Rockstar

Platform Engineer

• Design, build, and maintain backend services for user controls, identity, and security across the platform.
• Develop and strengthen secure content sharing capabilities, ensuring the right users have access to the right data under the appropriate conditions.
• Contribute to Data Studio and related tools that expose platform data to internal and external users.
• Work on Dgraph internals when needed while building services and applications on top of Dgraph.
• Partner with platform, infrastructure, and integrations teams to maintain consistent identity and security primitives across the ecosystem.
• Drive technical decisions around data access patterns, permissions models, and secure sharing architecture.
• Write high-quality, well-tested code in Go and Python with a focus on reliability, security, and performance.
• Participate in architecture discussions, design reviews, and technical planning for the data platform.

Senior Platform Engineer – Data Platform

Solutions Engineer

• Own the end-to-end architecture for the Integrations Platform, including SDKs, agents, job pipelines, and related services, while defining the technical roadmap.
• Drive the evolution of the integration authoring experience, including AI-enabled workflows that improve how integrations are built and maintained.
• Define and enforce reliability, scalability, and observability standards across the agent ecosystem and integration lifecycle.
• Build developer tooling, packages, and libraries that reduce friction and accelerate integration development and adoption.
• Partner with Product, Platform, and Customer Success teams to translate customer needs into platform capabilities.
• Provide technical leadership and mentorship through architecture decisions, design reviews, and hands-on engineering guidance.
• Lead cross-functional initiatives involving workflow orchestration, service scaling, and job orchestration.
• Evaluate and introduce emerging technologies and frameworks related to integration authoring, automation, and platform capabilities.

Senior Platform Engineer – Integrations Platform

Artificial Intelligence

• Own every client engagement from strategy through delivery and measurable outcomes.
• Serve as the single point of accountability for each client engagement.
• Translate executive conversations into practical AI transformation programs and roadmaps aligned to each client’s business priorities and KPIs.
• Present board-ready ROI reporting that connects AI initiatives to measurable business results.
• Grow existing client relationships by identifying expansion opportunities, building business cases, presenting ROI, and closing additional work.
• Meet or exceed revenue targets in this quota-carrying role.
• Facilitate AI steering committee meetings with senior client leadership.
• Align AI strategy with business objectives and ensure every meeting ends with clear priorities, owners, and next steps.
• Drive accountability between meetings by coordinating multiple workstreams across both client and internal teams.
• Escalate issues appropriately while maintaining strong executive relationships.
• Continuously feed client insights back into the company’s products, training programs, analytics, and AI transformation playbooks.

AI Transformation Partner

• Design and deliver sessions that change how people work the very next day.
• Measure success through lasting behavior change, not audience satisfaction.
• Lead with live demonstrations before explanations.
• Tailor every demo to the client’s real workflows and business challenges.
• Build credibility through authentic, unscripted examples.
• Read the room and adjust your approach based on audience readiness.
• Help confused audiences understand the “why.”
• Help anxious audiences build confidence through smaller steps.
• Navigate skeptical audiences using credible peer examples and practical proof.
• Continuously stay current on AI platforms, feature releases, and best practices.
• Ensure every training session reflects today’s capabilities—not outdated information.
• Capture patterns from client engagements.
• Identify where learners struggle, what resonates, and why.
• Provide actionable feedback that continuously improves the company’s training approach.

AI Trainer

• Define and drive the technical roadmap for platform infrastructure, reliability, and scalability initiatives.
• Design and review complex system architectures that support company growth and evolving business needs.
• Establish engineering standards, best practices, and technical patterns across multiple teams.
• Improve system observability, incident response processes, and operational excellence across the platform.
• Partner with Engineering, Product, and Design leaders to align technical investments with business priorities.
• Mentor engineers and provide technical guidance that elevates engineering capabilities across the organization.
• Build and improve backend services, infrastructure tooling, and shared platform capabilities.
• Identify technical debt, scalability risks, and operational vulnerabilities before they become business constraints.

Staff Platform Engineer

Financial Planning and Analysis

• Define and evolve the architecture, strategy, and long-term roadmap for the financial services domain.
• Design and build secure, scalable systems supporting payments, billing, collections, and ledger management.
• Lead integrations with banks, payment processors, fintech partners, and financial service providers.
• Collaborate closely with Finance, Product, and Engineering leaders to align technical solutions with business objectives.
• Establish and drive best practices around reliability, observability, transaction integrity, and financial accuracy.
• Mentor senior and staff engineers through architecture reviews, technical guidance, and engineering leadership.
• Lead investigation, resolution, and prevention efforts for issues impacting financial systems and money movement.
• Assess emerging technologies, payment solutions, and AI capabilities that improve efficiency, reliability, or customer experience.

Principal Financial Services Engineer

AI Engineer

• Design and deploy AI-powered workflows and automation across internal systems
• Integrate LLM APIs (OpenAI, Anthropic, etc.) into operational platforms and internal tooling, with examples including:
• - Airtable Scripting & AI Automation
• - Microsoft 365 / Power Platform AI Enhancements
• - Custom Agent & RAG Pipeline Development
• Build and maintain custom AI agents, automation pipelines, and retrieval-augmented generation (RAG) systems
• Own the bridge between AI capabilities and the existing technology stack
• Evaluate and prototype emerging AI tools for business relevance and operational fit
• Collaborate with operations, sales, and leadership teams to identify and prioritize AI opportunities
• Contribute to platform development features and maintain clean, well-documented code
• Translate AI capabilities for non-technical stakeholders and gather real requirements from business teams
• Maintain a running roadmap of AI enhancements tied to business goals and project timelines
• Consistently exemplify established best practices, serving as the internal subject matter expert on applied AI
• Provide team or company-wide AI training and education where applicable.
• Create & manage technical documentation for all AI systems, integrations, and workflows.

Applied AI Developer

3D Artist

• Create high-performing **animated and static marketing creatives** for Meta, TikTok, Google, App Store, Google Play, and other paid channels.
• Own the entire creative production process end-to-end, from ideation to final output, including creating or sourcing visual assets, animation, editing, music selection, and applying sound effects.
• Develop fresh concepts, hooks, and visual directions for new ad creatives. The designer sets the idea in motion.
• Continuously explore new angles, visual styles, formats, and creative approaches to find what resonates with the audience.
• Turn creative learnings into stronger concepts, fresh variations, and higher-performing ads, week after week.

Motion Designer

• Lead end-to-end client transformations through the company's adoption system, from initial leadership alignment through organization-wide rollout and sustained adoption
• Serve as the strategic quarterback for complex, multi-month client engagements - part consultant, part coach, part project quarterback, combining strategy with hands-on delivery
• Build trusted advisor relationships with client leadership teams, understanding their business challenges and translating them into actionable AI transformation strategies
• Adapt and evolve the methodology based on client needs and emerging best practices, contributing to the continuous improvement of the approach
• Guide change management efforts that address the human side of AI adoption, including building psychological safety, overcoming resistance, and creating sustainable behavioral change
• Collaborate cross-functionally with trainers, project managers, and leadership to ensure seamless client experiences
• Monitor client engagement progress against established KPIs and milestones, providing regular reporting to internal leadership and client stakeholders

AI Strategist

Customer Support

• Manage a high-volume queue of incoming emails and calls with speed, precision, and an exceptionally warm written tone.
• Maintain meticulous records of customer interactions within the ticketing system.
• Act as a calm, patient advocate for users, turning complex technical hurdles regarding the Verify product into seamless solutions.
• Deep-dive into the ecosystem to become an expert educator for clients.
• Serve as the "eyes and ears" of the company, providing actionable feedback on software bugs, user pain points, and AI screening behavior.
• Proactively manage and update the CRM database to ensure a single source of truth for the entire organization.

Provider Support Specialist

Full-stack Engineer

• Own core product workflows for tax prep, tax review, bookkeeping, client requests, and practice-management operations.
• Design and build product abstractions that turn messy accounting work into repeatable, reviewable systems.
• Use the client's internal agent platform to move from product context to working software quickly, then inspect the result until it is right.
• Build interfaces, workflow states, data models, and agent behavior that hold up in live customer usage.
• Codify repeatable patterns from customer deployments back into the main product.
• Use the product yourself, inspect logs and data when needed, notice what is wrong, and push until the details are right.

Founding Product Engineer

Associate

• Own full-cycle hiring for behavioral health clinicians (e.g. therapists, psychologists), including sourcing, screening, interviewing, and onboarding
• Build and maintain a strong, scalable pipeline of qualified and mission-aligned providers
• Identify and manage sourcing channels including graduate programs, referral networks, job boards, and events
• Coordinate with credentialing and operations teams to ensure seamless onboarding and systems access
• Track and report on hiring metrics to improve efficiency and conversion
• Design and manage a thoughtful onboarding experience that sets providers up for long-term success
• Act as the main point of contact for provider feedback, satisfaction, and resolution of day-to-day concerns
• Lead engagement initiatives including regular check-ins, surveys, recognition programs, and community events
• Partner with clinical and operations teams to continuously improve the provider experience
• Own key outcomes like therapist NPS and provider retention

Provider Experience Associate

General

• Conduct comprehensive autism assessments for adults via telehealth
• Deliver actionable feedback to clients following evaluations and develop personalized post-assessment plans
• Write clear, thorough clinical reports that document findings and recommendations
• Participate in case consultations and clinical collaborative opportunities
• Focus on direct client care while the client handles administrative tasks and insurance billing

Clinical Psychologist

• Designing and shipping the AI agents that run patient case lifecycle — application intake, document extraction, data validation, coverage verification, patient communication, missing-info follow-up — including the evaluation harness, confidence thresholds, and human-in-the-loop boundaries
• PHI-aware data architecture: de-identification pipeline that strips identifiers before inference, the tokenization layer that maps results back, and the audit trail that logs every model call
• Integrations with healthcare systems of record and dependent services – as well as the orchestration layer that coordinates across them
• The production bar: on-call, incident response, rollback strategy, and strict uptime SLAs
• Working directly with operations, IT, and clinical teams during discovery, UAT, and go-live — you'll be in the room, not behind a PM

Founding AI-Native Engineer

• Run live video onboarding calls with new customers to gather key business context and complete bookkeeping setup (bank/credit card connections, historical bookkeeping needs, etc.)
• Support customers across chat and email by answering bookkeeping questions, diagnosing issues, and driving them to resolution quickly and empathetically
• Maintain accurate customer notes and status updates in internal systems to ensure strong follow-through and smooth handoffs
• Collaborate with other company teams to improve workflows and surface product feedback based on recurring customer needs
• Exceed partner and customer expectations by providing thoughtful, proactive, and detail-oriented support