Lead mobile architecture, design, and development for Capital One’s iOS and Android platforms, driving performance, accessibility, and AI‑enabled features across a large customer base.
Locations (2)
McLean, Virginia, United States
New York, New York, United States
Compensation
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.
McLean, VA: $197,300 - $225,100 for Mobile Engineer 4
New York, NY: $215,200 - $245,600 for Mobile Engineer 4
Responsibilities
Partner with software engineers, designers, and product managers to deliver high‑performing, quality features for 100M+ customers
Provide technical leadership for mobile architecture and design patterns
Mentor other engineers and foster growth through code reviews and feedback
Contribute to mobile architecture decisions, API design reviews, and reusable component development
Lead the design and development of client Backend‑for‑Frontends (BFFs) and Server‑Driven UI (SDUI) architectures
Requirements
Bachelor's Degree in Computer Science or related quantitative field
Hands-on operations role focused on identifying bottlenecks, designing, and building AI-driven automations for internal company tools like lead assignment, agent management, and commission processing.
Compensation
Base salary range: CAD $90,000 to $180,000, with the final offer based on skills and experience.
Responsibilities
Identify operational bottlenecks
Design and build AI-driven automations to replace manual work
Write and commit code on internal tooling using AI coding tools
Set and track success measures for changes (hours saved, error rate, turnaround time)
Pull and read data (SQL, dashboards) to inform fixes
Join a B2B AI team at the intersection of sales, product, engineering, and insurance brokerage customers. You will lead technical pre-sales work and customer deployments, helping prospects see value while shaping how the platform is configured and adopted.
Compensation
Base salary: $150,000 to $200,000 annually.
Responsibilities
Partner with sales representatives to design and deliver customer pilots that demonstrate product value.
Translate insurance workflows into extensible Python scripts, agent skills, and deployment architecture.
Configure and validate integrations with agency management systems, CRMs, carrier portals, and other data sources.
Lead technical discovery, demos, and deployments, supporting customer enablement and adoption.
Share customer feedback with product and engineering teams to inform the roadmap.
Take a problem from an operations, finance or sales team, figure out what they actually need, and ship a working solution, mostly by directing AI coding agents.
Compensation
85k-105k + Performance Bonus
Responsibilities
Understand the problem
Work directly with internal stakeholders (operations, finance and sales teams) to turn pain points into clear, testable requirements
Shadow users where the work happens before proposing a solution
Architect solutions and direct AI agents to build internal tools, integrations and automations
Review, correct and test everything before it goes live
Design and deliver AI-powered features for AWS documentation authoring, build and maintain high-quality code, and collaborate with product and service teams to improve documentation quality and authoring speed.
Compensation
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
Responsibilities
Design and deliver AI-powered features for AWS documentation authoring, from working backwards with customers through deployment and operations.
Write high-quality, well-tested code that meets the Amazon Code Bar, using AI coding tools with judgment and owning the result.
Build evaluations and guardrails that measure and improve the accuracy of AI-generated content.
Measure whether the features you ship improve documentation quality and authoring speed for service teams.
Design solutions to difficult problems, seeking guidance to align with the team's long-term architecture.
Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
Nice to have: Full software development life cycle experience
Own the quality of our Agents end to end, reviewing evals, collecting feedback, defining high-quality outcomes, and shipping improvements across evaluations, prompts, skills, model configuration, and TypeScript codebase.
Compensation
The base salary for this role is $115,000–$165,000.
Responsibilities
Define what good looks like for agents by reviewing production evals and customer feedback.
Build trustworthy evaluations by turning customer needs into representative scenarios and rubrics.
Ship improvements by updating prompts, skills, and agent behavior, and contributing reviewed code.
Make decisions on new models by comparing them against real tasks for quality, safety, latency, and cost.
Own the feedback loop with customers to turn recurring friction into product changes.
As the Agentic Community Manager, you will build and grow the community of customers, developers, partners, and advocates around MeshMesh, creating the spaces, programs, and conversations that turn users into champions.
Locations (2)
San Francisco, California, United States
New York City, New York, United States
Compensation
The typical base salary range for this position is $123,100 - $186,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $147,400 - $202,600 annually.
Responsibilities
Define and execute the community strategy, including goals, programs, and metrics for engagement, adoption, and advocacy
Build and manage community spaces such as Slack channels, forums, events, and user groups
Partner with Solution Engineering to apply agentic solution engineering to community, turning AI-built demos, prototypes, and proofs of value into sample projects, starter kits, and hands-on workshops for members
Design and deploy community agents that use AI to answer common questions, route issues, welcome new members, surface helpful content, and summarize conversations, with human oversight and clear escalation paths
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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