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Product Manager, AI Enrichment

Posting TypeHybridJob OverviewAt Relativity, we make software to help users organize data, discover the truth, and act on it. Our e-discovery platform is used by more than 13,000 organizations around the world to manage large volumes of data and quickly identify key issues during litigation, internal investigations, and compliance projects.The Product Management team is looking for a Product Manager over our AI Enrichment products, including Structured Analytics, A/V Transcription, and OCR. This role will work closely with our customers to deliver AI-powered solutions that drive efficiencies in document review as well as with internal application teams to drive adoption of platform services.Job Description and RequirementsRole ResponsibilitiesProduct Ownership & Strategy• Define and execute roadmaps: Drive product roadmaps and strategies for two sprint teams, with a focus on the scalability and resiliency of our existing AI and Analytics solutions.• Drive product discovery: Run continuous discovery, working with engineering and design, to uncover and test product opportunities.• Measure success: Identify, track, and report on key product metrics. Work with engineering and design to define quarterly OKRs (Objectives and Key Results) that articulate team goals.• Support development teams: Help translate validated designs and technical analysis into actionable story cards with well-defined acceptance criteria.• Iterate rapidly: Break down large projects into manageable, iterative releases with clear milestones and measurable results.Technical Expertise• Partner with engineering: Partner with your engineering team to ensure deliverables meet our high standards for scalability, reliability, observability, security, and AI ethics.• Lead tradeoff decision-making: Through a strong understanding of AI/ML workflows, data pipelines, and algorithmic considerations, lead product tradeoff and scope discussions with engineering, design, and applied science.• Simplify complex topics: Translate technical conversations and decisions to less technical audiences, internal and external, to create clarity with stakeholders.Team Collaboration• Share context: Clearly articulate the “why” behind product decisions to foster alignment and buy-in from internal and external stakeholders.• Lead cross-functional initiatives: Drive and participate in various cross-functional programs, ensuring that your teams’ work is represented well and contributing to overall program success.• Partner to drive adoption: Ensure that internal teams understand our product priorities and delivery status while partnering with them to drive adoption from customers.Preferred qualifications:• Strong experience with design thinking and iterative software development processes.• Comfortable with data analysis, including the ability to use data to analyze and monitor product health, set goals, back up assumptions, and track success.• Professional experience working with AI-powered solutionsMinimum qualifications:• 3+ years of experience in software product managementRelativity is committed to competitive, fair, and equitable compensation practices.This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.The expected salary range for this role is between following values:$115,000 and $173,000The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.What Relativity Has to OfferRelativity's software helps users organize data and quickly identify key issues during litigation, internal investigations, and compliance projects. They offer their employees great benefits like:• Flexible work arrangements• Winter break (office closed from Christmas through New Year's Day)• 401k matching• Paid parental leave

Average salary estimate

$144000 / YEARLY (est.)
min
max
$115000K
$173000K

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What You Should Know About Product Manager, AI Enrichment, Relativity

Are you passionate about harnessing AI to transform how we handle data? Relativity is on the lookout for a talented Product Manager for AI Enrichment to join our amazing team based in Illinois. In this hybrid role, you will take ownership of products like Structured Analytics, A/V Transcription, and OCR, helping our 13,000+ global clients unlock efficiency in document reviews. You’ll collaborate closely with customers to understand their needs and partner with internal teams to ensure our AI-powered solutions shine. Your days will be filled with defining and executing product roadmaps, driving continuous product discovery, and measuring the success of innovative solutions. With a strong focus on scalability, reliability, and ethical AI practices, you will guide teams through the complexities of product development, breaking larger projects into bite-sized chunks. If you thrive in a cross-functional environment and love simplifying complex technical discussions for broader audiences, this role is a perfect fit. At Relativity, we believe in the power of data to uncover the truth and you're invited to be a part of this vital mission. Plus, we value your work-life balance with flexible arrangements and great benefits, ensuring you're well supported both inside and outside the office.

Frequently Asked Questions (FAQs) for Product Manager, AI Enrichment Role at Relativity
What are the key responsibilities of a Product Manager for AI Enrichment at Relativity?

As a Product Manager for AI Enrichment at Relativity, your responsibilities will include defining and executing product roadmaps, driving product discovery, measuring product success through key metrics and quarterly OKRs, and supporting development teams by translating validated designs into actionable story cards. You'll also partner closely with engineering to ensure the deliverables meet high standards for scalability, reliability, and security.

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What qualifications do I need to become a Product Manager for AI Enrichment at Relativity?

To excel as a Product Manager for AI Enrichment at Relativity, you'll need at least 3+ years of experience in software product management, along with strong expertise in design thinking and iterative software development processes. A background in AI-powered solutions and comfort with data analysis to monitor product health and success will also set you apart.

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What is the expected salary range for a Product Manager for AI Enrichment at Relativity?

The expected salary range for the Product Manager for AI Enrichment role at Relativity falls between $115,000 to $173,000. Actual salaries may vary and will be influenced by your experience, skill set, qualifications, and internal pay equity, with a focus on allowing for meaningful salary growth in this position.

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How does Relativity support the professional development of a Product Manager for AI Enrichment?

At Relativity, we are committed to your growth as a Product Manager for AI Enrichment. Our culture encourages continuous learning, knowledge sharing with cross-functional teams, and opportunities to lead innovative AI-powered product initiatives. We aim to develop skills that aid in career advancement while fostering a supportive environment.

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What benefits can I expect as a Product Manager for AI Enrichment at Relativity?

In addition to a competitive salary, Relativity offers a robust benefits package for Product Managers for AI Enrichment, including flexible work arrangements, a winter break from Christmas to New Year's Day, 401k matching, and paid parental leave. We want to ensure our employees feel valued and supported both personally and professionally.

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Common Interview Questions for Product Manager, AI Enrichment
How do you prioritize features for AI Enrichment products?

When prioritizing features for AI Enrichment products, I assess customer feedback, product metrics, and alignment with strategic goals. Using frameworks like the RICE method (Reach, Impact, Confidence, and Effort) helps in making informed decisions about what will provide the most value to our users at Relativity.

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Can you explain your experience with AI-powered solutions?

In my previous roles, I have successfully managed AI-powered products, overseeing their full lifecycle from ideation to launch. My experience includes collaborating with data scientists to develop algorithms and ensuring the solutions adhere to AI ethics, making them reliable and user-friendly.

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Describe a time you had to resolve a conflict within your product team.

Resolving conflicts in a product team requires open communication and empathy. For instance, I once navigated a disagreement over feature prioritization by facilitating a meeting where each member presented their perspectives and data-backed reasons, leading us to a consensus that best suited our company goals.

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How do you measure the success of an AI product?

I measure the success of an AI product through various key performance indicators (KPIs) including user engagement metrics, customer satisfaction scores, and achievement of defined objectives and key results (OKRs). Regular assessments and feedback cycles are crucial for continuous improvement.

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What methodologies do you use for product development?

I typically embrace agile methodologies for product development, focusing on iterative processes that involve rapid prototyping and continuous feedback. This approach allows us to respond quickly to changes and adapt to user needs effectively, which is especially important in AI-powered products.

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How do you keep yourself updated with AI trends?

I stay updated with AI trends through various channels such as participating in industry conferences, reading research papers, engaging in online courses, and following influential thought leaders on social media. Networking with peers and experts also keeps me informed about emerging technologies and best practices.

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How would you explain a complex AI concept to a non-technical stakeholder?

To explain a complex AI concept to a non-technical stakeholder, I focus on simplifying the terminology and breaking down the process into relatable analogies. Using visuals and real-world examples helps clarify the concept while ensuring the stakeholder understands its implications for our product.

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What role does customer feedback play in your product decisions?

Customer feedback is central to my product decisions. It informs our roadmap and helps identify pain points that our AI Enrichment products must address. Regularly gathering and analyzing user feedback allows us to iterate and enhance product features effectively.

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How do you approach cross-functional collaboration?

I approach cross-functional collaboration by fostering an inclusive environment where everyone feels valued in their contributions. Regular meetings and transparent communication help align teams, ensuring that engineering, design, and other departments work harmoniously towards common goals.

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What do you see as the future of AI in product management?

I believe the future of AI in product management will involve deeper integrations of AI-driven insights into the decision-making processes, enabling more personalized user experiences. AI will continue to evolve, and it will be crucial for product managers to adapt and leverage these advancements for strategic advantage.

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Organize data. Discover the truth. Act on it.

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Full-time, hybrid
DATE POSTED
December 16, 2024

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