Lead multiple engineering teams across full stack, front end, and back-end disciplines to deliver customer-facing and internal products in a product operating model.
Compensation
United States: 202,000 - 229,000 USD
Responsibilities
Lead, coach, and develop engineers across full-stack, front-end, and back-end disciplines
Build and grow high-performing engineering teams, attracting strong talent and developing technical and leadership capabilities
Create an environment of trust, ownership, collaboration, and continuous learning where engineers can do their best work
Provide technical guidance and mentorship while empowering engineers and technical leads to make sound decisions
Establish clarity on engineering ownership, accountability, and decision-making across teams
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Founding product engineer for a personal AI assistant team, owning the agent and user experience end-to-end.
Compensation
Base salary: $200,000 to $300,000 annually.
Responsibilities
Build the agent decision-making layer, including tool-calling loops, memory, context assembly, prompts, and model routing.
Create evaluation infrastructure with conversation replay, turn-level judges, and regression suites to guide release decisions.
Own product experiences across mobile and web, from onboarding and initial replies to follow-ups, group chats, approvals, and trusted-network features.
Ship features end to end, using experimentation and feature flags to measure outcomes.
Build integrations with email, calendar, booking, payment, and browser tools, including resilient workflows and user approval steps.
A hands-on engineering role focused on building high-quality software and AI agents to solve business problems. Working directly with business teams like call center reps and attorneys to deliver measurable results using AWS.
Compensation
$120,000—$160,000 USD
Responsibilities
Embed with the business: Spend time with the teams doing the work to understand how it gets done and where it gets stuck
Pick the right problem: Agree with business owners on one measurable problem, take a baseline before building, and define how success will be measured
Lead by example: Design and implement reliable systems across the backend, frontend, and cloud infrastructure on AWS
Build with AI: Build AI agents and workflows for areas such as our call center and client intake across chat, text and voice, the early steps of litigation, practice areas beyond personal injury, and new AI products the firm is building
Participates in the Bank’s Technology Development Program (TDP), a 2-year rotational training program for Bachelor degreed individuals in a technical discipline, designed to develop in-depth technical skills and gain exposure to multiple Technology departments.
Compensation
The pay range for this position is $29.57 - $43.99 per hour. The successful candidate’s particular combination of knowledge, skills, and experience will inform their specific compensation. The range listed above encompasses all geographic locations. The pay rate specific to your location will fall within this range and is available from your recruiter.
Responsibilities
Mentor with experienced technology staff to develop in-depth technical skills in a specific technical discipline such as Software Engineering, Engineering, Architecture, Data Engineering or Cybersecurity.
Complete a series of rotations, over a set timeframe, in multiple technical disciplines beyond original discipline, to gain a broader understanding of them, how they are utilized at the Bank and how they work together to deliver solutions and services to internal and external customers.
Determine post-program assignment in one of the core areas through career path design, performance, assessment, and interest.
Understand and adhere to the Company’s risk and regulatory standards, policies and controls in accordance with the Company’s Risk Appetite.
Identify risk-related issues needing escalation to management.
Requirements
Bachelor’s degree in Computer Science, Information Technology related field
Full Stack Engineer to drive the development and management of an advanced marketing SaaS solution, leveraging big data to enhance marketing strategies.
Compensation
$62-72 Per HR
Responsibilities
Design and develop web applications from front-end to back-end.
Triage and resolve product and system issues.
Collaborate with cross-functional teams to prioritize and deliver engineering solutions.
Deploy applications on cloud infrastructure ensuring scalability and security.
Integrate applications with big data systems and third-party solutions.
Requirements
Bachelor’s degree in Computer Science
Engineering
related field
Nice to have: data science
Nice to have: machine learning application development
As an AI Engineer, you build customer-facing platform capabilities and AI-powered solutions that solve real business problems, working directly with Product Management, Customer Success, and enterprise customers.
A Product Engineer role focused on software engineering, driving business outcomes through hands-stack development and AI tools within an autonomous pod.
Compensation
$74.00-$79.00 Per Hr
Responsibilities
Build and deploy full-stack implementations from design to production.
Utilize AI-assisted development tools to enhance coding efficiency.
Deliver clean, maintainable code across front-end and back-end systems.
Design system architectures that scale across enterprise workloads.
Provide technical leadership and validate complex codebases.
A 6-month co-op program for early talent to work on production-ready AI solutions, data analytics, and transformation strategies to drive actionable insights.
Locations (3)
Needham, Massachusetts, United States
Miami, Florida, United States
New York, New York, United States
Compensation
Ranges from $30 - $36
Responsibilities
Own the end-to-end scoping, analysis, and delivery of a defined business problem, from data gathering through insight communication
Design, iterate and document AI prompts and workflows; take ownership of data preparation pipelines for assigned projects
Build and maintain dashboards, reports, or models that are actively used by internal teams
Identify trends, patterns, and insights within datasets and translate them into actionable recommendations
Building customer-facing capabilities across our Enterprise Agent Platform, including agent orchestration, workflow execution, enterprise integrations, knowledge management, and administration.
Developing production-ready AI workflows and reusable platform services that power enterprise solutions across multiple industries.
Designing trusted AI capabilities including evaluation, verification, observability, provenance, and human-in-the-loop workflows.
Building intuitive developer and user experiences that simplify how enterprise customers create, configure, and operate AI agents.
Working directly with enterprise customers to understand their business problems, rapidly prototype solutions, and turn successful implementations into reusable platform capabilities.
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