Machine Learning Product Manager

Location: Cambridge, Massachusetts

Position Type: Full-time

Company Mission: 

The Iterative Scopes mission is to empower doctors with real-time computer-aided detection and diagnostic tools powered by state-of-the-art computer vision and machine learning technology; improving patient outcomes by helping gastroenterologists detect and classify lesions in real-time, including those that often elude the human eye; and improving care worldwide by providing doctors across the globe with access to deep neural networks trained by the world’s best

and most experienced GI specialists.

 

Iterative Scopes is a venture backed company established by Jonathan Ng, MD a second time founder. The company has raised over $14M and is on track to be one of the fastest growing MIT startups. The scientific advisory board includes world-class gastroenterologists primarily based in Boston and leading MIT computer vision and machine learning researchers and faculty.

Job Overview:

We are looking for a seasoned technical product manager to partner with our Machine Learning team. The Machine Learning Product Manager (ML PM) gets to conceive of and develop products and tools that are at the core of the Iterative Scopes value proposition. The ML PM is a part of the Product organization and assists in all aspects of building ML based products, from ideation to launch. The ML PM  works closely with stakeholders, including ML and platform engineering, as well as clinical operations, to understand and document requirements that meet stakeholder needs as well as design solutions to meet those requirements and create artifacts that communicate those requirements.

Specific Duties & Responsibilities:

Tactical 

  • Plays a highly collaborative role working closely with internal teams and external partners to shape and deliver AI/ML technology solutions that meet customer/partner needs. Works closely with engineering teams and product leadership

  • Collaborates in defining the data and annotation strategies for ML projects; interfacing with Clinical Operations Annotation Leads to define annotation strategy and ensure delivery of appropriate annotation 

  • Manages the requirements for AI/ML capabilities implemented and oversees the development and maintenance of the ML Pipelines and tools 

  • Participates in sprint planning, backlog review and prioritization, and retrospective activities all while representing the “voice of the customer” 

  • Monitors open bugs, output precision issues, result incompleteness and inconsistency, missing data, etc.

  • Works closely with engineering teams and product leadership time-box the exploration and encourage the team to test the models early and frequently from end to end in order to accelerate time-to-market

Strategic

  • Interfaces with internal and external customers to further understand and define opportunities 

  • Interacts with the Head of Product to communicate the need, validate the deliverables, storyboard and gain buy-in from the stakeholders

  • Collaborates with the Head of Product on the commercialization of IS/ML technology into products

  • Works with the head of Machine learning and other ML team members to drive the AI/ML tech strategy and development, building the ML technology roadmap and overall program execution across Iterative Scopes ML Projects

  • Develops competitive intelligence on AI/ML products features & functions; bringing a deeper understanding of the AI/ML market/industry, our competition, and user requirements to the broader product team

  • Develops and champions business cases for new and follow-on AI/ML products and/or components through a diligent “outside-in” Voice of Market and Voice of Customer approach; Makes priority and trade-off decisions for when/how solutions will be developed 

  • Identifies business opportunities to increase usability and profitability of our AI/ML technology

Key Skills & Competencies:

  • Has a very good understanding of math and statistics and the limits of what adaptive software systems can achieve

  • Remains user-centric and keeps focused on customer needs and how ML is actually well-placed to help 

  • Is data literate, provides ML-literate specifications, asks the right questions about data, and has basic understanding of what is and isn’t feasible based on available data

  • Is an exceptional communicator, able to bridge the gap between product development and data science

  • Demonstrates clear strategic thinking, a strong capability to work cross-functionally across organization, and an aptitude for driving product management lifecycles 

Minimal Qualifications:

  • 5+ Years of relevant experience

  • Good understanding of Data Science and  ML lifecycles, experience developing ML-driven products

  • Demonstrated analytical and quantitative skills. Proven ability to dive deep on highly complex problems

  • Experience working with ML engineering teams, familiar with running sprints, stand-ups, and backlog

  • Ability to structure problems and prioritize work against the largest impact initiatives 

  • Ability to work across several stakeholder groups and juggle many large initiatives simultaneously

  • Strong written and verbal communication; able to communicate advanced technical concepts to non-technical audiences and manage competing priorities

  • Excellent time management, planning and organizational skills

  • Detail oriented and organized with flexibility to work on diverse projects and follow-up oriented

  • Execution focused, owner mentality and willing to roll up their sleeves and do whatever is necessary

  • Ability to make independent, critical decisions that will impact project and department success

  • Able to foster collaborative relationships with other cross-functional teams

  • Openness to accept and implement constructive feedback;  value feedback and reflection

Desired Qualifications:

  • Background in healthcare technology

  • Bachelor’s degree in related field or equivalent work experience

  • Experience working within a high paced, fluid environment

  • Confident in presenting to small and large groups comprised of end users and decision makers

  • A belief that technology can solve problems on a massive scale

  • Proven ability to influence cross-functional teams without formal authority

  • Proven ability to synthesize multiple streams of information and deliver effective communication

  • Strong understanding of product management techniques especially as it relates to SCRUM and agile

Additional Information: 

The Iterative Scopes advisory board includes leading MIT computer vision and machine learning researchers/faculty and world-class Boston-area physicians and gastroenterology experts

Recruitment & Staffing: 

Agencies: Iterative Scopes does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Iterative Scopes or its employees is strictly prohibited unless contacted directly by Iterative Scopes' internal operations team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Iterative Scopes, and Iterative Scopes will not owe any referral or other fees with respect thereto. 

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