Business Intelligence

Education Experience

Multilingual Learner Communities

Mission Alignment

SQL

Cloud Data Warehousing

Snowflake

Data Modeling

Database Schemas

Dataset Relationships

Data Identifiers

Data Dependencies

Student Information Systems

Data Interoperability Standards

OneRoster

Clever

ClassLink

Enterprise B2B SaaS

Internal Operations Tooling

Product Discovery

User Interviews

Structured Experimentation

Problem-Solving

Benefits

Remote work, with in-person presence in Boston at a minimum of two days each month, plus company offsites.

Company

Web-based EL program management and teaching tools for K-12 schools

Boston, Massachusetts, USA

http://ellevationeducation.com/

Founded in 2011

51-200 employees

Qualifications

5-8 years relevant experience, including at least 3 years in product management

Passionate about data and data workflows

Experience with ETL data pipelines, data mapping and transformation, and comfortable digging in to troubleshoot or understand how data flows affects downstream users

Demonstrated success leading highly technical ETL teams, with a deep interest in how things work

You dig in to understand technical concepts, explore systems impact, and weigh tradeoffs

Evidence-driven and curious

You are genuinely interested in understanding the problems our internal users and customers face

You leverage direct user discovery and can run data analyses yourself to ground problem framing in real user and business impact

AI-fluent

You've used AI tools - whether for data analysis, prototyping, or documentation - and you have a point of view on where they help in a domain like this

Effective in cross-functional teams

You work well with a wide variety of people and are eager to be on a team where Product, Engineering, and Data Operations stakeholders collaborate daily

Experience leading and managing senior cross functional stakeholders

You bring others along by articulating the “why” behind decisions, translate technical concepts for non-technical stakeholders, and treat enablement as a core part of the job

Organized and dependable

You follow through on commitments, flag risks and questions early, and deliver reliably even under real operational pressure (e.g. Back to School season)

Strong learner

You actively learn from experience, solicit and apply feedback quickly, and can articulate how your thinking changed as a result

Related experience welcome in data engineering, business intelligence, or analytics

Experience in education, working with multilingual learner communities, or a meaningful connection to the mission

Capable of querying data (SQL or similar) to investigate a problem or support a decision — ideally with some comfort in a cloud data warehouse like Snowflake

Basic data modeling familiarity — schemas, relationships between datasets, identifiers, and downstream data dependencies

Experience with SIS (student information system) data, interoperability standards (OneRoster or similar), or hands-on experience with rostering platforms like Clever or ClassLink

Exposure to internal tooling in enterprise B2B SaaS, where some of your “customers” are internal operations teams in addition to external end users

Familiarity with product discovery methods: user interviews, lightweight prototyping, structured experimentation

Boston-area strongly preferred

5-8 years relevant experience, including at least 3 years in product management.

Required skills

ETL Data Pipelines, Data Mapping and Transformation, ETL Team Leadership, Data Analysis, SQL, Snowflake, Data Modeling, Student Information System (SIS) Data, OneRoster, Clever, ClassLink, User Research, Stakeholder management

Preferred skills

Boston-area strongly preferred

Experience

5-8 years