[All remote jobs](https://jobicy.com/jobs.md)Open role[![YipitData logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/06/e1bee9df-221.jpg)](https://jobicy.com/company/yipitdata.md)Remote opportunity at[YipitData](https://jobicy.com/company/yipitdata.md) # Senior Software Engineer Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/yipitdata.md)Share31 Aug 2026Published34Listing views1Application actions30 Sep 2026Apply before Opportunity details ## About this role. AI SummaryYipitData is seeking a Senior Software Engineer to own and ship production-grade systems across its investor platform, Signals application, and AI-powered customer-insights products. The role is full-stack and requires work across Python, TypeScript/React, AWS, Databricks, data pipelines, and infrastructure. The engineer will lead features from architecture through deployment while partnering directly with product, data, revenue, customers, and other stakeholders. Success requires a high-ownership, AI-accelerated development workflow, comfort with ambiguity, reliable production support, and strong communication under pressure. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, high-output full-stack role with end-to-end ownership across multiple customer-facing products and production systems. It requires technical breadth, independent problem solving, stakeholder management, and rapid execution in an ambiguous environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianAbove market$945,000US market range$145k–$210k0$1040k AI insightThe posting explicitly states annual on-target earnings of “$1700K - $190K,” which parses to USD 1,700,000 and USD 190,000; because the figures are internally inconsistent, the disclosed values are ordered numerically for the calculated median of $945,000. This median is not representative of the likely market rate due to the apparent formatting or typographical issue. Estimated US market compensation for a senior full-stack software engineer with Python, React, AWS, and data-platform experience is approximately $145,000-$210,000 annually, excluding equity and variable compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Software Engineering](https://jobicy.com/jobs?search_keywords=Software%20Engineering.md)[Full-Stack Development](https://jobicy.com/jobs?search_keywords=Full-Stack%20Development.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[TypeScript](https://jobicy.com/jobs?search_keywords=TypeScript.md)[React](https://jobicy.com/jobs?search_keywords=React.md)[AWS](https://jobicy.com/jobs?search_keywords=AWS.md)[Databricks](https://jobicy.com/jobs?search_keywords=Databricks.md)[Data Pipelines](https://jobicy.com/jobs?search_keywords=Data%20Pipelines.md)[AI Coding Tools](https://jobicy.com/jobs?search_keywords=AI%20Coding%20Tools.md)[System Design](https://jobicy.com/jobs?search_keywords=System%20Design.md) Sample interview questionsDescribe a full-stack feature you owned from initial problem definition through production deployment.I would explain the business problem, how I aligned requirements with stakeholders, the architecture and technology choices I made, and how I implemented, tested, deployed, and monitored the feature. I would include measurable outcomes such as adoption, reliability, latency, or operational improvements. How do you make technical decisions when requirements are ambiguous and delivery speed matters? I first clarify the desired business outcome, constraints, and reversible versus irreversible decisions. I propose a small, scalable initial solution, document tradeoffs, validate assumptions with stakeholders, and iterate using production feedback while protecting reliability and maintainability. How have you used AI coding tools in your daily engineering workflow? I use tools such as Claude Code, Cursor, or Codex to accelerate focused tasks including code exploration, draft implementations, test generation, refactoring options, documentation, and code review preparation. I validate all generated output through engineering judgment, automated tests, security review, and adherence to team standards. Tell me about a production incident you managed. I would describe how I assessed impact, communicated status early, mitigated the immediate issue, and coordinated the technical response. After recovery, I would conduct a blameless review, identify root causes, and deliver preventive improvements such as monitoring, tests, runbooks, or architectural safeguards. How do you collaborate with non-technical stakeholders on engineering tradeoffs? I translate technical options into customer impact, delivery timing, risk, and cost rather than relying on implementation jargon. I provide clear recommendations, make tradeoffs explicit, confirm decisions in writing, and keep stakeholders informed as scope or risks change. About Us YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B. Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments. Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers — ranging from the world’s top investment funds to Fortune 500 companies — depend on to drive high-stakes decisions. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture — recognized by Inc. as a Best Workplace for three consecutive years — emphasizes transparency, ownership, and continuous mastery. What It’s Like to Work at YipitData YipitData isn’t a place for coasting — it’s a launchpad for ambitious, impact-driven professionals. From day one, you’ll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. * Ownership That Matters: You’ll lead high-impact projects with real business outcomes * Rapid Growth: We compress years of learning into months * Merit Over Titles: Trust and responsibility are earned through execution, not tenure * Velocity with Purpose: We move fast, support each other, and aim high — always with purpose and intention About The Role We’re looking for a seasoned, high-output engineer who can operate within our product portfolio — from our Public Investor platform and Signals application to our AI-powered customer insights agent. You’ll execute on well-defined work, but the expectation is that you go well beyond that — proactively identifying opportunities, improving systems, and driving outcomes that move the business forward. You’ll be responsible for production-grade systems that our customers and internal teams depend on daily. That means being responsive, reliable, and an excellent communicator — both when things are going well and especially when they’re not. The ideal candidate treats AI coding tools as core infrastructure for how they work — not a novelty. You’ve shipped full-stack applications, you’re comfortable navigating ambiguity, and you have a bias toward action that compounds across a small team. This is a remote-friendly opportunity that can sit in NYC (where our headquarters are located), one of our office hubs (Austin, Miami, or Mountain View), or anywhere else in the US. However, depending upon where the remote work is performed, income could be subject to New York State tax withholding. As a Senior Software Engineer, You Will * Own features and systems end-to-end across multiple product surfaces — architecture, implementation, deployment, and iteration * Design systems that are clean, maintainable, and built to scale — you know how software should be structured * Work directly with stakeholders across engineering, product, data, revenue, and customers to translate business problems into shipped software * Drive initiatives across teams — you’re not waiting for a PM to write a spec; you’re in the room shaping what gets built and why * Use AI tools (Claude Code, Cursor, Codex) as a daily force multiplier — for implementation, code review, testing, documentation, and exploration * Operate across the full stack: backend services, frontend applications, data pipelines, and infrastructure * Make pragmatic technical decisions that balance speed, quality, and maintainability in a fast-moving environment * Raise the bar for the engineering team through code quality, tooling improvements, and knowledge sharing You Are Likely To Succeed If * You have 4+ years of hands-on software development experience with a proven track record of shipping customer-facing applications — and the impact to show for it * You are stack-flexible: comfortable working across Python, TypeScript/React, and cloud infrastructure (AWS, Databricks). You learn new tools fast and don’t let unfamiliar tech slow you down * You have an AI-accelerated workflow — you actively use AI coding tools to ship faster, not as an experiment, but as how you work every day * You thrive in ambiguity — you can take a vague business problem, break it down, and deliver a working solution without heavy-handed direction * You are a strong communicator who can work directly with non-technical stakeholders, translate between business needs and engineering tradeoffs, and drive alignment * You are responsive and reliable — you take ownership of production systems and communicate proactively, especially under pressure * You have a bias toward action and ownership — you see a problem, you fix it; you see an opportunity, you ship it * You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline What We Offer Our compensation package includes comprehensive benefits, perks, and a competitive salary: * Flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more * Your growth at YipitData is determined by the impact you make, not by tenure, unnecessary facetime, or office politics * The annual on-target earnings for this position is anticipated to be up to $1700K – $190K. The final offer may be determined by a number of factors, including, but not limited to, the applicant’s experience, knowledge, skills, abilities, as well as internal team benchmarks This role may be performed fully remotely within the United States. Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer. 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