Persona

3 weeks ago

Software Engineer, Data Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 minutes agoStatus: Live

Job Summary

Build customer-facing data products that help users query, explore, export, and act on their data. You’ll work on in-dashboard SQL experiences and bulk exports, along with AI-powered and agentic analytics that let customers ask questions in natural language. Partner with product, design, data science, and engineering to deliver backend services, APIs, and query-layer capabilities for fast, reliable access to large datasets.

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and grow customer-facing data products, including in-dashboard SQL, custom/bulk exports, and new data-rich features.
•Develop AI-powered and agentic analytics tools that enable natural-language questions over customer data.
•Build backend services, APIs, and the query layer to power data-intensive capabilities over large datasets in real time.
•Partner with product and design to translate customer and business needs into reliable, performant features.

Pay and Benefits

Salary: USD 130,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveFamily PlanningLearning BudgetWellness StipendCo-working StipendPension Contribution

Key Requirements

•3+ years of software engineering experience focused on data-intensive products or backend services.
•Proficiency in a backend language (Python, Ruby on Rails, or Go) and comfort shipping end-to-end features across the stack.
•Experience building user-facing products or APIs backed by large datasets with attention to performance, correctness, and security/PII handling.
•Working familiarity with SQL and analytical data stores such as Snowflake and ClickHouse.
•Excellent communication and collaboration skills, with a track record of working closely with product and design.

Experience:3+ yearsData-intensive productsBackend services

Skills:CommunicationCollaborationOwnership

Tech Stack:PythonRuby on RailsGoSQLSnowflakeClickHouseAPIsReactGoogle Cloud (GCP)AI/LLMAgentic analytics

Company Brief

Persona

Provides a configurable, privacy-first identity infrastructure platform for businesses to collect, verify, manage, and make decisions about individuals’ and business identities for KYC/AML, fraud prevention, and onboarding.

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 4.3

Website LinkedIn Glassdoor

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Persona

3 weeks ago

Software Engineer, Data Products

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 minutes agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build and grow customer-facing data products, including in-dashboard SQL, custom/bulk exports, and new data-rich features.
•Develop AI-powered and agentic analytics tools that enable natural-language questions over customer data.
•Build backend services, APIs, and the query layer to power data-intensive capabilities over large datasets in real time.
•Partner with product and design to translate customer and business needs into reliable, performant features.

Pay and Benefits

Salary: USD 130,000 - 220,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kPaid LeaveFamily PlanningLearning BudgetWellness StipendCo-working StipendPension Contribution

Key Requirements

•3+ years of software engineering experience focused on data-intensive products or backend services.
•Proficiency in a backend language (Python, Ruby on Rails, or Go) and comfort shipping end-to-end features across the stack.
•Experience building user-facing products or APIs backed by large datasets with attention to performance, correctness, and security/PII handling.
•Working familiarity with SQL and analytical data stores such as Snowflake and ClickHouse.
•Excellent communication and collaboration skills, with a track record of working closely with product and design.

Experience:3+ yearsData-intensive productsBackend services

Skills:CommunicationCollaborationOwnership

Tech Stack:PythonRuby on RailsGoSQLSnowflakeClickHouseAPIsReactGoogle Cloud (GCP)AI/LLMAgentic analytics

Company Brief

Persona

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: San Francisco, United States

Founded: 2018

Glassdoor: 4.3

Website LinkedIn Glassdoor