Pearl (JustAnswer)

About The Role

In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.
 

What You’ll Do

• Collaborate with Product and Analytics leadership to structure and perform deep-dive analyses, delivering actionable insights into key business areas
• Analyze large datasets (internal and external) to identify growth and optimization opportunities, translating findings into business recommendations and effectively communicating them to stakeholders, including senior leadership.
• Perform Descriptive and Prescriptive Analytics using ML models, A/B and MAB experimentation, while building reports to understand business trends
• Track and implement business metrics to drive continuous improvement and support data-driven decision-making
• Act as a lead analyst, gaining deep insights into the JustAnswer audience to inform strategic decisions.
   

What We’re Looking For

• 5+ years of experience (preferably within e-commerce or customer experience products).
• Strong proficiency in Excel for analysis and business modeling
• Experience with SQL with a strong ability to write complex queries to extract information and arrive at an answer
• Experience with Google Analytics, BigQuery, PowerBI, Python/R, and ML is desirable.
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, or Hypothesis Testing, with proven ability to analyze results.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.
• English proficiency (at least strong upper-intermediate level).

About The Role

We are looking for Middle and Senior Product Analysts to join our growing analytics team (30+ professionals). In this role, you will drive tangible business impact by delivering high-quality insights and recommendations, leveraging your ability to combine strategic thinking and problem-solving with detailed analysis. You will collaborate closely with Product Managers and cross-functional teams, uncovering business insights, devising optimization strategies, and validating them through experiments.

What You’ll Do

• Conduct deep-dive analyses and deliver actionable insights to improve product performance.
• Analyze large-scale datasets (funnel events, transactional, and text data) to identify growth opportunities.
• Design and interpret A/B tests, MAB experiments, and hypothesis-driven analyses.
• Track and implement key business metrics to support decision-making.
• Work with cutting-edge tools, including Bayesian statistics, ML models, and LLMs.

• Collaborate with a large and highly skilled Analytics team, fostering a knowledge-sharing environment.

   

What We’re Looking For

• 5+ years of experience in product analytics, preferably in e-commerce or customer experience products.
• Proficiency in SQL, with the ability to write complex queries to extract insights and support decision-making.
• Strong proficiency in Excel for analysis and business modeling.
• Experience with Power BI (Tableau experience is also considered).
• Expertise in Descriptive and Inferential Statistical Analysis, A/B testing, and Hypothesis Testing, with a proven ability to analyze results.
• Familiarity with Google Analytics, BigQuery, Python/R, and ML is desirable.
• Excellent communication skills, with confidence in interacting across all levels of management and diverse business functions.

• English proficiency (at least strong upper-intermediate level).

   

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.

• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

   

Perks and Benefits

• Time off throughout the year (paid and unpaid)
• Professional development support and encouragement
• Resources to help improve your overall well-being
• Free JustAnswer membership

About the Role

As a Senior Manager, Analytics at Pearl, you’ll be part of a mission-driven team that helps millions of people get expert answers from doctors, lawyers, mechanics, and more—powered by data, experimentation, and AI. Our Analytics team is at the heart of this mission, building insights and frameworks that guide smarter decisions, fuel innovation, and transform how people connect with expertise.

In this role, you’ll lead a team of talented analysts who work across multiple strategic initiatives—from funnel optimization and customer quality to AI-driven experimentation. You’ll shape how we collect, interpret, and act on data across the business, developing both the technical infrastructure and the analytical culture that enables Pearl to move faster and think smarter.

This is a role for someone who loves data and people in equal measure—someone excited to roll up their sleeves with SQL and Python one moment, and coach their team or present insights to executives the next. You’ll bring a balance of strategic vision, hands-on technical skill, and mentorship to help your team—and the company—reach the next level of data maturity.

What You’ll Do

• Lead & Grow a High-Impact Team: Manage and develop a team of analysts (approx. 6), helping them level up their skills, expand their impact, and grow in their careers.
• Be a Strategic Partner: Collaborate with leaders across the business to shape experiments, define success metrics, and translate data into action.
• Stay Hands-On: Dive deep into data when needed — writing SQL queries, Python scripts, and building Power BI dashboards. Lead by example and set the standard for analytical excellence.
• Champion AI & Innovation: Leverage AI tools and APIs (e.g., ChatGPT, Gemini) to automate insights, explore unstructured data, and modernize the way we do analytics.
• Share the Story: Lead analytics reviews and present findings to cross-functional and executive audiences — turning data into clear, compelling narratives.
• Collaborate Cross-Functionally: Work closely with Data and Engineering teams to ensure data accuracy, experimentation design, and analytics scalability.

What We’re Looking For

• 5–10 years of experience in analytics, data science, or a related field (We’re open to exceptional candidates with slightly less experience who demonstrate strong leadership and deep AI/experimentation expertise.)
• Strong technical skills: SQL, Python, and data visualization tools (Power BI preferred)
• Proven experience designing and analyzing experiments (A/B testing, Bayesian, or multi-armed bandit approaches)
• Experience working with APIs and modern AI tools
• Demonstrated success as a people leader — coaching, mentoring, and developing analysts
• Excellent communication and storytelling skills — able to explain complex data clearly to any audience
• A growth mindset and a passion for applying AI in analytics

What to Expect in Your First 90 Days

• First 30 days: Learn our data, tools, and people. Understand how analytics drives our initiatives.
• By 60 days: Shape team development plans, clarify goals, and start leading key deliverables.
• By 90 days: Deliver your first analytics business review and showcase insights to leadership.

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the Role

As a Business Systems Analyst (BSA) for CRM, you will play a pivotal role in shaping how we communicate with customers at scale. You’ll act as the primary business owner for Touchpoint, our in-house marketing automation platform, translating business communication and engagement needs into scalable, data-driven CRM capabilities.

This role sits at the intersection of Marketing, Product, Engineering, Analytics, and Branding. You’ll partner closely with stakeholders to define CRM strategy, prioritize initiatives, and deliver high-impact messaging experiences across email and SMS. You will balance day-to-day operational needs with longer-term platform evolution — including AI-driven personalization, experimentation, and cost efficiency.


 

What You’ll Do

CRM Platform Ownership & Requirements Management (20%)

• Act as the primary business owner for Touchpoint, our in-house marketing automation platform.
• Partner with stakeholders across Product, Marketing, Branding, Finance, and Engineering to gather, refine, and document detailed functional and non-functional requirements.
• Ensure CRM capabilities evolve to support AI-driven segmentation, personalization, and retention use cases.
• Balance operational needs with longer-term platform scalability and growth initiatives.

Support for Emerging Businesses & New Use Cases (20%)

• Support CRM communication requirements for emerging businesses (e.g., Fount), including onboarding flows, lifecycle messaging, and experimentation.
• Help define repeatable CRM patterns that can be reused as new businesses launch.

CRM Experimentation, Optimization & Cost Efficiency (30%)

• Partner with CRM and Branding teams to define, execute, and analyze A/B tests aimed at improving engagement, retention, and customer satisfaction.
• Continuously optimize email and SMS workflows to reduce messaging costs while maintaining or improving business performance (e.g. retention).
• Use data and experimentation results to inform prioritization and roadmap decisions.

Vendor & Third-Party Coordination (5%)

• Act as the liaison with third-party messaging providers (e.g., Twilio).
• Coordinate feature requests, issue resolution, and roadmap dependencies with external partners.
• Support vendor performance reviews and cost optimization initiatives.

Planning, Prioritization & Delivery Management (25%)

• Collaborate with stakeholders to define, negotiate, and prioritize quarterly OKRs for the CRM development team.
• Translate business priorities into clear, actionable backlog items.
• Identify and resolve implementation blockers.
• Run cross-functional status meetings and communicate progress, risks, and outcomes to stakeholders.

What We’re Looking For

• 3+ years of experience in Business Systems Analysis and/or Business Analysis and/or Product Manager including end-to-end business requirements identification and gathering.
• Hands-on experience with CRM or marketing automation platforms and designing/supporting email and SMS workflows.
• Familiarity with lifecycle messaging, segmentation, and experimentation concepts.
• Strong communication skills and ability to translate between business users and technical teams.
• Proven ability to prioritize, make trade-offs, and drive decisions across multiple stakeholders.
• Experience in cross-functional coordination with Product, Engineering, UX, QA, Marketing, and external partners.
• Ability to work with AI-enabled CRM features, translating business needs into clear requirements.
• Data analysis skills, including SQL querying, Excel, and BI tools (e.g., Power BI), are a plus.
• English proficiency (at least strong upper-intermediate level).