Principal Software Engineer, Core Pricing (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Principal Software Engineer, Core Pricing in the United States.

As a Principal Software Engineer, you will lead the technical direction for a core pricing platform that drives revenue and optimizes financial outcomes across multiple product teams. You will architect and develop scalable backend services in Python, collaborate closely with ML, product, and capital teams, and influence key business decisions through data-driven insights. This role combines hands-on engineering with strategic leadership, allowing you to mentor engineers, design robust systems, and directly impact pricing strategies and monetization models. You will thrive in a dynamic, collaborative fintech environment where innovation, scalability, and measurable business impact are at the forefront.

Accountabilities

• Lead the design and development of distributed backend systems in Python that power dynamic pricing and revenue models.
• Translate high-level business objectives into concrete engineering initiatives.
• Build experimentation infrastructure and collaborate with ML and capital teams for pricing optimization.
• Architect reusable services exposing pricing logic across multiple product teams.
• Serve as a thought partner to product and business leads, applying strong quantitative and business acumen.
• Mentor engineers across the team, maintaining a high technical standard while remaining hands-on.
• Ensure pricing systems evolve to meet fast-scaling fintech requirements without extending into DevOps scope.

• 10+ years of professional software engineering experience, including roles as Staff or Principal Engineer.
• Proven experience building distributed backend systems in Python or similar languages.
• Experience leading technical direction for platform teams serving multiple product surfaces.
• Demonstrated ability to connect engineering efforts with business outcomes, particularly in revenue optimization or monetization.
• Strong communication and collaboration skills, capable of interfacing with ML, product, and finance stakeholders.
• Hands-on experience launching experiments and interpreting their impact on revenue or growth metrics.
• Preferred: experience in fintech, e-commerce, or other domains with complex pricing and monetization logic.
• Preferred: background in applied math, financial modeling, or economics.
• Familiarity with pricing engines, experimentation platforms, or fee optimization frameworks.
• Passion for building platforms that empower other teams to move faster and make data-driven decisions.

• Competitive compensation including base salary, bonus, and equity.
• Comprehensive medical, dental, and vision coverage, including Health Savings Account contributions.
• 401(k) plan with 100% company match up to $4,500 and immediate vesting, plus after-tax savings.
• Employee Stock Purchase Plan (ESPP).
• Life and disability insurance.
• Generous leave policies: holiday, vacation, sick, safety, parental, family care, and military leave.
• Annual wellness, technology, and ergonomic reimbursement programs.
• Social activities including team events, all-company updates, ERGs, and interest groups (book clubs, fitness, investing, volunteering).
• Catered lunches, snacks, and drinks when working in offices.
• Remote-first work environment with optional collaboration days at company offices.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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