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EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.

EvenUp is on a mission to ensure that injury victims receive the justice they deserve. As a venture-backed generative AI startup, we're expanding the $100B+ in awards granted to injury victims every year. We recognize the challenges faced by millions of ordinary people in seeking justice, especially those from underrepresented backgrounds. Our vision is to level the playing field, regardless of income or demographics. Operating across various injury cases, from police brutality to motor vehicle accidents, our ML-driven software empowers attorneys to accurately assess case values, securing larger settlements efficiently. With rapid growth and substantial investment from top Silicon Valley investors, we're proud to have assembled an elite team from diverse backgrounds to drive our vision forward. 

Our team is seeking a Product Manager to lead the development of AI-powered solutions to help legal teams generate better documents, negotiate smarter, and get justice for their clients faster. In this role, you will drive product strategy and tactics, collaborating closely with engineers, designers, machine learning researchers, data scientists, and many other functions. Your leadership will be key in enhancing the breadth and depth of the value our software creates for users. 

Please note: This is a hybrid role with the expectation of working at least 3 days a week from one of our office hubs in San Francisco, Toronto or Los Angeles. Job title and level to be determined based on candidate’s background.

What you'll do:

  • Understand internal and external user needs through qualitative and quantitative approaches; use your deep user understanding to build new products and features that are broadly and deeply adopted by users.

  • Apply cutting-edge AI capabilities to a wide swathe of user problems. 

  • Collaborate with a highly skilled team of engineers, designers, data scientists, machine learning researchers, and others to ship high-quality features, with high velocity. 

  • Collaborate with highly-skilled leaders across product marketing, sales, customer success, and operations to ensure seamless user experiences during new feature launches and customer onboardings, using feedback to refine designs continuously.

  • Influence company strategy; translate strategy into tactics; execute on tactics with a high degree of accountability and velocity in cross-functional sprints.

What we look for:

  • At least 4 years of experience in B2B product management, ideally in a startup environment.

  • Experience working on complex workflow products, such as document or artifact generation, decision-support tools, or sophisticated external business tools.

  • AI/ML product experience, with a strong understanding of how to leverage machine learning to drive user value.

  • Strong qualitative user research skills to uncover customer pain points and drive product decisions.

  • Excellent quantitative skills, including a passion for SQL and data-driven storytelling.

  • A growth-focused, execution-driven mindset, with the ability to prioritize, experiment, and iterate quickly to achieve measurable results.

  • Ability to thrive in a fast-paced, high-growth environment and adapt to rapidly evolving business needs.

#LI-Hybrid

#LI-San-Francisco

#LI-Toronto

#LI-Los-Angeles

Notice to Candidates:

EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com or @evenup.ai, or no-reply@ashbyhq.com email address. 

If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. 

Benefits & Perks:

Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:

  • Choice of medical, dental, and vision insurance plans for you and your family

  • Flexible paid time off

  • 10 US observed holidays, and Canadian statutory holidays by province

  • A home office stipend

  • 401(k) for US-based employees

  • Paid parental leave

  • Sabbatical program

  • A meet-up program to get together in person with colleagues in your area

  • Offices in San Francisco, Los Angeles, and Toronto

Please note the above benefits & perks are for full-time employees

About EvenUp:

EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.

EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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CEO of EvenUp
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Average salary estimate

$115000 / YEARLY (est.)
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$100000K
$130000K

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What You Should Know About Product Manager, EvenUp

At EvenUp, a dynamic generative AI startup based in San Francisco, we are looking for a passionate and innovative Product Manager to join our team. If you are excited about leveraging cutting-edge technology to help personal injury victims get the justice they deserve, this role is for you! At EvenUp, our mission is clear: we aim to level the playing field for those facing daunting challenges in the legal system. As a Product Manager, you will play a pivotal role in defining and executing the product strategy for our AI-powered solutions. You will collaborate closely with engineers, designers, and data scientists, ensuring our software delivers truly impactful features that empower legal teams across various injury cases, from motor vehicle accidents to child abuse. Your expertise will guide your deep understanding of user needs, allowing you to create valuable tools that genuinely make a difference in fast-tracking settlements and boosting payouts for clients. Plus, you will have the opportunity to influence company strategy, translating our vision into actionable plans and executing them with high velocity. The role is hybrid, with the chance to engage with a diverse and talented team in our San Francisco office at least three days a week. Join us at EvenUp and help us revolutionize the personal injury legal landscape with AI!

Frequently Asked Questions (FAQs) for Product Manager Role at EvenUp
What are the key responsibilities of a Product Manager at EvenUp?

As a Product Manager at EvenUp, your key responsibilities include understanding user needs through both qualitative and quantitative research, overseeing the development of AI-powered solutions, collaborating with cross-functional teams, and executing product strategies. You will also ensure that new features align with user feedback and enhance overall validation within the personal injury law sector.

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What qualifications are needed for the Product Manager position at EvenUp?

To qualify for the Product Manager position at EvenUp, candidates should typically have at least 4 years of experience in B2B product management within a startup environment, familiarity with document generation and decision-support tools, and proficiency in AI/ML products. Strong qualitative research skills and a solid foundation in data analysis, particularly SQL, are key assets.

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How does the Product Manager role at EvenUp influence company strategy?

The Product Manager at EvenUp plays a crucial role in shaping the company’s strategy by translating user needs and market research into actionable tactics. This position includes collaborating with various departments such as sales and customer success to ensure that product developments align with overall business goals and contribute to increasing the value delivered to clients.

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What type of work environment can a Product Manager expect at EvenUp?

A Product Manager at EvenUp can expect a fast-paced, high-growth work environment that focuses on rapid iteration and constant learning. Given the hybrid nature of the role, team members engage both in-office and remotely, fostering collaboration and innovation within a supportive culture that values diversity and contribution.

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What opportunities for growth exist for a Product Manager at EvenUp?

EvenUp offers a unique opportunity for growth as a Product Manager by allowing you to take on significant responsibilities from early in your career, work alongside experts in the tech and legal fields, and directly impact the lives of personal injury victims. As the company scales, there will be ample chances for career advancement and professional development.

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Common Interview Questions for Product Manager
How do you prioritize features in product development?

To effectively prioritize features, it’s essential to align them with user needs and strategic goals. Use a combination of quantitative data, user feedback, and business impact analysis to assess which features deliver maximum value. Also, consider the feasibility and resource availability to ensure timely execution.

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Can you describe your experience with AI/ML products?

When discussing your experience with AI/ML products, highlight specific projects where you leveraged machine learning to solve problems. Discuss the methodologies you used, the results achieved, and how these projects improved user engagement or efficiency. Use data to illustrate success whenever possible.

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How do you handle feedback from users during development?

Handling feedback from users involves actively listening and integrating it into the product lifecycle. Establish a feedback loop through surveys or testing. Analyze the data carefully and prioritize changes based on user needs and market demand to enhance product usability.

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What is your approach to collaborating with cross-functional teams?

To collaborate effectively with cross-functional teams, maintain open communication channels, hold regular check-ins, and encourage everyone to contribute ideas. Utilize tools that facilitate transparency and shared objectives, ensuring that all team members are aligned and motivated towards common goals.

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Describe a challenging product feature you worked on and how you approached it.

When describing a challenging product feature, provide context about the problem, your analysis process, and how you collaborated with your team to develop a solution. Emphasize your problem-solving strategies, such as gathering user data and iterating based on testing results.

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How do you stay updated with market trends and user needs?

Staying abreast of market trends and user needs involves participating in industry webinars, reading relevant publications, and networking with professionals. Feedback loops from users and analytics can also provide valuable insights to inform product decisions.

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What metrics do you consider important for product success?

Key metrics for product success include user adoption rates, customer retention, and Net Promoter Score (NPS). Additionally, look at engagement statistics, such as frequency of use and average session duration, to assess whether your features serve user needs effectively.

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How do you balance between speed and quality in product delivery?

Balancing speed and quality entails understanding business needs while ensuring the product meets user expectations. Employ agile methodologies to iterate rapidly, making sure to establish a strong QA process to maintain high standards without compromising the timeline.

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How do you handle conflicts within a team?

Handling conflicts within a team requires a proactive approach, including facilitating open discussions to understand different perspectives and find common ground. Encourage collaboration on solutions and utilize conflict resolution techniques to foster a more positive working environment.

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What excites you about the future of AI in the legal industry?

Discuss your passion for the intersection of AI and legal solutions, emphasizing how AI can streamline processes, improve accuracy, and ultimately serve justice more efficiently. Your enthusiasm for leveraging technology in meaningful ways that directly affect people's lives will resonate in the interview.

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EvenUp employs advanced AI technology under a strict zero-day retention policy. Data is deleted immediately after processing, ensuring no long-term storage risks and highlighting our commitment to data security and client privacy.

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DATE POSTED
February 27, 2025

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