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Lead Android Engineer
Contract to Hire
Hybrid – Onsite in Irving, TX (75063) Tue–Thu; Remote Mon & Fri
Our Fortune 500 retail client is seeking a hands-on Lead Android Engineer to drive technical excellence and innovation across their mobile platform. This role will help evolve a mature Android application while delivering high-quality experiences that support millions of customers across eCommerce, loyalty, personalization, and product launches.
The team is focused on differentiating the mobile app from the web experience through personalized content, contextual assistance, and intelligent upsell opportunities. This role requires someone who has made architectural decisions, influenced technical direction, and led implementation — not just executed against predefined designs.
This is not a pure architect role, but it requires strong architectural judgment combined with deep hands-on development expertise.
Key Responsibilities
- Serve as a hands-on technical leader within the Android team.
- Design, build, and enhance Android applications using Kotlin and Jetpack Compose.
- Make informed architectural decisions within an established Android application using MVVM and Clean Architecture principles.
- Guide the implementation of new features in alignment with scalable, maintainable architecture standards.
- Partner closely with the Mobile Architect while owning day-to-day technical decision-making for the Android team.
- Act as the go-to technical resource for Android engineers, helping answer implementation questions and remove blockers.
- Integrate and manage third-party SDKs and libraries, understanding dependency management, versioning conflicts, and potential performance implications.
- Implement API integrations and evaluate libraries needed to support new functionality.
- Contribute to proof-of-concepts (POCs) that explore innovative mobile capabilities and customer engagement strategies.
- Develop personalization features that differentiate the app experience from the web.
- Implement and optimize push notification capabilities to drive engagement and upsell opportunities.
- Strengthen application stability by implementing unit tests and embedding automated quality checks within the CI/CD pipeline from the Android codebase.
- Participate in production incident management and provide technical leadership during issue resolution.
- Conduct thorough PR reviews, promote code quality standards, and ensure proper documentation.
- Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve efficiency and elevate engineering practices.
- Stay current with Android ecosystem trends and proactively recommend improvements.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
- 7+ years of hands-on Android development experience.
- 5+ years of Kotlin development experience.
- Strong experience with Jetpack Compose.
- Proven experience making architectural decisions within an existing Android application.
- Hands-on experience implementing MVVM and Clean Architecture principles.
- Experience integrating third-party SDKs and adding libraries within complex Android projects.
- Experience implementing REST API integrations and managing dependencies.
- Strong unit testing experience and experience improving application stability.
- Experience contributing to accessibility (ADA) improvements.
- Hands-on experience with Google Play Console, including publishing and maintaining Android applications.
- Experience working in Agile development environments.
- Must be authorized to work in the U.S. without sponsorship and able to convert to a full-time W-2 employee upon completion of the contract.
Technical Skills
- Kotlin, Android Studio, Jetpack Compose
- MVVM, Clean Architecture
- Hilt, Gradle
- JSON, REST APIs
- SDK & third-party library integration
- Firebase, Crashlytics, Adobe Analytics, Google Analytics
- Push Notifications
- CI/CD integrations at the Android application level
- AI-assisted development tools (e.g., GitHub Copilot)
Work Environment
- Hybrid schedule (Irving, TX)
- On-call support may be required.
- Occasional weekend or evening work may be required.
*Final compensation will be determined based on experience, skills, and location*
hackajob on-demand focuses on matching talented contractors like you with organisations seeking specific skills for their projects. We use our platform to connect you with exciting contract opportunities and discuss projects on behalf of the companies we partner with.
Job Title: Sr. Backend Java Developer
Location: McLean, VA - onsite - 5 days/week
Description:
They’re looking for a Senior Backend Developer to join an Agile team responsible for a mission-critical web platform. You’ll work on stabilizing and enhancing existing systems while driving modernization using Java and AWS. This role suits a pragmatic, hands-on engineer who enjoys owning backend systems end-to-end and shaping technical direction in a regulated environment.
What You’ll Do
- Design, build, and maintain backend services using Java and Spring Boot
- Develop and evolve microservices and REST APIs
- Modernize legacy backend components while ensuring system stability
- Design and optimize PostgreSQL schemas and queries. Integrate services with AWS (Lambda, S3, API Gateway, SQS, EventBridge, etc.)
- Apply event-driven and cloud-native patterns to improve scalability and resilience
- Write unit and integration tests and participate in code reviews
- Support production systems, debugging issues, and improving observability
- Collaborate closely with Product, Frontend, QA, and DevOps teams in an Agile environment
What We’re Looking For
- Strong experience with Java and Spring Boot
- Solid understanding of backend architecture, microservices, and design patterns
- Hands-on experience with AWS services Strong SQL skills and experience with PostgreSQL
- Experience working with legacy systems and incremental modernization
- Familiarity with CI/CD pipelines and containerized deployments
- Financial Services or Wealth Management experience is a plus
- Ownership mindset and strong problem-solving skills
Technology Stack Languages & Frameworks: Java 23, Spring Boot 3.x Architecture: Microservices, REST APIs, event-driven systems Database: PostgreSQL Cloud: AWS DevOps: Git, Gradle, Docker, CI/CD Observability: New Relic, Elasticsearch Productivity: GitHub Copilot
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Compensation
$170k-$225k
0.17%-1.04%
TLDR
We are growing fast, profitable, and need to hire a Founding Back End Engineer ASAP. This role is focused on selling Neon’s automation platform to healthcare and life sciences organizations, owning the full sales cycle from prospecting through close. Ideal candidates have enterprise SaaS sales experience, thrive in high-growth environments, and are motivated to build a category-defining company. You should have at least 4 years of experience.
Our Market
The crisis: Sarah delayed cancer treatment for weeks facing massive monthly costs. Marcus's autoimmune condition worsened while battling insurance denials.
Over 50% of critical prescriptions are abandoned due to:
- Cost barriers: Patients with high copays are 5x more likely to abandon treatment
- Insurance maze: Complex prior authorizations block access
- Logistical challenges: Coordinating medical visits for treatments
Neon's technology eliminates these obstacles by automating patient access workflows for pharma companies: —automating authorizations, streamlining benefits verification, and unlocking financial assistance.
Why Join?
- Frighteningly ambitious: We’re seasoned builders on a mission to create a $200B+ company—on the scale of Palantir or ServiceNow—serving the largest healthcare enterprises.
- Experienced founding team: Built by exited founders, YC & MIT alum, ex-Tesla, ex-Google engineers.
- Hypergrowth with stability: We went from initial idea to 7+ figure customer contracts in just 4 months—in an industry where sales cycles typically take 12-18 months. We are profitable and relentlessly focused on execution.
- Powerhouse backing: We’re funded by elite Silicon Valley VCs who've backed unicorns like DoorDash, Lyft, and Mammoth Biosciences. And strategic healthcare investors with deep industry connections.
- Outsized impact & opportunity: Work at the intersection of agentic AI, healthcare transformation, and life-changing patient outcomes.
Required Skills
Technical skills:
- Proficiency with Node, Typescript, and Python.
- Good understanding of system design concepts - distributed systems, reliability/performance tradeoffs
- Experience in API design, implementation, and documentation
- Experience using AI coding tools (Cursor, Github Copilot, Claude, etc)
- Experience working with CI/CD systems and good DevOps skills a nice to have
- Excellent documentation and testing habits
- Proficiency with version control (Git)
Soft skills:
- 10x mindset - you’ll be among the first engineering hires!
- You are a fun human!
- Good time management and planning skills
Experience
4-7 years of experience (or equivalent) as a software engineer.
We’re leveling this role to Pave’s “P4” level: Leads project teams, provides direction, and keeps stakeholders informed. Determines key milestones and provides updates and check-ins to relevant teams and partners.
- You are able to work with the rest of the team to:
- Define priorities
- Suggest good solutions
- Excel at implementation
- You pick up concepts quickly, pattern match on past problems.
- You are obsessed with speed and quality, and help embed that quality into the rest of the team.
- You are self-directed, and do not need help organizing / prioritizing your time.
Specific project experience
- Nice if you have worked on distributed architectures in the past, but not a strict requirement.
- You must have experience working on projects touching many parts of a large codebase.
Role:
Join project teams across the U.S. as the on-site catalyst who turns AI ideas into working reality. Partnering with each project’s AI Champion (Project Manager or Superintendent), you’ll uncover pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. When needed, you will develop user stories and coordinate development with the central AI Studio. You’ll help advance the vision of the “Construction Site of the Future,” showing how agentic AI will transform project operations.
Location: New Haven, Connecticut
Responsibilities:
- Opportunity hunting and workflow redesign – Lead Lean/Six Sigma discovery workshops; map value streams, assess process and data maturity, and log low-effort/high-impact AI use cases.
- Process and data maturity assessment – Evaluate each jobsite’s current workflows and underlying data; surface gaps that block AI adoption and develop phased improvement plans with Operations Excellence to establish the right process baseline before deploying agents.
- Assess the market solutions – Evaluate off-the-shelf and platform tools; launch pilots, measure impact, and scale wins.
- Rapid AI-agent builds – Convert user stories into production-ready agents in Copilot Studio / Power Apps/Automate, ChatGPT Enterprise, or code-first frameworks within days; wire them to Teams/SharePoint on the front end and Databricks Lakehouse or other sources on the back end.
- Enterprise-grade engineering & LLMOps – Build RAG pipelines backed by Delta tables, Unity Catalog, and Databricks Vector Search; automate infra with GitHub Actions / Posit; monitor latency, cost, adoption, and drift.
- Data integrations – Partner with Data Engineering to design and maintain ETL pipelines, API integrations, and event-driven connectors feeding RAG and agents.
- Cross-cloud orchestration – Blend OpenAI, Azure OpenAI, and AWS Bedrock behind secure custom connectors; package agents for seamless rollout.
- Change enablement – Train crews, gather feedback, iterate, and track adoption and ROI metrics; apply influence model principles to embed agents into daily routines and SOPs, and track behavior change KPIs.
- Stakeholder communication – Brief project leadership and clients on agent impact in clear business terms; contribute use cases and playbooks for “Construction Site of the Future.”
- Escalation & hand-off – Draft clear user stories, data specs, and acceptance criteria for any complex solution that requires the central AI Solution Engineers or Data Engineering / Data Science team to lean in.
Qualifications:
- 3+ years in AI engineering / full-stack data applications or data science, including 2+ years building production LLM/RAG solutions.
- Bachelor’s in CS, Engineering, Physics, or a related field; Master’s preferred.
- Prior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.
- Demonstrated process excellence background (Lean/Six Sigma Green Belt or equivalent) with experience diagnosing process and data gaps and supporting change management plans with Operations Excellence.
- Strong facilitation and communication skills.
- Hands-on expertise with Copilot Studio, Power Apps/Automate, custom connectors, and CoE Toolkit governance.
- Programming & data stack: Python, SQL, Databricks Lakehouse, vector stores.
- DevOps & IaC: GitHub Actions (or Azure DevOps) and Posit Workbench/Connect automation or comparable CI/CD tooling; strong Git/GitHub workflow discipline.
- Integration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.
- Willing and able to travel and work on active jobsites.
Role: Java Solution engineer Architect
Skills: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Experience: 15 + Years
Location: Chicago
We are seeking a highly skilled and experienced Java Solution engineer Architect who brings more than traditional development capability—someone with a core engineering mindset, strong independent problem‑solving skills, and the ability to influence and uplevel an existing team. This role is central to our transformation journey to modernize legacy systems and move toward an autopilot engineering model. The ideal candidate is not an “order-taker” but a Better Engineer—someone who can diagnose issues, architect solutions, and drive modernization without needing step-by-step direction.
Job Description:
Tech Stack: Core Java, Azure (Public Cloud), AI-assisted development tools (GitHub Copilot, etc.)
Transformation & Coaching
- Assessment & Roadmap Creation:
- Evaluate the current technology landscape, identify gaps, and shape the transformation roadmap for modernization.
- Culture Change Agent:
- Break entrenched “comfort zone” patterns across a team with 10+ year legacy experience.
- Mentor team members and interns on modern engineering practices, automation-first thinking, and cloud-native principles.
- AI Adoption Leader:
- Promote and operationalize the use of GitHub Copilot and other AI tools for:
- Unit test generation
- Code reviews & optimization
- Issue impact diagnosis
- Development efficiency
Technical Leadership & Delivery
- Self-Sufficient Execution:
- Build systems independently without needing detailed “how-to” instructions. Should naturally handle engineering essentials such as timeouts, retries, dead letter queues, error handling, and resiliency patterns.
- Hands-on Development:
- Write high‑quality Java code while enhancing CI/CD pipelines, improving automated testing, and increasing code coverage.
- Cloud & Infrastructure Ownership:
- Drive Azure-related engineering tasks including IAM, horizontal/vertical scaling, monitoring, and Infrastructure-as-Code (Terraform).
- Operate with a philosophy of application teams owning their infrastructure.
Operational Excellence
- Documentation & Knowledge Sharing:
- Transition knowledge from individuals to scalable, documented, and automated processes; establish best practices and engineering playbooks.
- Resiliency & Scalability Engineering:
- Architect broadly stable systems that minimize production issues and increase platform reliability.
This role focuses on Gen-AI-driven test automation, quality insights, performance engineering, data validation, and deep collaboration with Site Reliability Engineering (SRE) to embed observability throughout the SDLC.
You will combine strong technical leadership with strategic thinking to enable global teams to ship software faster, safer, and with greater confidence.
Key Responsibilities: Lead end-to-end delivery of scalable quality-engineering solutions aligned with enterprise architecture, guardrails, and roadmaps.
Partner with SRE teams to embed metrics, logs, and traces into automated testing and quality gates to reduce MTTR and improve incident readiness.
Drive Gen-AI/LLM initiatives including self-healing tests, autonomous test generation, and AI-assisted defect triagetaking successful prototypes into production.
Guide teams on Shift-Left testing, DevTestOps, contract testing, performance engineering, data validation, and program-level quality governance.
Integrate and optimize vendor tools (e.g., PractiTest, LambdaTest, LoadRunner, UIPath) to maximize ROI.
Collaborate with product, architecture, engineering, and business stakeholders to translate requirements into scalable quality solutions.
Support agile delivery by applying testing strategies, standards, and tooling across application teams.
Participate in incident management, root-cause analysis, and post-mortems; provide preventative recommendations.
Mentor and coach engineers while fostering global knowledge sharing and continuous improvement.
Contribute to roadmap planning, funding prioritization, and documentation of architectures and quality standards.
We encourage you to apply if you are: Strategic Partner with the ability to align business outcomes, customer experience, and technical architecture.
Systems-Level Engineer comfortable designing and whiteboarding end-to-end flows for microservices, data contracts, and event-driven systems.
AI-Curious Practitioner who turns Gen-AI experimentation into real production value.
Change Agent skilled at influencing across dev, ops, SRE, product, and leadership.
Mentor & Multiplier who elevates team capability through coaching and collaboration.
Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or equivalent experience.
10+ years of hands-on software or quality engineering experience with technical leadership.
Proven experience building large-scale test automation frameworks on AWS.
Hands-on expertise with at least two: Playwright, UIPath, RestAssured, Postman, Pact.
Strong CI/CD experience (GitHub Actions, Azure DevOps, or similar).
Solid knowledge of cloud-native architectures, microservices, Docker/Kubernetes, and IaC.
Experience with performance testing (k6, JMeter, LoadRunner) and observability (Datadog).
Exposure to Gen-AI/LLM-powered testing (Copilot, OpenAI, or custom solutions).
Excellent communication, facilitation, and stakeholder-management skills.
Certifications (AWS, testing, or observability) are a plus.
We are looking for a Design Developer with excellent design skills and coding chops to focus on AI-powered developer experiences!
Overview
This role sits at the intersection of product design and front-end development, supporting rapid prototyping and implementation across web and product experiences. This role will support a variety of developer web and product areas and experiences.
The ideal candidate is a strong designer who can build and test their own work, reducing traditional design to dev handoff and enabling faster iteration.
This is a modern, cross disciplinary role — someone who can move fluidly from concept to coded prototype, using both established front-end frameworks and emerging AI tools.
________________________________________
Key Responsibilities
• Design high quality UI and product experiences across web and product surfaces
• Translate designs directly into working front end implementations using component frameworks (e.g., React based systems)
• Build and test prototypes owning implementation through iteration
• Produce design artifacts across fidelities (e.g., wireframes, journey maps, prototypes, high-fidelity visuals, redlines) using Figma, Vercel, and other AI prototyping tools
• Rapidly prototype concepts using AI assisted tools to explore and validate ideas quickly
• Collaborate closely with product, engineering, and design partners in short cycle, fast moving workflows
• Support both website and product work, adapting to changing priorities and assignments
• Participate in a “strike team” style model, contributing across multiple components or products as needed
________________________________________
Required Skills & Experience
• Bachelor’s degree in Industrial Design, Product Design, HCI, UX, Interaction Design, or equivalent work experience
• Strong foundation in product and UI design
o Hands on experience with front end development, including React or similar web component based frameworks and HTML, CSS, JS/TS, Python
o Working with design systems and reusable components
• 5+ years experience in Figma and Adobe Creative Suite, with examples of high-quality design artifacts produced (e.g., diagrams, wireframes, mockups)
• 3+ years of end-to-end design process experience, including shipping products or delivering services to customers
• Comfort using GitHub and collaborative development workflows
• Experience implementing and testing designs directly in code
• AI assisted tools for prototyping and code generation (e.g., Copilot style tools)
• Familiarity with rapid prototyping workflows and iterative design
• Ability to adapt quickly as tools and processes evolve
• Strong collaborations skills, with demonstrated experience working across both design and development disciplines
We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementSenior Manager, Product Manager: Capital One Shopping (Remote-Eligible)
We are looking for a Product Manager to join our growing team in Capital One Shopping. If you have a remarkable ability to use data to tell a story, form a hypothesis and define metrics to identify the success of product initiatives - this is the role for you!
Product Management at Capital One is a booming, vibrant craft that requires reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. We believe our portfolio of businesses and investments in growth and transformation will result in a company with the scale, brand, capabilities, talent, and values to succeed as the digital revolution transforms our society and our industry.
We're looking for a Product Manager with a demonstrated interest and aptitude for AI. While formal on-the-job experience with AI is a plus, we highly value candidates who have proactively incorporated AI into their personal projects, explored AI-driven development environments (e.g., Cursor, GitHub Copilot), or built automations using AI agents. Show us how you've used AI to learn, build, and solve problems beyond basic text generation.
What we are looking for:
A knowledge and passion for emerging technologies (API's, Big Data, Native UI's) to incorporate into building great products
Use SQL to build a data-back strategy, identify insights, and troubleshoot issues
Own day to day setting and monitoring of KPIs - requires strong SQL/data analysis skills
Someone comfortable with backend products who is not afraid to challenge the norm and do what is right for the team
Proficiency in handling large data files using SQL, Python, and/or R
Own day to day operations of product, including identifying bugs or leverage opportunities via comprehensive understanding of data
A product centric mindset to take a product from ideation to production and continually iterate improvements
A customer-first mindset
A strategic thought leader who can create a compelling vision and story to present to senior executives and inspire direct and partner teams
A strong communicator who can advance initiatives and create consensus through clear, concise, and contextually relevant messaging
Creating and maintaining a healthy team culture through thoughtful leadership
Results focused and able to manage and prioritize multiple projects simultaneously
Identify, prioritize, and launch innovative, merchant focused products that drive revenue and customer value
What you'll do:
Lead multiple teams of software and data engineers to design and deliver data platform features for internal users
Understand the enterprise data requirements and ensure the system's compliance with enterprise patterns
Relentlessly push to understand user and stakeholder needs and ensure they are considered in prioritization and trade-off discussions
Create a vision and roadmap for your product that addresses stakeholder needs
Partner with analysts, data scientists, designers, engineers, and others to continuously refine the roadmap and harvest insights from experiments and product launches
Build and maintain strong relationships with leaders and stakeholders that depend on the capabilities and performance of our platforms
Define, socialize, and monitor key performance indicators to understand the evolution and success of the project
Basic Qualifications:
At least 5 years of experience working in Product Management
At least 5 years experience working with SQL
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field)
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, Computer Engineering, Software Engineering, Mechanical Engineering, Information Systems or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
Experience translating business strategy and analysis into consumer facing digital products
Capital One is open to hiring a Remote Employee for this opportunity .
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
New York, NY: $210,500 - $240,300 for Sr. Mgr, Product ManagementRemote (Regardless of Location): $175,500 - $200,300 for Sr. Mgr, Product ManagementMcLean, VA: $193,000 - $220,300 for Sr. Mgr, Product ManagementSan Francisco, CA: $210,500 - $240,300 for Sr. Mgr, Product ManagementCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-8 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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Remote working/work at home options are available for this role.