Arity sits at the intersection of mobility, data, and insurance technology. As a Product Manager here, you are not just managing a backlog; you are leveraging massive datasets—derived from billions of miles of driving data—to create safer, smarter transportation solutions. Arity operates as a technology company founded by Allstate, giving it the agility of a startup with the backing of a Fortune 100 enterprise. This unique structure means your work directly impacts how risk is assessed, how drivers are coached, and how transportation ecosystems evolve.

In this role, you will define the "what" and the "why" for products that often involve complex telematics, mobile app SDKs, and predictive analytics. You will work cross-functionally with data scientists, engineers, and designers to turn raw driving data into actionable insights for insurance carriers, sharing economy companies, and government agencies. The environment is fast-paced and data-centric, requiring you to balance technical feasibility with market viability.

You should expect to navigate a complex stakeholder landscape. Because Arity serves both internal partners within the Allstate family and external third-party clients, your ability to align diverse teams around a shared product vision is critical. You are the bridge between technical innovation and business value, driving initiatives that scale from concept to millions of users.

The questions you face will depend heavily on the specific team and the format (HireVue vs. Live), but they generally fall into predictable categories. Recent data suggests that initial screens may focus heavily on functional questions, while live rounds dive deep into behavioral and situational challenges.

Behavioral & Cultural Fit

These questions assess your ability to survive and thrive in the Arity ecosystem. Interviewers are looking for red flags regarding ego or inability to collaborate.

• "Tell me about a time you failed. What did you learn?"
• "Describe a conflict you had with a coworker and how you resolved it."

Preparation for Arity requires a shift in mindset. You need to demonstrate not just product fundamentals, but also the resilience to navigate a hybrid corporate-startup culture. The interviewers are looking for candidates who can bring structure to ambiguity and handle differing viewpoints professionally.

Focus your preparation on these key evaluation criteria:

Product Sense & Vision – You must articulate a clear vision for how data can solve real-world problems. Interviewers will assess your ability to look beyond immediate features and understand the broader ecosystem of mobility and insurance. You need to show you can define a roadmap even when requirements are initially vague.

Stakeholder Management & Diplomacy – This is a critical evaluation area at Arity. You will interact with stakeholders from both the agile Arity side and the broader Allstate organization. Interviewers look for emotional intelligence and the ability to navigate friction between teams with different operational speeds and priorities.

Data Fluency – Arity is a data company first. You do not need to be a data scientist, but you must be comfortable discussing metrics, KPIs, and how to use data to validate hypotheses. Expect to discuss how you measure success and how you pivot based on analytical findings.

Adaptability & Grit – The environment can change quickly, and processes may sometimes feel unstructured. You will be evaluated on your ability to maintain momentum and positive intent even when facing roadblocks or shifting organizational goals.

The interview process for a Product Manager at Arity typically spans 2.5 to 4 weeks. While the specific steps can vary depending on the team and seniority, the general flow is designed to test both your functional skills and your cultural alignment. It is worth noting that while Arity operates independently, the HR coordination is often handled through Allstate, so you may interact with systems and recruiters from the parent company.

Recently, candidates have reported an initial digital screening step using tools like HireVue. This may involve an AI-driven video introduction followed by audio-only questions. This stage is often strictly functional, with limited behavioral components. Following a successful screen, you will move to a phone interview with a recruiter or hiring manager to discuss your background and interest in the role.

The final stage is a rigorous onsite (or virtual onsite) loop. This typically consists of back-to-back sessions with cross-functional partners, including engineering leads, design partners, and other product managers. You may encounter a mix of Arity employees and Allstate stakeholders. Be prepared for a dynamic where different interviewers may have different perspectives on the product's direction. Your goal is to demonstrate that you can unify these perspectives.

The timeline above illustrates the progression from the initial digital or recruiter screen through to the final panel rounds. Use this to manage your energy; the early stages may be impersonal (AI/Digital), while the later stages require high emotional intelligence to navigate complex team dynamics.

The interview loop at Arity is designed to probe your ability to deliver in a complex, data-heavy environment. Based on candidate experiences, the difficulty is generally Medium, but the challenge often lies in navigating the organizational context rather than just answering textbook product questions.

Product Strategy & Execution

Interviewers want to know if you can take a high-level concept and break it down into an executable plan. There is a strong emphasis on "scaling" products. Candidates have noted that some teams discuss scaling initiatives without a clearly defined path, so you may need to drive the conversation on how you would approach this.

Be ready to go over:

• Roadmap definition – How you prioritize features when resources are constrained.
• Scaling products – Moving from an MVP to a mature product serving millions of users.
• Ambiguity – How you make decisions when the "vision" is vague or undefined.

Example questions or scenarios:

• "Describe a time you had to scale a product without a clear initial strategy."
• "How do you prioritize a backlog when stakeholders have conflicting requests?"
• "Walk me through how you would launch a new telematics feature for a specific user segment."

Stakeholder & Conflict Management

This is perhaps the most significant behavioral filter. You may face scenarios where interviewers test your patience or present conflicting viewpoints. Successful candidates demonstrate high ego-maturity and the ability to foster collaboration even when teams (e.g., Arity vs. Allstate) are misaligned.

Be ready to go over:

• Navigating bureaucracy – Getting things done in a large organization.
• Conflict resolution – Handling disagreements between engineering and business teams.
• Influence without authority – Convincing senior leadership to back your plan.

Example questions or scenarios:

• "Tell me about a time you dealt with a difficult stakeholder. How did you handle it?"
• "How do you manage expectations when two internal teams have opposing goals?"
• "Describe a situation where you had to push back on a request from senior leadership."

Technical & Data Literacy

You will not be coding, but you must understand the implications of the technology you manage. Since Arity deals with mobile SDKs and massive data streams, you need to show you can speak the language of engineers and data scientists.

Be ready to go over:

• Data-driven decision making – Using metrics to justify product changes.
• Working with technical teams – Understanding the SDLC and agile methodologies.
• Telematics concepts (Advanced) – Familiarity with how sensor data is collected and used (helpful but not always mandatory).

Example questions or scenarios:

• "How do you determine if a product launch was successful using data?"
• "Explain a complex technical concept to a non-technical stakeholder."
• "How would you validate a hypothesis using driving data?"

As a Product Manager at Arity, your daily work revolves around translating complex data capabilities into market-ready products. You act as the central hub for your product vertical, which could be anything from Shared Mobility to Insurance Telematics.

You will spend a significant portion of your time collaborating with Engineering and Data Science. Unlike standard consumer apps, Arity's products rely heavily on backend logic, algorithms, and predictive modeling. You will define the requirements for these technical teams, ensuring that the data models being built actually solve the business problem at hand.

Another major responsibility is Stakeholder Alignment. You will frequently present roadmaps and progress updates to leadership within both Arity and Allstate. This requires you to be a translator—turning technical progress into business value narratives. You will also be responsible for Discovery and Validation, working with designers to ensure that the solutions you build are user-centric, despite the heavy B2B or B2B2C nature of the business.