About Bright

Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning. It is a mobile app that combines all the tools and tech needed to manage and get rid of debt.

Bright’s tools include credit score building, automated debt paydown plans, financial planning, budget planning tools, and refinance loans. It works with credit cards, student loans and car loans.

Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews.

Bright is backed by three major venture capital funds (Sequoia, Falcon Edge and Hummingbird) and with top angel investors from the US, UK and India, Bright has raised +$40 million in funding to date.

Bright has recently raised $50M in debt funding from Encina Lender Finance, for its credit business growth. Encina Lender Finance provides lending solutions to consumer and commercial speciality finance companies across the U.S. and Canada.

Today we are among the top 8 US FinTech companies. We will become a top-100 US financial institution, with the unique strength of data science and predictive modeling to enhance financial products for a user’s life outcomes.

We will be the first at-scale Consumer Tech company, built in India for Global markets.

About Our Founders:

Bright was founded in 2019 by a founding team from McKinsey’s Banking Practice (Petko Plachkov and AviPatchava) and InMobi Data Scientist (Avi Patchava, Varun Modi, Avinash Ramakath, Jayashree Merwade)

Responsibilities

• Has had 2 - 3.8 years of experience in strong analytical problems.

• Has a product mindset and wants to grow in the product management vertical (Strong will to grow)

• Strong proficiency in SQL and experience with BI/visualization tools (Tableau, Looker, Power BI, etc.).

• Ideal if they have worked in AI analytics 

• Solid understanding of product metrics, funnels, retention, and growth levers.

• Proven ability to translate data into actionable product insights and recommendations.

• Experience working closely with product managers, engineers, and designers in agile teams.

• Hands-on expertise with experimentation frameworks (A/B testing, multivariate testing).

• Strong statistical knowledge and comfort with Python/R for advanced analysis.

• Exceptional communication skills to influence stakeholders with data-driven storytelling.

• Must have - Very hungry to learn and grow fast and Strong Discipline.

What they will learn

• Working in a fast paced setup - Directly with consumer AI products

• Ownership from Day 1 

• Product coaching from Senior Product Managers and Experienced Analysts

• Ability to be a manager and grow their own team over time 

Long-term plan for this role

• Role would start as an analytical owner of 1 product (AI)

• They will grow to own E2E analytics for 2-3 products

• We will coach them both on analytics and product thinking

• Based on the candidate's affinity, we have a career path of progressing as an APM OR as an Analytical Manager