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Product Manager

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

8+ years product management or related experience, Master's degree, preferably in a technical field, Strong experience presenting to all audiences, Background in privacy enhancing technologies, Comfortable working with complex data sets.

Key responsabilities:

Own core signal data intake systems and processes
Collaborate with teams on program goals and requirements
Drive implementation, tracking, and reporting of metrics
Manage stakeholder communications and influence roadmaps
Conduct strategies for product-related research and decision making

SquarePeg Hires

2 - 10 Employees

See more SquarePeg Hires offers

Job description

Your missions

Our rapidly growing startup has created the largest data set of privacy-regulation-compliant behavioral

data in the MarTech industry, and is a leading innovator in vector embedding for ease of data

enrichment.

We’re hiring three separate, fully remote, Product Managers to join our team!

Please see below for individual outlines of the responsibilities for each role. If you feel you are a fit for one or more of these roles, apply today!

Core Signals PM

Responsibilities

Own the products and processes that make up our data intake systems, e.g. PETs that support
matching and signal extraction.
Own the service delivery system of core signal team outputs to customers.
Collaborate with legal and policy on defining and implementing compliance requirements and private-by-design best practices.
Own the Design, tracking, and reporting of metrics that help the company manage against the health and efficacy of our datasets.
Own the product roadmap and backlog for the Core Signals team.
Manage a complex stakeholder map that includes external data monetization partners, internal company teams that consume core signals output, and customers who consume the core signal outputs directly.
Conduct or specify relevant user experience, internal, or policy research that supports strategic decision making for your product line.
Collaborate with the senior leadership team on overall company product strategy.

Qualifications

8+ years product management, data science, or similar experience
Masters degree, with a Bachelors or Masters in a technical field
Demonstrated experience presenting to both technical and non-technical audiences
Strong communication skills and demonstrated ability to drive towards clarity
Background in building or applying privacy enhancing technologies
Background in PMing or building ML implementations
Comfort with working in ambiguity
Experience analyzing complex, large-scale information sets and making data-driven decisions.

Nice-to-haves

Background in complex machine learning tasks
Working knowledge of privacy law and regulations
Experience with growth and maturity phases of the product life cycle
Experience with managing large bureaucratic partner organizations
Experience with IRBs or other types of ethical review boards

Data Monetization PM

Responsibilities

Collaborate with Product, Engineering, and Commercial teams to define and align on program goals and requirements.
Identify and manage cross functional dependencies, risks, and unknowns
Establish scope, schedule, and technical resources for large scale projects
Drive execution of technical analysis, design, development, testing, implementation, and post implementation phases.
Own plans to effectively and proactively communicate program status, issues, and risks across a complex stakeholder environment.
Influence product roadmaps and strategy to align with broader company commercial goals.
Reduce operational overhead and improve automation across the company.

Qualifications

6+ years of software engineering or technical program management experience.
Bachelors in computer science or similar technical discipline
A strong understanding of software engineering, software development, and project management fundamentals.
Experience with end-to-end delivery of technical programs or products
Background in building or applying privacy enhancing technologies
Knowledge of requirements gathering, scoping, and capacity planning.
Demonstrated ability to communicate with technical and non-technical audiences
Experience with managing large bureaucratic partner organizations

Nice-to-haves

Awareness of current technology trends, particular
Experience with analyzing, troubleshooting, and problem solving in large-scale systems.
Experience with products in the Microsoft Azure ecosystem

Applications PM

Responsibilities

Build and maintain deep knowledge and expertise about our market space to continuously generate ideas for problems we might solve and ways we might solve them.
Drive alignment around these ideas and collaborate with functions across the company to draft and implement product requirements with the Applications engineering team
Drive alignment with the commercial team on key outcomes we want to achieve and the metrics we will use to measure our progress against those outcomes.
Own the implementation, tracking, and reporting of those metrics.
Own the product roadmap and backlog for the Applications team.
Conduct or specify relevant user experience, internal, or policy research that supports strategic decision making for your product line.
Collaborate with the senior leadership team on overall company product strategy.

Qualifications

6+ years product management or similar experience
Bachelor's degree (STEM preferred)
Demonstrated experience presenting to both technical and non-technical audiences
Strong communication skills and demonstrated ability to drive towards clarity
Experience gathering requirements across diverse areas and users, and converting and developing them into product solutions, especially with 0-1 product delivery
Comfort with working in ambiguity
Experience interpreting complex, large-scale information sets in graphical or tabular form and making data-driven decisions.

Nice-to-haves

Background in ad tech, marketing tech, data brokerages, or SaaS applications
Experience working with Machine Learning teams on recommendation systems or optimization problems.
Experience with growth and maturity phases of the product life cycle
Experience with managing large bureaucratic partner organizations
Working knowledge of privacy law