LLM Jobs in Atlanta.
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Commercial Counsel, Crypto
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Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the team
As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.
We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.
What you’ll do
Responsibilities
- Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
- Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
- Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
- Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
- Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
- Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
- Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
- Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
- A self-starter with a bias for action: you are proactive and take ownership to move matters forward
- A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
- A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
- Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
- Passionate about technology and able to understand complex business models and product use cases quickly
- A team player willing to do what it takes to contribute to collective success
- Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
- 6+ years of relevant experience in-house or in a technology practice group at a top law firm
Preferred qualifications
- Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
- Experience in payments or fintech and familiarity with related regulatory frameworks
- Working knowledge of LLM tools and experience in improving legal processes with AI technology
- Prior in-house experience advising high-growth technology companies
- Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA
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Senior Machine Learning Engineer
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Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.
Inovalon is a leading cloud-based healthcare technology company that leverages data analytics and AI to drive meaningful improvements across the healthcare ecosystem. The Senior Full-Stack Machine Learning Engineer sits within the Insights Business Unit, which serves as Inovalon’s central AI and machine learning hub. This team partners with Provider, Payer, and Pharmacy business units to identify, build, and deploy AI solutions that improve clinical and operational outcomes at scale.
In this role, you will contribute to both classical machine learning and generative AI applications, including LLM-based and agentic solutions. You will work across the full model development lifecycle on a modern, cloud-native AWS stack, collaborating closely with AI Product Managers and a distributed team of senior engineers across the U.S. and India.
Key Responsibilities
- Design, train, and deploy machine learning models spanning classical ML (classification, regression, clustering, time-series) and generative AI use cases including LLM-based and agentic applications.
- Build and maintain cloud-native solutions on AWS using containerized architectures (Docker, Kubernetes) to support scalable model serving and data pipelines.
- Own and contribute to the full Model Development Lifecycle (MDLC), including dataset versioning, model versioning, model registry management, and model evaluation frameworks.
- Develop and integrate Python-based ML components that work seamlessly with existing product platforms across multiple business units.
- Collaborate with AI Product Managers across the Insights BU and partner business units (Provider, Payer, Pharmacy) to translate business needs into AI solutions.
- Apply neural networks and deep learning techniques using PyTorch for appropriate use cases alongside scikit-learn-based classical approaches.
- Write robust, production-ready code following engineering best practices; participate in code and design reviews.
- Leverage AI coding tools (such as Claude Code or equivalent) as part of your daily development workflow to improve velocity and code quality.
- Mentor junior engineers and contribute to team knowledge-sharing around ML best practices, tooling, and architecture decisions.
- Support integration of frontend components into ML-powered features where applicable.
- Contribute to retrospectives and team process improvements; actively participate in sprint planning and end-of-iteration demos.
- Adhere to all HIPAA, data governance, confidentiality, and regulatory requirements in all aspects of work.
- Maintain compliance with Inovalon’s policies, procedures, and mission statement, fulfilling responsibilities that support operational and financial success.
Qualifications
Required
- Minimum 5 years of software development experience with a strong foundation in machine learning fundamentals and model training.
- Expert-level Python proficiency; Python is the team’s primary language and is the highest-priority technical requirement.
- Hands-on experience building and deploying classical ML models in production using scikit-learn.
- Demonstrated experience with generative AI, LLMs, or agentic application development.
- Proficiency with PyTorch and neural network architectures.
- Practical knowledge of the Model Development Lifecycle (MDLC): dataset versioning, model versioning, model registry, and model evaluation.
- AWS cloud experience, including deploying and managing cloud-native workloads.
- Containerization experience with Docker and/or Kubernetes.
- Strong problem-solving ability; demonstrated capacity to work independently and take ownership of complex technical challenges.
- Daily usage of AI-assisted coding tools (e.g., Claude Code, GitHub Copilot, or similar) as part of standard development workflow.
Preferred
- Experience with database technologies (SQL or NoSQL); familiarity with data pipeline tooling.
- Frontend development skills to support full-stack ML feature work.
- Healthcare domain experience or exposure to HIPAA-regulated environments.
Education
- Bachelor’s degree in Computer Science, Data Science, Software Engineering, or a related technical field required.
- Master’s degree or PhD in Computer Science, Machine Learning, or equivalent practical experience preferred.
Physical Demands and Work Environment
- Sedentary work (i.e., sitting for long periods of time).
- Exerting up to 10 pounds of force occasionally and/or a negligible amount of force.
- Subject to inside environmental conditions.
- Travel for this position will include less than 10% locally, usually for training purposes.
Inovalon Offers a Competitive Salary and Benefits Package
In addition to the base compensation, this position may be eligible for performance-based incentives.
The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more.
This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)
If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.
By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.
Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.
To review the legal requirements, including all labor law posters, please visit this link
To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link
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Job Title: AI Engineer
Location: NYC, NY | Atlanta, GA | Remote, USA
Exemption Status: Full-time, exempt
Who We Are
Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.
With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.
Job Summary
Impiricus is moving fast. Our business units (StratOps, Commercial Ops, etc.) are rapidly prototyping highly impactful internal AI tools using the latest vibe coding and agentic engineering techniques.
We are hiring an Internal AI Solutions Builder to be the bridge between these grassroots innovations and enterprise-grade stability. Reporting to both the central AI hub team as well as the business unit you support, you will act as a Forward Deployed Engineer (FDE). You will not build foundational models; you will help our commercial team leverage AI to redesign workflows and generate revenue, while supporting business-built prototypes and "graduating" them into secure, scalable, and maintainable internal products.
Responsibilities
- Prototype Incubation & Auditing: Evaluate "vibe-coded" AI tools and automations built by non-technical business units (StratOps, Commercial Ops, etc.) to help boost their commercial ROI, security posture, and architectural viability.
- Production Refactoring (The Paved Road): Take ownership of high-value internal prototypes (e.g., AI SDRs, RFP generators) and refactor them into secure, scalable, and enterprise-grade applications.
- LLM Orchestration & Integration: Build and maintain secure integrations between foundational models (via APIs) and Impiricus's internal systems, specifically our Enterprise Data Lake and CRM (Salesforce).
- Full-Lifecycle Maintenance: Act as the technical owner for all "graduated" internal AI applications, ensuring high uptime, managing prompt drift, and updating API connections as internal schemas change.
- Cross-Functional Product Management: Act as your own PM. Interview business stakeholders to map complex operational bottlenecks, ruthlessly define scope, and manage stakeholder expectations regarding what should be an AI experience versus a standard SQL dashboard.
- Governance Enforcement: Apply Enterprise Data & Analytics standards to all internal tooling, ensuring zero data leakage, strict access controls, and mitigation of hallucination risks in operational outputs.
Requirements
- Applied Engineering Experience: 2+ years of professional experience in software engineering, data engineering, or technical architecture, with a clear track record of building and deploying functional applications.
- AI/LLM Proficiency: Demonstrable, hands-on experience building with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and managing context windows, prompt engineering, and RAG (Retrieval-Augmented Generation) architectures in a production setting.
- Core Tech Stack: Strong understanding of computer science fundamentals and software development best practices. Strong proficiency in a programming language (Python preferred). Deep experience building and consuming RESTful APIs, and working within modern cloud environments to deploy internal applications.
- Stakeholder Management: Proven experience working directly with non-technical business leaders to translate ambiguous business problems into precise technical requirements. (Experience in a Forward Deployed, Solutions Engineering, or technical consulting role is highly preferred).
- Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field—OR equivalent demonstrably successful experience building and shipping complex technical projects. (We value a strong GitHub repository and a history of shipped operational tools over degrees).
Nice-to-Have
- Product Management Experience: Demonstrated ability to act as your own PM: conducting stakeholder interviews, translating messy operational problems into high-impact solutions, and managing expectations with the business. Experience as an entrepreneur or owning a product roadmap is a plus. Strong instincts for knowing what to build, what to skip, and how to build the right thing.
The base salary range for this role is $165,000 - $210,000.
Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.
Important Notice
To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to careers@impiricus.com
Benefits
Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being.
Healthcare: Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge
HSA, FSA & DCFSA: Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan)
Coverage & Protection: 100% paid short- and long-term disability, plus life and AD&D insurance
Flexible Time Off: Take the time you need with a flexible vacation policy — recharge your batteries your way
Parental Leave: Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months)
Your Work, Your Way: If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option.
Home Office Setup: We’ll ship you the gear you need to create a comfortable workspace at home.
401(k): Save for your future with tax advantages (and company match!)
Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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Senior Software Engineer (Full-stack)
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Job Title: Senior Software Engineer (Full Stack)
Location: Atlanta, GA | NYC, NY | Remote, USA
Employment Type: Full-time, Salaried
Who We Are
Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.
With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.
Job Summary:
As a Sr. Software Engineer at Impiricus, you will play a crucial role in designing, developing, and optimizing our digital healthcare solutions. You will work across multiple platforms, ensuring scalable, high-performance software development while leading technical initiatives. This role requires deep expertise in backend and frontend development, architecture design, and cross-functional collaboration to drive innovation in healthcare technology.
Duties/Responsibilities:
Software Development & Architecture
- Design, build, and maintain scalable APIs, services, and data pipelines primarily in Python, leveraging microservices and cloud-native architectures.
- Implement secure, high-performance, and maintainable system designs that can evolve with business and healthcare needs.
- Develop web applications and dashboards (React/Next.js or similar) that surface backend and AI functionality to internal and external users.
- Integrate and refine LLM workflows including prompt engineering, model orchestration, and backend/UX pipelines for intelligent healthcare solutions.
- Ensure engineering excellence through code reviews, testing, CI/CD automation, observability, and performance optimization.
Technical Leadership
- Guide technology decisions, frameworks, and best practices for software development.
- Lead and mentor junior engineers and offshore development teams.
- Stay up to date with industry trends and emerging technologies to drive continuous improvement.
- Provide technical documentation and architectural diagrams for system enhancements.
Cross-Functional Collaboration
- Work closely with Product Management to define technical requirements and roadmap initiatives.
- Collaborate with UX/UI teams to ensure seamless and intuitive user experiences.
- Integrate backend APIs and microservices for efficient data exchange across platforms.
- Partner with data analytics teams to optimize performance and scalability.
Experience:
- 5+ years of software engineering experience, with a strong focus on backend development in Python (Node.js a plus).
- Familiarity with frontend frameworks (React/Next.js, Vue, or similar) to deliver full-stack solutions.
- Hands-on experience with LLMs, prompt engineering, and AI model integration into production systems.
- Proficiency in RESTful APIs, microservices, and database management (SQL & NoSQL).
- Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and DevOps practices (CI/CD pipelines, monitoring, observability).
- Knowledge of healthcare compliance standards (e.g., HIPAA) is preferred; experience working with distributed or offshore engineering teams is a plus.
- Bachelor's degree in Computer Science, Engineering, or a related field.
The base salary range for this role is $135,000 - $170,000.
Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.
Benefits:
Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being.
Healthcare: Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA: Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection: 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off: Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave: Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way: If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup: We’ll ship you the gear you need to create a comfortable workspace at home. 401(k): Save for your future with tax advantages (and company match!)
Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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Apply to Impiricus
Lead Software Engineer - AI Quality Test Automation
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
The Mission
As Lead Software Engineer – AI Quality & Test Automation, you own the strategy and execution of a modern, AI-accelerated test automation program. You build and run the platforms, frameworks, and CI quality gates that keep releases reliable at high velocity — using AI to scale test creation, maintenance, and triage across teams. You don’t retrofit testing onto AI workflows; you engineer quality into them from the ground up, ensuring every stage of an AI-assisted pipeline is observable, trustworthy, and continuously improving.
Essential Duties & Responsibilities
Platform & Automation Leadership
- Own the automation platform: define and build scalable frameworks, standards, and governance (services, APIs, UI) that enable teams to produce robust, consistent coverage
- Set direction for test automation tooling and AI-assisted techniques that accelerate test design, authoring, maintenance, and triage
- Lead by example — write automation, set the quality bar, mentor engineers, and drive adoption of the practices you establish
- Own CI automation health: build and maintain test environments, pipelines, and tooling (including containers/CI), reduce flakiness, and shorten feedback loops
- Be a highly visible advocate for quality — lead cross-team discussions, drive alignment and decisions, and escalate risks and blockers immediately
AI-Native Test Engineering
- Lead the adoption of LLM-powered test generation: from natural language requirement ingestion to executable, maintainable test output
- Build and maintain a self-healing test infrastructure layer — leveraging AI to detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
- Define prompt engineering standards, context injection patterns, and RAG architectures that ground test generation in real codebase context
- Implement guardrails to ensure AI-generated test output is verified, traceable, and safe to ship — including versioning, ownership attribution, and confidence scoring
- Own automated coverage and risk reporting (unit/integration/e2e) and use it to drive targeted gap closure and release readiness
Quality Gates & CI/CD
- Lead risk-based test strategy with product and engineering — define acceptance criteria and quality gates that support high delivery velocity without sacrificing customer-impacting quality
- Design adaptive quality gates for AI-accelerated CI/CD pipelines — gates that reason about risk, not just pass/fail thresholds
- Build risk-scoring models that adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
- Architect the observability layer for automated pipelines: surface signals that indicate poor quality decisions in real time
- Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation
AI Model & Agent Validation
- Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
- Design evaluation benchmarks for internal AI tooling: measuring task completion accuracy, hallucination rates, and decision quality over time
- Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation
- Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production
Required Skills & Experience
- 10+ years of software engineering experience with a strong emphasis on test automation (unit, integration, end-to-end) and quality engineering practices
- Strong programming skills in one or more languages: Python, TypeScript, Java, or C#
- Platform mindset — energized by building infrastructure and frameworks that enable product teams to move faster
- Experience building automation for APIs and distributed systems; UI automation experience is a plus
- Experience with CI/CD, test reporting/observability, and maintaining reliable pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps)
- Proven ability to apply AI/LLM tools to scale automation (e.g., generate/refine tests, expand edge cases, refactor brittle suites, accelerate failure triage) while implementing guardrails so AI output is verified, traceable, and safe to ship
- Hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, and human-in-the-loop design as applied to quality workflows
- Familiarity with LLM failure modes relevant to quality: hallucination, context loss, sycophancy, and over-confident assertions
- Excellent debugging and root-cause analysis skills across code, data, and infrastructure
- Strong communication skills; able to translate quality risks into clear tradeoffs and action plans
- Demonstrated technical leadership across teams — driving standards, roadmap execution, and stakeholder alignment
- Self-directed, comfortable with ambiguity, and biased toward action
Desired Skills & Experience
- Modern test frameworks (e.g., pytest, JUnit, NUnit, Playwright, Cypress) and API testing (REST, gRPC)
- Containerization and environments: Docker; Kubernetes a plus
- Relational databases and SQL; ability to validate data pipelines and analytics outputs
- Experience with Elasticsearch or similar text-retrieval data stores
- Performance/load testing (e.g., JMeter, k6, Locust) and profiling/observability
- Cloud experience (AWS/Azure/GCP) and Infrastructure-as-Code (e.g., Terraform)
- Experience building AI-enabled automation workflows (e.g., Claude/OpenAI APIs, prompt patterns for test generation, repo-aware RAG, scripts/services that turn AI output into runnable tests)
- Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, or equivalents) and their tradeoffs in production quality pipelines
- Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
- Agile software development experience (Scrum / XP)
Education
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Director, Monetization Strategy
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Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
Position Overview:
As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.
Responsibilities:
-
- Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
- Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
- Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
- Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
- Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
- Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.
Qualifications:
- You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
- You have direct experience in SaaS monetization, with a particular focus on monetizing AI
- You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
- You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
- You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.
Bonus Points
- Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
- Experience establishing shared AI platforms or internal developer enablement capabilities
- Familiarity with analytics systems, experimentation workflows, or decisioning frameworks
Perks & Benefits:
- Paid parental leave
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
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Senior AppSec Engineer
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At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together?
What you’ll do:
- Own the Pipeline: Support and optimize application security tooling (SAST, SCA, Secrets Detection) within our CI/CD pipelines to provide accurate, actionable, and prioritized alerts to devs.
- Be a Security Champion: Act as the primary security partner for Engineering and Product teams, ensuring security is baked in from the design phase through deployment.
- Threat Modeling: Lead collaborative threat modeling exercises to identify architectural risks before code is even written. Partner with penetration testing teams to translate these threats into targeted testing scenarios for high-risk functions.
- Code-Level Remediation: Don’t just tell devs what is wrong—show them how to fix it by performing deep-dive code reviews and providing actionable remediation guidance.
- Secrets Management: Help lead the charge in identifying and removing hard-coded secrets, moving the org toward more secure, automated secret management practices.
- Bug Bounty & Research: Help manage our bug bounty program by triaging submissions, working with researchers, and validating fixes with our engineers.
- Secure AI Integration: Serve as the security consultant for AI/ML initiatives. Partner with engineering to design secure "LLM-backed" features, focusing on prompt injection prevention, data privacy/sanitization, and secure integration of third-party AI APIs.
- Incident Response: Support the team during application-related security incidents, bringing your deep knowledge of code and logic to the table.
- Feature Validation: Perform security assessments on new features to help identify logic flaws that automated scanners might miss. Partner with our penetration testing team on high-risk releases to exchange knowledge and continuously sharpen your offensive security skillset.
- Strategic Communication: Translate technical vulnerabilities into business risk. You’ll be responsible for documenting and presenting findings in a way that is actionable for engineers and understandable for leadership.
What you have:
- 3+ years of experience in software development, mobile development, or application security. You are comfortable reading unfamiliar code and can speak Developer fluently.
- CI/CD Pipeline Expertise: Hands-on experience integrating security tools (SAST, DAST, SCA, Secrets Detection) into automated workflows (e.g., GitHub Actions, GitLab CI, Jenkins). You know how to tune these tools to prevent alert fatigue.
- Deep knowledge of the OWASP Web Security Testing Guide (WSTG) and/or Mobile Application Security Testing Guide (MASTG) and the ability to think like a threat actor.
- Experience conducting Threat Modeling to catch flaws before they are built.
- Familiarity with the OWASP Top 10 for LLMs. You understand the unique risks of integrating AI into a production stack and can advise on how to build guardrails around model inputs and outputs.
- Experience supporting an Incident Response (IR) process, specifically providing the AppSec perspective to help scope an exploit and verify if a patch truly mitigates it.
- A deep understanding of how web applications work. You know your way around HTTP headers, JWTs, CORS, and auth flows, and you can validate them manually when the scanners fail.
- Proven ability to define risks in both technical and business terms.
Technical must haves:
- 3+ years of professional experience in Software Development or Application Security.
- AppSec Tooling: Proven proficiency in deploying and tuning SAST, DAST, and SCA (e.g., Snyk, CodeQL, Dependabot, Mend, Wiz).
- Threat Modeling: Experience performing architectural threat models on products and services.
- CI/CD Automation: Strong experience building and maintaining security workflows in GitHub Actions.
- Cloud Native: Working knowledge of Kubernetes and containerized compute services.
- Security Testing: Comfortable using Burp Suite or Postman to manually validate logic flaws.
Where you’ll live:
- While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates. #LI-Remote
Working at PrizePicks:
The typical salary range for this position is $90,000 to $180,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process.
This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.
Date Posted: 3/26/26
Re posted: 5/1/26
Benefits you’ll receive:
In addition to your great compensation package, full-time employees will be eligible for the following perks:
- Company-subsidized medical, dental, & vision plans
- 401(k) plan with company match
- Annual bonus
- Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
- Generous paid leave programs, including 16-week paid parental leave and disability benefits
- Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
- Company-wide in-person events and team outings
- Lifestyle enhancement program
- Company equipment provided (Windows & Mac options)
- Annual performance reviews with opportunities for growth and career development
You must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
PrizePicks is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.
The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.
What You’ll Do
Hands-On Building & Upstream Data Cleanliness (~50%)
• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.
• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.
• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.
• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.
Mergers & Acquisitions Data Integration
• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.
• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.
• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.
• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.
Financial Controls, SOX & Audit Readiness
• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.
• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.
Enabling AI Builders & Process Owners
• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.
• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.
• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.
Partnership & Cross-Functional Leadership
• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.
• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.
What You Bring
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.
• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.
• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.
• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.
• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.
• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.
• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.
Preferred Qualifications:
• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.
• High-growth, publicly traded technology company or digital transformation environment.
• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.
• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.
• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Discretionary paid time off
- Paid parental leave for all
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- Employee Resource Groups (ERGs)
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
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Senior AI Engineer
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What We Do:
Florence software advances cures by helping the world’s most important research sites do their best work. Our solutions are now used by over 30,000 research teams in 70 countries around the world—we’re the most widely deployed site workflow tool in the industry. By the end of the decade, we’ll double the pace at which new medicines get to market by doubling the output of trial site teams. To date, we were named a Deloitte Fast 50 business, G2 Category Leader, an Inc. & AJC best place to work, and an Inc. 5000 company five years in a row.
At Florence, we are committed to make the world a better place by accelerating research while providing an environment for our employees where they can be happy in their lives, enjoy their jobs, and grow.
What You’ll Bring to The Team:
We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features. This role focuses on owning end-to-end implementation of AI systems within a product area — from prototyping to production — with a strong emphasis on reliability, iteration, and measurable impact. You will work closely with product and engineering teams to turn ambiguous problems into effective AI solutions, while contributing to best practices and raising the bar for AI development.
You Will:
End-to-End AI Feature Ownership
- Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
- Own the full lifecycle: prototyping → evaluation → production deployment → iteration
- Ensure solutions are reliable, performant, and aligned with product needs
AI System Implementation
- Build and optimize:
- Prompt pipelines for specific use cases
- Retrieval systems (embeddings, chunking, ranking)
- RAG-based workflows where needed
- Iterate on outputs to improve quality, accuracy, and consistency
- Design scalable and cost-efficient AI architectures for production workloads
- Select and evaluate models (hosted vs open-source) based on use case constraints
- Agent-Based Systems (AgentCore)
- Design and build agentic workflows capable of multi-step reasoning and decision-making
- Integrate agents with tools, APIs, and internal systems to perform real-world actions
- Implement planning, execution, and reflection loops for complex tasks
- Manage context, memory, and state across multi-step interactions
- Balance deterministic workflows vs. agent autonomy for reliability and control
Experimentation & Evaluation
- Run structured experiments to compare approaches (prompting, retrieval, models)
- Define and track key metrics for AI performance (quality, latency, cost)
- Debug and improve non-deterministic system behavior
- Build and maintain evaluation datasets and benchmarks
- Implement automated evaluation pipelines for continuous improvement
Collaboration & Contribution
- Drive technical direction and influence AI adoption across teams
- Partner with product managers and designers to scope AI features
- Contribute to shared patterns and reusable components
- Participate in code reviews and design discussions
- Support and mentor mid-level engineers where needed
AI Reliability, Safety & Governance
- Design guardrails to ensure safe and reliable AI behavior
- Mitigate hallucinations, prompt injection, and model misuse
- Ensure compliance with data privacy and enterprise requirements
- Implement monitoring and observability for AI systems in production
- Implement guardrails for agent actions (tool access control, execution boundaries)
- Prevent failure cascades in multi-step agent workflows
An Ideal Candidate Has:
Core AI Skills
- Strong understanding of LLM capabilities and limitations
- Experience with prompt engineering and structured output design
- Hands-on experience with embeddings and vector search
- Familiarity with RAG architectures and when to apply them
- Experience designing agent-based architectures (AgentCore concepts)
- Understanding of tool use, planning strategies, and memory mechanisms in LLM systems
Engineering Skills
- 4+ years of related work experience
- Solid backend/system design fundamentals
- Evaluate agent performance across multi-step tasks (task success rate, error propagation)
- Debug and optimize agent decision-making and tool selection behavior
- Experience building and deploying production-grade systems
- Ability to debug complex issues, including probabilistic outputs
- Comfort working with APIs, pipelines, and data flows
Product Thinking
- Ability to translate user needs into effective AI solutions
- Strong intuition for balancing quality, latency, and cost
- Focus on delivering measurable product impact
Collaboration
- Communicates clearly across engineering and product teams
- Contributes to team knowledge and shared practices
What Success Looks Like:
- Ships high-quality AI features that deliver clear user value
- Demonstrates strong ownership from idea to production
- Improves systems through structured iteration and experimentation
- Contributes to team-level best practices and reusable solutions
What’s in it for you?
- Do well. We offer a competitive compensation package, medical and dental insurance, and office space in the heart of the city.
- Do good. We insist that health technology is the highest calling for software development. We pride ourselves on working on something bigger than ourselves; helping advance cures and therapies.
- Make the leap. Join our high-output culture to create innovative, modern, and purposeful software solutions.
Florence supports workplace diversity and does not discriminate on the basis of race, color, religion, gender identity or expression, national origin, age, military service eligibility, veteran status, sexual orientation, marital status, physical disability, or any other protected class.
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Florence Healthcare, please go directly to our Careers Page. Florence Healthcare will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Florence Healthcare will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Florence Healthcare employees will only be sent from @florencehc.com email addresses.
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Principal Quality Automation Architect
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Please note: This position is not eligible for immigration sponsorship.
Company Overview
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.
If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.
Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.
Principal Quality Automation Architect
The Principal Quality Automation Architect designs and scales Accordion's automated quality framework across products, services, and AI-enabled workflows. This impactful role will be critical in owning the architecture behind automated validation, test harnesses, evaluation pipelines, test data strategy, and cross-pod tooling standards.
This position will ideally be based in one of our US offices and is a hybrid role with the flexibility to work remotely 2 days per week (also eligible for remote candidates).
This position is not eligible for immigration sponsorship.
What You’ll Do:
Automation Architecture
- Design and implement the core automation framework for functional, API, integration, regression, and workflow testing
- Define standards for reusable test assets, environment usage, data setup, and evidence capture
- Create scalable approaches to testing complex, multi-system workflows
AI Evaluation Infrastructure
- Build and maintain regression harnesses for AI-enabled features, including prompt and workflow comparisons, scored evaluation runs, and benchmark execution
- Partner with AI quality analysts to support rubric-based testing and measurable release criteria
Test Data & Environment Strategy
- Define approaches for test data, synthetic data, masked data, and scenario generation
- Improve reliability and repeatability of validation environments
Engineering Partnership
- Work closely with software engineers to improve testability, observability, CI/CD integration, and defect prevention
- Help pods move quality checks earlier in the development lifecycle
You Have:
- 7+ years of experience in QA automation, SDET, or quality engineering roles, with a focus on scale, repeatability, and leverage
- Strong experience with test automation frameworks, API testing, CI/CD, and integration validation – you are systems-minded and deeply technical
- Strong scripting or coding skills
- Experience working with data-intensive or workflow-heavy applications
- Exposure to AI or LLM validation tooling or strong interest in building in that space
- Ability to design frameworks, not just individual tests, and comfortability setting standards that others adopt
- Commitment to balancing sophistication with delivery pace
- Bachelor's degree preferred
You Are:
- Excited to be part of a growing team, with a focus on driving future growth
- Passionate about delivering exceptional client service
- Knowledgeable about the relationship between Private Equity sponsors and their portfolio companies, particularly within the office of the CFO
- Willing to get your hands dirty in the details of a project while simultaneously seeing the whole picture
- Comfortable managing projects with multiple complex workstreams while also focused on your single workstream (you are managing and doing)
- A self-starter with a strong work ethic
- Full of entrepreneurial spirit and comfortable in a fluid, flat organization
- Able to effectively communicate complex issues and solutions, and raise issues to senior team members when necessary
- A team player, able to work with team members across all levels
- Someone who enjoys mentoring others and doing meaningful work
- A leader of others; you lead by example
The annual salary for this role ranges from: $150,000 to $190,000 + benefits + bonus.
Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
#LI-HA1
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THE POSITION
Our roster has an opening with your name on it
FanDuel is seeking a Lead Product Manager to drive the strategy, development, and execution of agentic AI-powered capabilities across marketing operations. In this role, you'll own the full product lifecycle of an innovative, AI-driven marketing automation system that leverages AI and API capabilities to orchestrate internal and external vendor platforms for marketing campaigns
You will translate business objectives into compelling product strategies, lead cross-functional teams, manage complex vendor integrations, and champion the adoption of agentic AI principles to unlock new efficiency and scale in FanDuel's marketing engine. This is a high-visibility role that sits at the intersection of product strategy, marketing technology, data, platform operations, and AI innovation.
You bring both ambition and pragmatism: you think big about what agentic AI can enable for marketing at FanDuel, but you're grounded in the realities of technology, execution, vendor relationships, and organizational change.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Roadmap & Strategy: Define and execute the product roadmap for agentic campaign ideation, execution orchestration, and measurement intelligence across the central marketing platforms
- End-to-End Ownership: Own the full product lifecycle—from discovery and requirements definition through launch, monitoring, and continuous optimization
- Cross-Functional Leadership: Lead collaboration across Product, Engineering, Marketing Operations, and Commercial teams to ensure successful delivery and adoption of AI-powered capabilities
- Vision & Direction: Establish a clear vision for how MCP-based agentic systems can streamline campaign workflows, reduce manual handoffs, and measurably improve campaign performance and team velocity
- Translation & Requirements: Translate complex technical concepts (MCP, agentic AI frameworks, vendor APIs) into clear business narratives and actionable product requirements
- Vendor Integration Strategy: Manage integration strategy and relationships with internal platforms (CDP, analytics) and external vendors (marketing automation, creative AI, attribution), ensuring seamless data flow and compliance
- Success Metrics: Define success metrics (KPIs, OKRs) for AI-driven campaign capabilities, including adoption, efficiency gains, campaign lift, and time-to-market improvements
- Operating Model Excellence: Champion best practices: document handoff protocols, define phase gate entry/exit criteria, establish dependency risk frameworks, create reusable playbooks
THE STATS
What we're looking for in our next teammate
Core Experience
- 7+ years of product management experience, with proven success in marketing technology platforms, martech operations, product lifecycle management, or SaaS product strategy
- 5+ years demonstrating deep expertise in product development lifecycle best practices: discovery, requirements definition, roadmap prioritization, cross-functional delivery, and post-launch optimization
- 3+ years of hands-on experience with marketing technology ecosystems, including exposure to martech stacks, API integrations, data pipelines, CDP platforms, or marketing automation systems
- 2+ years managing external vendor or partner relationships, including contract negotiation, vendor performance management, and third-party integration oversight
- Experience in high-scale consumer digital products and/or marketplaces strongly preferred
AI & Technical Acumen
- Working knowledge of Model Context Protocol (MCP) or agent-to-agent (A2A) architectures; ability to evaluate how MCP-based systems solve martech workflow challenges
- Familiarity with agentic AI frameworks and understanding of how agents orchestrate multi-step marketing workflows across vendors, products, and platforms
- Experience with prompt engineering and LLM application development (or equivalent exposure in AI-first product roles) with the ability to think clearly about AI model behavior, limitations, and guardrails
- Technical curiosity and comfort with vendor evaluation frameworks for AI/automation tools; ability to translate between engineering and non-technical stakeholders
- Demonstrated fluency in modern AI tools to enhance product management effectiveness, including research synthesis, PRD drafting, experimentation design, data analysis, and insight generation
- Privacy and compliance awareness: working knowledge of data privacy regulations (CCPA, GDPR, state privacy laws) and ability to ensure AI-driven marketing capabilities respect user data rights, consent frameworks, and regulatory requirements
Leadership & Operating Model
- Demonstrated ability to lead without direct authority across Product, Engineering, Design, Marketing, and Operations in a matrixed environment
- Proven track record of building clarity in ambiguous contexts: defining roles, establishing accountability (RACI), codifying handoff protocols and playbooks
- Strong stakeholder management: ability to align executives, peers, and individual contributors around shared product vision and trade-off decisions
- Data-driven mindset with comfort building business cases, tracking KPIs, and iterating strategy based on evidence
- Excellent communication: written and verbal skills with preference for clarity and conciseness; ability to distill complexity into actionable narratives
- Bias for action: you'd rather test a rough prototype with stakeholders today than debate the "perfect" approach in meetings.
Nice-to-haves
- Familiarity with operating model assessments, RACI matrix design, or organization design frameworks
- Knowledge of phase-gate product lifecycle models or similar governance frameworks
- Background in responsible AI, AI governance, or guardrails for autonomous systems
- Experience scaling product operations or building shared services in fast-growing organizations
- Knowledge of sports and/or experience working within a heavily regulated industry is a plus
- Don’t check all the boxes? That’s okay! We encourage you to still apply if you feel like you possess an adjacent skill set and are interested in learning more about this position.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $138,000 - $190,300 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.
Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.
We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
- Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
- Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
- Business intelligence tools (e.g., Tableau, Knime, Looker)
- Data security and privacy (e.g. GDPR, CPP)
- Data governance and data testing frameworks
- Continuous integration and delivery of production data products
- An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
- Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
- Collaborating with peers and sharing best practices in system reliability, automation, and data quality
ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
THE STATS
What we're looking for in our next teammate
- 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
- 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
- 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
- 1+ Years of Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
- 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.
- Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc).
- Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
- 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
- Deep understanding and knowledge of data structures, distributed computing, and software engineering principles
- 3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
- Conduct regular design process reviews and ensure development standards within the team.
- Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
- Experience working in a cloud environment such as AWS, GCP, Azure.
- Experience with Databricks is a plus, their unity catalog, another plus.
- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
- Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
- Motivate junior engineers on best practices and latest industry design patterns.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.
Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.
We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
- Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
- Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
- Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
- Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
- Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
- An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
- Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
- Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
- Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
THE STATS
What we're looking for in our next teammate
Required Qualifications
- 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
- 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
- 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
- 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
- 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
- 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
- 1+ years of experience conducting design reviews and setting engineering standards within a team
- Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
- Experience working in cloud environments such as AWS, GCP, or Azure
- Experience designing and building data pipelines for production ML and GenAI/LLM systems
- Strong understanding of data structures, distributed systems, and software engineering principles
- Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
- Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
- Track record of mentoring engineers and elevating team-wide engineering practices and technical quality
Preferred Qualifications
- 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
- 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
- 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
- Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
- Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a Staff Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will own critical production ML systems across real-time personalization, delivering billions of recommendations per day, and search, powering high-scale, low-latency discovery experiences for customers across our sportsbook and gaming products. You will tackle complex, still-evolving challenges in ranking, relevance, retrieval, and online decisioning to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.
Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.
We are looking for Staff Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search systems incorporating typeahead search, vector search and ML personalization signals to optimize relevance and user experience, with end-to-end ownership from ideation to production
- Building and scaling multi-layer serving architectures for ML and GenAI/LLM models, making key architectural decisions in ambiguous problem spaces
- Driving the design and evolution of platform capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) to streamline ML and GenAI/LLM application development and deployment lifecycle across teams
- Contributing to technical strategy and influencing adoption of ML and GenAI/LLM platform solutions across partner engineering teams
- Applying best practices in data security, privacy (e.g. GDPR, CCPA), governance, and data testing frameworks to ensure reliable and compliant data products
- Owning the continuous integration and delivery of production-grade data and ML systems with a focus on scalability, reliability, and cost-efficiency
- An inclusive culture that expects excellence and prioritizes your growth as an engineer and your well-being as a person
- Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
- Operate as part of an autonomous team with end-to-end ownership of key components of our data and ML platform architecture
- Set engineering standards and mentor junior engineers, elevating team practices in system design, reliability, automation, data quality, and operational excellence
THE STATS
What we're looking for in our next teammate
Required Qualifications
- 7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
- 4+ years of experience designing and building scalable software architectures, including systems supporting ML, Search or LLM workloads
- 2+ years of experience implementing vector search, semantic search, or embedding-based retrieval systems (RAG workflows) for production ML or AI applications with vector store such as AWS OpenSearch, Elasticsearch, etc
- 2+ years of experience building platform components and frameworks improving ML/AI development and deployment efficiency
- 1+ years of experience driving technical direction, making architectural trade-offs, and influencing engineering decisions across teams
- 1+ years of experience collaborating cross-functionally, working with leadership and influencing and driving partner teams to adopt platform capabilities and best practices
- 1+ years of experience conducting design reviews and setting engineering standards within a team
- Experience with data and streaming technologies (e.g., Spark, Flink, Kafka, Airflow, Terraform)
- Experience working in cloud environments such as AWS, GCP, or Azure
- Experience designing and building data pipelines for production ML and GenAI/LLM systems
- Strong understanding of data structures, distributed systems, and software engineering principles
- Demonstrated ability to independently own and deliver complex technical projects end-to-end in ambiguous environments
- Ability to communicate technical concepts and insights effectively through dashboards, data models, or design artifacts
- Track record of mentoring engineers and elevating team-wide engineering practices and technical quality
Preferred Qualifications
- 1+ years of experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
- 1+ years of experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
- 1+ years of experience deploying ML and GenAI/LLM models under constraints of scalability, correctness, and maintainability in production environments
- Hands-on experience with ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) and familiarity with LLM frameworks
- Hands-on experience with ML and GenAI/LLM platforms (e.g., SageMaker, Bedrock, Databricks, etc.)
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $159,000 - $208,950 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
We’re looking for a Staff Software Engineer to own and evolve test automation for our Sportsbook Emerging Experiences - Social and Advanced Search - across iOS, Android, and Web. This is a hands-on technical leadership role focused on building reliable functional and performance automation that improves release confidence.
You’ll partner closely with engineers, product, and QA to embed quality earlier in the development lifecycle, build repeatable patterns in our Nx monorepo and CI, and raise the bar on what “release ready” means for user-critical journeys.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
Design and implement end-to-end automation for core Social and Search journeys using Cypress (web) and Detox (iOS/Android), aligned to our Nx monorepo structure.
Own and evolve the pillar’s automation foundations: test architecture, folder structure, screen-object patterns, shared utilities, and local-first run toolchains so teams can add coverage quickly and consistently.
Integrate automation into CI (Buildkite and/or GitHub Actions): affected execution, parallelization, clear pass/fail reporting, and quality gates that are actionable, while keeping suites easy to run locally for fast iteration.
Drive stability: track flakiness, improve test determinism, and shorten time-to-signal through improved synchronization, test data control, and failure triage patterns.
Establish a test data and environment strategy: mocks/fixtures for acceptance, prod-like data for E2E, and lightweight API/contract tests (Pact or equivalent) where they add value.
Build performance coverage for critical journeys (feed load, interactions, search latency/rendering) using Detox performance tooling and/or Flashlight + Maestro; define baselines and regression thresholds.
Own load/performance testing for key end-to-end user journeys (from BFF/edge APIs through platform and backend services) using Locust (Python) or equivalent, including realistic traffic modeling (ramp profiles, concurrency, think time), scenario design, assertions on p95/p99 latency, throughput, and error rates, and reporting.
For Advanced Search (including LLM-powered experiences where applicable), define automated evaluation: schema/structure checks, relevance/quality regression vs baselines, and edge-case/safety checks.
Partner with platform and observability teams to improve test visibility (dashboards, logging, artifacts) and ensure automation results are easy to interpret and act on.
Mentor and enable: coach engineers and QA (including team members transitioning from manual to automated testing) on automation authorship, local-first toolchains, and AI-assisted development workflows (e.g., Cursor) so squads can confidently build and maintain test coverage.
THE STATS
What we're looking for in our next teammate
7+ years of experience in software test automation / quality engineering, including designing and maintaining automation frameworks at scale.
Hands-on coding skills in TypeScript/JavaScript and/or Python; comfortable reading and contributing to production code.
Strong end-to-end automation experience across web and mobile (Cypress and Detox preferred; Playwright, Appium, WebdriverIO, etc. are transferable).
Experience working in monorepos and CI/CD: Nx (or similar), Buildkite/GitHub Actions, and practices like affected runs, parallelization, and fast feedback loops.
Experience testing APIs and distributed systems: test data setup, SQL/NoSQL validation, and contract testing/mocking approaches where appropriate.
Performance and reliability mindset: build performance baselines, run end-to-end load tests (Locust/k6/JMeter) that exercise BFF and downstream services, interpret p95/p99 latency and error rates, and reduce flaky tests through better design.
Staff-level leadership: proven ability to influence across teams, set standards, mentor others, and drive quality initiatives end-to-end.
Nice to Have
Mobile performance tooling (Detox performance, Flashlight, Maestro) and/or web performance profiling (Lighthouse, tracing) is a plus.
Accessibility testing experience (axe, WCAG) and/or visual regression testing.
Experience with observability and reporting (Grafana, ELK, Datadog) for test signal, flakiness, and CI analytics.
Cloud and data tooling (AWS, Docker/Kubernetes) for test environments, orchestration, and test data pipelines.
Experience testing ML/LLM-powered search: evaluation datasets and regression across model/prompt changes.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $159k- $199k USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
As a Product Security Engineer, you will play a critical role in securing AI-enabled software. You will partner directly with engineering teams to identify and remediate security risks in modern web, mobile, cloud, and AI-driven systems. In parallel, you will help design and build intelligent automation that reduces repetitive manual review work and improves developer velocity. This role equally balances hands-on product security engineering with building scalable security automation. This is an opportunity to both secure next-generation AI capabilities and shape how Product Security evolves to meet growing demand.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Be part of a bleeding-edge security engineering organization enabling secure, reliable, AI-enabled applications and products.
- Embed security within product development teams to define and implement secure design patterns for distributed and AI-integrated systems.
- Conduct thorough security assessments including penetration testing, code reviews, threat modeling, and architecture reviews.
- Deliver AI/LLM-focused threat modeling and evaluate risks in model integrations, data flows, and external AI services.
- Identify recurring security review patterns and design automation to streamline lower-risk use cases.
- Design and build internal tooling and workflows that accelerate security reviews.
- Develop structured, scalable review processes that maintain rigor while improving speed.
- Partner with technology leaders to establish metrics, demonstrating both security posture and review efficiency.
- Collaborate with development and operations teams to evolve modern product security standards and guardrails.
- Ensure processes associated with key systems are documented, maintained, and continuously improved.
- Other duties as required.
THE STATS
What we're looking for in our next teammate
- Experience in product security engineering, with a focus on web applications
- Deep understanding of secure coding practices, security architecture, and secure development methodologies.
- Proficiency in conducting security assessments including penetration testing, vulnerability scanning, code reviews, and threat modeling.
- Strong experience securing modern API-driven and cloud-native architectures.
- Strong software engineering skills (Python or similar) with experience building tooling or automation.
- Experience reviewing or securing AI/LLM-integrated systems.
- Experience designing or building automation that improves security workflows or reduces manual effort.
- Strong knowledge of industry-standard security frameworks such as ISO 27001, NIST, and OWASP.
- Ability to communicate and influence in a highly distributed environment.
- Strong verbal and written communication skills.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $134,000 - $176,400 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
As a Product Security Engineer, you will play a critical role in securing AI-enabled software. You will partner directly with engineering teams to identify and remediate security risks in modern web, mobile, cloud, and AI-driven systems. In parallel, you will help design and build intelligent automation that reduces repetitive manual review work and improves developer velocity. This role equally balances hands-on product security engineering with building scalable security automation. This is an opportunity to both secure next-generation AI capabilities and shape how Product Security evolves to meet growing demand.
In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
THE GAME PLAN
Everyone on our team has a part to play
- Be part of a bleeding-edge security engineering organization enabling secure, reliable, AI-enabled applications and products.
- Embed security within product development teams to define and implement secure design patterns for distributed and AI-integrated systems.
- Conduct thorough security assessments including penetration testing, code reviews, threat modeling, and architecture reviews.
- Deliver AI/LLM-focused threat modeling and evaluate risks in model integrations, data flows, and external AI services.
- Identify recurring security review patterns and design automation to streamline lower-risk use cases.
- Design and build internal tooling and workflows that accelerate security reviews.
- Develop structured, scalable review processes that maintain rigor while improving speed.
- Partner with technology leaders to establish metrics, demonstrating both security posture and review efficiency.
- Collaborate with development and operations teams to evolve modern product security standards and guardrails.
- Ensure processes associated with key systems are documented, maintained, and continuously improved.
- Other duties as required.
THE STATS
What we're looking for in our next teammate
- Experience in product security engineering, with a focus on web applications
- Deep understanding of secure coding practices, security architecture, and secure development methodologies.
- Proficiency in conducting security assessments including penetration testing, vulnerability scanning, code reviews, and threat modeling.
- Strong experience securing modern API-driven and cloud-native architectures.
- Strong software engineering skills (Python or similar) with experience building tooling or automation.
- Experience reviewing or securing AI/LLM-integrated systems.
- Experience designing or building automation that improves security workflows or reduces manual effort.
- Strong knowledge of industry-standard security frameworks such as ISO 27001, NIST, and OWASP.
- Ability to communicate and influence in a highly distributed environment.
- Strong verbal and written communication skills.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $134,000 - $176,400 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
#LI-Hybrid
Ready to apply?
Apply to FanDuel
THE POSITION
Our roster has an opening with your name on it
At FanDuel, data is the heartbeat of our organization. As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and our customers with world-class personalized experiences. Every click our users make, every bet, every touchdown, every fumble, and every play is fair game for us to turn into a stream of knowledge. Your expertise will be used here to make better and faster decisions – outpacing our competition.
Collaboration is at the core of your role. You’ll be the linchpin between engineering teams working downstream to build out our online application and upstream to land necessary data for feature engineering. You’ll also be working with Data Scientists and Analysts to productionize, analyze, and validate AI powered insights. You will be asked to help organize, model, and present our data as a coherent product and offer it to our stakeholders, providing a common information framework that allows FanDuel to intelligently react to what is happening on the field and in the marketplace.
We are looking for Senior Machine Learning Engineer who may be looking to make the move to a big data environment. If this describes you, read on – we want to hear from you!
THE GAME PLAN
Everyone on our team has a part to play
- Designing and implementing intelligent search system incorporating typeahead search, vector search and ML personalization model signals to optimize relevance and user experience
- Contributing to the design and development of scalable serving systems for ML and GenAI/LLM models
- Developing platform features and capabilities (e.g. CLI, SDK, Infra Automation, Platform Applications) for streamlining ML Model and GenAI/LLM Application development and deployment lifecycle
- Business intelligence tools (e.g., Tableau, Knime, Looker)
- Data security and privacy (e.g. GDPR, CPP)
- Data governance and data testing frameworks
- Continuous integration and delivery of production data products
- An inclusive culture that expects excellence and priorities your growth as an engineer and your well-being as a person
- Advance your career within well-defined, skill-based tracks, either as an individual contributor or as a manager – both providing equal opportunities for compensation and advancement
- Collaborating with peers and sharing best practices in system reliability, automation, and data quality
ML engineering is a rapidly changing field – most of all, we’re looking for someone who enjoys experimenting, keeping their finger on the pulse of current data engineering tools, and always thinking about how to do something better.
THE STATS
What we're looking for in our next teammate
- 5-7+ years of relevant experience developing code in one or more core programming languages (Python, Java, etc.)
- 1+ Years of Experience implementing vector search, semantic search, or embedding-based retrieval systems for production ML or AI applications
- 1+ Years of Experience working with typeahead / autocomplete systems and integrating ML signals into query understanding or ranking workflows
- 1+ Years of Experience combining outputs from multiple retrieval systems (e.g., vector search + typeahead + personalization models) to improve relevance
- 1+ Years of experience in deploying ML and GenAI/LLM models under the constraints of scalability, correctness, and maintainability.
- Hands on experience with ML frameworks and libraries (Scikit-learn, Pytorch, Tensorflow, LightGBM, Keras, MLFlow etc.) and familiarity with LLM-specific frameworks (e.g., LangChain, Hugging Face Transformers, etc).
- Hands on experience with one or more ML and GenAI/LLM cloud services (Amazon SageMaker, Amazon Bedrock, Databricks Mosaic AI, Seldon, Arize, etc)
- 4+ Years of experience designing and building various software architecture, with some emphasis on scalable architectures supporting both traditional ML and advanced LLM workflows.
- Deep understanding and knowledge of data structures, distributed computing, and software engineering principles
- 3+ Years of experience demonstrating technical leadership working with teams, owning projects, defining, and setting technical direction for projects.
- Experience with one or more relevant tools (Flink, Spark, Sqoop, Flume, Kafka, Amazon Kinesis, Terraform, Airflow)
- Ability to share findings in easy to consume formats, whether that is through dashboards or data modeling.
- Conduct regular design process reviews and ensure development standards within the team.
- Working with leadership to drive adoption of ML and GenAI/LLM solutions to product engineering teams.
- Experience working in a cloud environment such as AWS, GCP, Azure.
- Experience with Databricks is a plus, their unity catalog, another plus.
- Designing and building data pipelines for production level ML and GenAI/LLM infrastructure.
- Experience with vector databases to efficiently manage and retrieve embeddings for LLM applications, enabling high-performance similarity search and retrieval-augmented generation (RAG) workflows is a plus
- Motivate junior engineers on best practices and latest industry design patterns.
ABOUT FANDUEL
FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
PLAYER BENEFITS
We treat our team right
We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.
FanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
The applicable salary range for this position is $138,000 - $173,000 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email Benefits@fanduel.com.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Ready to apply?
Apply to FanDuel
Director, Technical Support
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As the Director of Technical Support, you will be responsible for scaling and evolving our Tier 1 Technical Support organization to support a rapidly growing, global customer base. You will define the strategy, structure, and operational framework required to deliver consistent, high-quality support at scale.
In this role, you will lead through leaders, drive operational excellence, and shape how we leverage AI and automation to transform support delivery. You will partner cross-functionally with Product, Engineering, Sales, and Customer Success to ensure a seamless, customer-centric experience while building a high-performing, future-ready organization.
What You’ll Do
Location: Peachtree Corners, GA (Greater Atlanta Area) / Scottsdale, AZ - 4 days in-office required
Reports to: Sr. Director, Global Support
Direct Reports: 15, with 1-2 Team Leads
Operations Leadership:
- Lead and develop technical support leaders and their teams, providing strategic direction, coaching, and organizational guidance.
- Drive functional KPI performance in accordance with department and corporate objectives.
- Ensure escalations reach an effective resolution. This may entail coordinating with and working with other departments, including sales, customer success and accounting to resolve issues.
- Analyze, manage, and implement performance metrics, scorecards, and reporting to assess team and individual performance.
Quality Assurance, Training, and Process Improvement:
- Review top issues & trends from Salesforce, JIRA, and other systems to identify opportunities for improvement & training
- Collaborate with training team and senior department leadership on QA and Training strategy to ensure program effectiveness
- Identify areas of improvement and lead process optimization initiatives to enhance efficiency and customer satisfaction.
Customer Experience and Advocacy:
- Analyze and understand customer needs based on survey feedback, call monitoring and LLM analysis
- Demonstrate excellent project management skills and partner with internal groups including Customer Success, PSO, and Sales to ensure a superb customer experience.
- Collaborate with product and development teams to relay customer feedback and influence bug/defect and feature request strategies
- Develop and implement strategies to elevate the customer experience and improve CSAT/NPS
Team/Work Force Management:
- Recruit, train, and motivate a high-performing team, fostering a culture of collaboration and accountability.
- Provide regular feedback, performance evaluations, and support to team members.
- Manage team schedules, real-time adherence, and other WFM duties.
What You Bring
- Proven ability to lead through leaders, building and scaling high-performing support organizations
- Embodies an #OWN IT mindset when it comes to helping customers and operational challenges
- Demonstrates an AI-first approach to solving business problems; comfortable leveraging LLMs and automation to drive scale and efficiency
- Strong executive communication skills with the ability to influence across all levels of the organization
- Ability to operate both strategically and tactically in a fast-paced, high-growth environment
- Experience building structure and driving clarity in ambiguous or evolving environments
- Strong comprehension of internet networking & routing, hardware and software troubleshooting
- Deep understanding of technical support environments, including hardware, software, and networking troubleshooting
- Must pass a Criminal Justice Information Services (CJIS) background check and maintain confidential and highly sensitive information.
Preferred Qualifications
- 10+ years of experience in technical support or customer operations, with progressive leadership experience in tiered, high-volume support environments
- Proven experience operating at scale within complex, global, or high-growth organizations
- Strong knowledge of contact center technologies (CCaaS, CRM, ERP, WFM suites) and modern support tooling
- Demonstrated experience driving AI, automation, or digital transformation initiatives within support organizations
- Experience establishing operational frameworks, dashboards, and performance metrics to drive continuous improvement
- Experience in IoT (hardware/software/network), public safety technology, or similarly complex technical environments strongly preferred
- Strong executive presence with the ability to influence senior leadership and cross-functional stakeholders
- Bachelor’s degree in a technical field preferred or equivalent experience
Benefits that Benefit You
- Competitive salary and 401k with employer match
- Paid time off
- Robust parental leave policy
- Medical, Dental, Vision plans
- Fitness Programs
- Emotional & Mental Wellness support
- Learning & Development programs
- And yes, we have snacks in our offices
Benefits listed herein may vary depending on the nature of your employment and the location where you work
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
Ready to apply?
Apply to Axon
Software Engineer (Full-stack)
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Job Title: Software Engineer (Full Stack)
Location: Atlanta, GA | NYC, NY | Remote, USA
Employment Type: Full-time, Salaried
Who We Are
Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.
With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.
Job Summary:
As a Software Engineer at Impiricus, you will play a crucial role in designing, developing, and optimizing our digital healthcare solutions. You will work across multiple platforms, ensuring scalable, high-performance software development while leading technical initiatives. This role requires deep expertise in backend and frontend development, architecture design, and cross-functional collaboration to drive innovation in healthcare technology.
Duties/Responsibilities:
Software Development & Architecture
- Design, build, and maintain scalable APIs, services, and data pipelines primarily in Python, leveraging microservices and cloud-native architectures.
- Implement secure, high-performance, and maintainable system designs that can evolve with business and healthcare needs.
- Develop web applications and dashboards (React/Next.js or similar) that surface backend and AI functionality to internal and external users.
- Integrate and refine LLM workflows including prompt engineering, model orchestration, and backend/UX pipelines for intelligent healthcare solutions.
- Ensure engineering excellence through code reviews, testing, CI/CD automation, observability, and performance optimization.
Technical Leadership
- Guide technology decisions, frameworks, and best practices for software development.
- Lead and mentor junior engineers and offshore development teams.
- Stay up to date with industry trends and emerging technologies to drive continuous improvement.
- Provide technical documentation and architectural diagrams for system enhancements.
Cross-Functional Collaboration
- Work closely with Product Management to define technical requirements and roadmap initiatives.
- Collaborate with UX/UI teams to ensure seamless and intuitive user experiences.
- Integrate backend APIs and microservices for efficient data exchange across platforms.
- Partner with data analytics teams to optimize performance and scalability.
Experience:
- 2+ years of software engineering experience, with a strong focus on backend development in Python (Node.js a plus).
- Familiarity with frontend frameworks (React/Next.js, Vue, or similar) to deliver full-stack solutions.
- Hands-on experience with LLMs, prompt engineering, and AI model integration into production systems.
- Proficiency in RESTful APIs, microservices, and database management (SQL & NoSQL).
- Experience with cloud platforms (AWS, Azure, or GCP), containerization (Docker, Kubernetes), and DevOps practices (CI/CD pipelines, monitoring, observability).
- Knowledge of healthcare compliance standards (e.g., HIPAA) is preferred; experience working with distributed or offshore engineering teams is a plus.
- Bachelor's degree in Computer Science, Engineering, or a related field.
The base salary range for this role is $110,000 - $135,000.
Where you land within the range will reflect your skills, experience, and location, while keeping team parity in mind and leaving room for future growth.
Benefits:
Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being.
Healthcare: Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA: Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection: 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off: Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave: Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way: If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup: We’ll ship you the gear you need to create a comfortable workspace at home. 401(k): Save for your future with tax advantages (and company match!)
Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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As a Senior Solutions Consultant within Talkdesk's Professional Services (PS) organization, you will provide a white-glove experience and drive the implementation of cutting-edge CXA and CCaaS solutions that align with strategic objectives and support excellence at every stage of the Customer Journey.
Primary Responsibilities
- Lead strategic implementations of CXA and CCaaS solutions with new and existing customers that meet customer use cases, leveraging industry knowledge, product expertise, and best practices.
- Provide guidance and hands-on support to internal teams, external partners, and customers during the Implementation of Talkdesk CXA and CCaaS products, ensuring technical alignment and project success.
- Drive post-implementation success and customer adoption by providing strategic guidance, best practices, and actionable recommendations.
- Collaborate with internal teams (e.g., Product, Support) to address feature requests, resolve issues, and deliver updates that align with customer needs.
- Contribute to the ongoing development of CXA specific templates, playbooks, and best practices to streamline deployment and ensure consistent implementation quality.
- Act as a trusted advisor to stakeholders, building relationships with executives and providing long-term guidance on CXA strategy and success.
Requirements:
- Bachelor's degree in a technical field or significant professional experience in a technical role
- 3+ years in Professional Services, Consulting, or IT/Software Development, with a focus on AI or automation solutions in a SaaS environment
- Strong programming skills in one or more languages such as JavaScript, Python, or TypeScript.
- Demonstrated experience working with REST APIs, webhooks, and SDKs to build integrations between different software systems.
- Working knowledge around foundation models, RAG, LLM orchestration, and AI toolchains.
- A true consultative approach and ability to communicate technical concepts to people of all backgrounds and skill levels
- Mature demeanor and positive attitude, as well as discretion and sensitivity when interacting with clients. Client management experience is highly valued.
- Engaging personality, polished verbal and written communication skills, and meticulous attention to detail
- Highly organized self-starter that seeks challenging opportunities.
- Ability to work cross-functionally in a fast-paced environment.
- Fluency in written and spoken English.
Nice-to-haves:
- Fluency in written and spoken Portuguese, Spanish, French, German.
- Basic knowledge of building or optimizing conversational agents, chatbots, or virtual assistants.
- Familiarity with CRM systems (Salesforce, Zendesk and other) and/or Contact Center Solutions.
- Experience with diagram flowchart software, such as Visio, Lucid Chart, etc.
Pay Range (OTE Pay): $123,000 - $205,000
Other Types of Pay: Based on level and role the employee may be eligible for long term incentives in the form of equity and short term incentives of either bonus or commission.
Health Insurance: Medical, Dental, Vision, Life and Disability Insurance, Employee Assistance Program (EAP).
Retirement Benefits: 401(k) plan
Paid Time Off: Talkdesk offers an uncapped paid time off program for exempt employees and an accrual-based program for non-exempt employees; both are subject to manager approval and consistent with business needs.
Paid Holidays: Talkdesk offers 14 paid holidays each year.
Paid Sick Leave: Exempt employees have uncapped paid time off and non-exempt sick leave follows accrual standards; both are subject to manager approval and consistent with business needs.
Method of Application: Apply online.
Application Window: The application window is expected to close at least 5 days from the posting date. The application was posted on 04/20/2026.
Benefits and perks listed above may vary based on the nature of your employment with Talkdesk.
All questions or concerns about this posting should be directed to the Talent team at Talent@talkdesk.com.
Talkdesk is pioneering a new era of Customer Experience Automation (CXA), redefining how the world’s most admired brands interact with their customers through AI. Our global team of courageous innovators is customer-obsessed, building AI-first solutions that put empathy, trust, and transparency at the center of every interaction. We foster an inclusive culture where diverse perspectives drive our success and every voice belongs. Combining the stability of a global leader with the agility of a disruptor, Talkdeskers are empowered with the autonomy to drive meaningful impact, while giving back to the communities and environment around us.
Talkdesk has been recognized as a Leader in the Gartner® Magic Quadrant™ for Contact Center as a Service (CCaaS) and in the G2 Overall Grid® Reports for AI Agents and Contact Center. With seven consecutive years on the Forbes Cloud 100 and multiple AI Breakthrough awards, there has never been a more exciting time to join us as we shape the future of customer experience automation!
Work Environment and Physical Requirements:
Primarily office-environment work, extended periods of sitting or standing, computer-based work. Limited lifting, and equipment usage limited to computer-related equipment (keyboards, mouse, etc.)
The Talkdesk story hinges on empathy and acceptance. It is the shared goal among all Talkdeskers to empower a new kind of customer hero through our innovative software solution, and we firmly believe that the best path to success for our mission is inclusivity, diversity, and genuine acceptance. To that end, we will hire, promote, work along, cheer for, bond with, and warmly welcome into the Talkdesk family all persons without regard to ethnic and racial identity, indigenous heritage, national origin, religion, gender, gender identity, gender expression, sexual orientation, age, disability, marital status, veteran status, genetic information, or any other legally protected status.
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Senior AI Engineer
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Company Overview
We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.
If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.
Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark.
Data & Analytics
Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.
We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.
This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.
This position is not eligible for immigration sponsorship.
Accordion Intelligence Lab
The AI Lab is composed of leading software and AI engineers, designing agentic-AI solutions ahead of the market. Our group builds and operationalizes the AI systems that power Accordion’s consulting capabilities, from agentic architectures and RAG pipelines to evaluation frameworks and production observability.
The Lab works closely with practice leaders to translate research findings into scalable, reliable tools that advance Accordion’s AI-driven value creation work for PE clients and their portfolio companies.
About the Role
We’re looking for experienced AI Engineers to join new AI-augmented delivery pods: purpose-built teams that combine AI engineering, data science, and product management to transform how PE-backed companies run finance and operations.
In this role, you will design and build the AI systems that power client engagements: agentic workflows, RAG pipelines, evaluation frameworks, and production-grade tools that operate in real PE environments. You’ll work directly with clients and cross-functional pod teammates from day one, and you will be expected to ship fast, defend your decisions, and continuously raise the bar on what AI-assisted delivery looks like.
This is a highly technical, hands-on role. We move at sprint pace—not quarter pace. If you want to move quickly, own outcomes end-to-end, and build things that matter in finance, this is the role.
What You’ll Do
- Design and build multi-agent systems and RAG pipelines that automate financial workflows for PE-backed portfolio companies
- Own the full stack from prompt engineering and tool design through deployment and monitoring
- Practice eval-driven development: define how success is measured before you build
- Translate ambiguous client problems into engineering requirements and deliver results in compressed timeframes
- Present and defend architectural decisions to technical and non-technical audiences—including CFOs and PE operators
- Build observability and evaluation infrastructure to continuously improve production AI system quality
- Travel to client site as needed
Success in the First 6 Months
- Work with like-mined AI engineers to ship at least one end-to-end agentic solution in a client engagement, from scoping through production
- Establish evaluation infrastructure for your pod’s systems so that quality is measurable and regressions are caught early
- Demonstrate materially faster delivery cycles because of how you use AI tools—not just that you use them
- Build a reputation within the pod and with clients as someone who can be handed a hard problem and trusted to return a working, defensible solution
What You’ll Bring
- AI tools are woven into how you work daily—you are materially faster because of it, and you can demonstrate that concretely
- 3–8+ years of software engineering experience with a notable portion in AI/ML systems, agent development, or applied LLM engineering
- Hands-on experience building production LLM applications: RAG systems, agentic workflows, tool use, multi-agent orchestration
- Proficiency in Python; experience with LangChain, LangGraph, AutoGen, DSPy, or equivalent orchestration frameworks
- Strong grasp of evaluation methodologies: designing evals, catching regressions, assessing LLM output quality
- Solid data engineering fundamentals: ETL design, SQL/NoSQL, vector databases, streaming or batch pipelines
Nice to Have
- Open-source contributions in the AI/ML space
- Finance or PE domain experience: FP&A, GL data, ERP systems (NetSuite, SAP), or financial workflow automation
- Experience building tools for reuse across multiple clients or in multi-tenant architectures
- Prior experience in consulting, professional services, or client-facing delivery environments
This is a high-velocity environment. Sprints are short, client expectations are high, and we don’t slow down between engagements. If you’ve spent time in large enterprise engineering organizations where velocity is constrained by process, this will feel different.
The people who thrive here are those who find the pace energizing, not exhausting. They ship fast because they’ve internalized good judgment—not because they cut corners. They use AI tools to multiply their output, communicate clearly with non-technical stakeholders, and course-correct quickly when something isn’t working.
The annual salary for this role ranges from: $144,500 to $230,000 USD + significant bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.
Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
#LI-BS1
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Senior D365 F&O Solutions Analyst
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Join Axon and be a Force for Good.
At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.
Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities, and each other.
Life at Axon is fast-paced, challenging, and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.
Your Impact
As Axon's Senior D365 F&O Solutions Analyst, you will be the connective tissue between our enterprise systems, financial operations, and the next generation of AI-powered automation. You'll leverage Microsoft Dynamics 365 F&O to drive supply chain excellence while bringing deep finance and accounting knowledge to optimize end-to-end business processes. This role is for someone who doesn't just use technology — they push it forward, actively deploying AI agents, Power Platform solutions, and MCP integrations to multiply the impact of every process they touch. If you're excited by the idea of building agentic workflows that help Axon's mission scale, this is your seat at the table.
What You'll Do
Location: 4 days in the office (Tuesday-Friday) Hybrid from Axon HQ locations - Scottsdale, Seattle, Boston, Atlanta and New York.
Reports to: Director, D365 Enterprise Applications
Direct Reports: None (Individual Contributor with strong cross-functional influence)
- Own and optimize D365 F&O modules spanning Supply Chain Management (procurement, inventory, warehouse management, supply planning) and Finance (general ledger, accounts payable/receivable, fixed assets, cost accounting) — ensuring system configuration aligns with evolving business needs and financial controls.
- Drive AI-first process improvement by designing and deploying agentic workflows using Microsoft Copilot Studio, Power Automate, and MCP integrations that reduce manual effort across finance and supply chain operations.
- Partner with Finance leadership to ensure accurate financial reporting, month-end close support, cost variance analysis, and compliance with GAAP — translating accounting requirements into D365 configurations and automation solutions.
- Build and maintain Power Platform solutions (Power Apps, Power Automate, Power BI) that surface real-time supply chain and financial KPIs to business stakeholders, enabling data-driven decisions at every level.
- Lead cross-functional discovery and requirements gathering with Finance, Operations, Procurement, and IT teams — translating business needs into functional D365 specifications, user stories, and solution designs.
- Implement and manage agentic AI experiences — using tools such as Azure AI Foundry, Copilot Studio, or third-party LLM integrations via MCP.
- Serve as a subject matter expert on D365 F&O data models, supporting integrations with external systems (EDI, Salesforce, etc.) and ensuring data integrity across the enterprise technology stack.
- Champion a culture of continuous improvement and AI literacy within the Finance and Supply Chain teams — conducting enablement sessions, documenting processes, and identifying the next wave of automation opportunities.
- Support system upgrades, new module rollouts, and D365 release wave evaluations — assessing impact, coordinating testing, and communicating changes to business users.
What You Bring
- 7+ years of hands-on experience with Microsoft Dynamics 365 F&O in a functional or techno-functional capacity, with deep expertise in: Supply Chain Management, Procurement & Sourcing, Inventory Management, Finance/GL, or Cost Accounting.
- Solid foundation in Finance & Accounting principles — you can hold your own in a conversation about month-end close, cost variance, AP/AR workflows, or financial controls, and you understand how those requirements translate into D365 configuration.
- Demonstrated experience building agentic or AI-powered solutions — whether through Microsoft Copilot Studio, Power Automate with AI Builder, Azure AI services, LLM integrations via MCP, or equivalent platforms. You actively use AI in your day-to-day work, not just talk about it.
- Proficiency in the Microsoft Power Platform (Power Apps, Power Automate, Power BI) with a track record of delivering production solutions that solved real business problems.
- Strong analytical and problem-solving skills — able to diagnose process gaps, design elegant solutions, and communicate trade-offs clearly to both technical and non-technical audiences.
- Experience working in a fast-paced, high-growth technology or manufacturing environment, ideally supporting global finance or supply chain operations.
- Bonus: Familiarity with D365 F&O technical concepts (X++ basics, data entities, LCS, Azure DevOps ALM), or experience integrating D365 with MCP-enabled AI agents or external LLM tooling.
Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.
Don’t meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.
Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Important Notes
The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.
Some roles may also require legal eligibility to work in a firearms environment.
We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.
Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.
We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com. Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.
Phishing alert: Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process. All legitimate job openings are listed on our official careers page at https://www.axon.com/careers. If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.
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OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
The Challenge
We are seeking a Principal Domain Architect who will define and drive the technical vision for AI-native and agentic systems across the platform. This role combines deep system architecture expertise, AI innovation, and strategic technology leadership to build scalable, reliable, and enterprise-grade solutions. The Principal Architect will work closely with Product, AI Platform teams, Architecture Guild, and engineering leadership to guide the design of complex distributed systems, influence the product roadmap, and drive the adoption of modern AI-native architectures across the organization. This leader is expected to identify emerging engineering advancements and translate them into strategic business opportunities, while improving engineering efficiency and technical excellence across products.
Your Mission
- Define and deliver architecture for AI-native agentic systems, enabling scalable and enterprise-grade multi-agent solutions.
- Create and evaluate failure mode scenarios for agentic workflows and incorporate architectural safeguards to ensure resilience and reliability.
- Provide deep expertise in LLM architectures, prompt engineering, RAG approaches, model selection, model training, LoRA knowledge, cost optimization, performance, security, and quality considerations.
- Drive technology transformation within the domain, enabling teams to adopt modern AI-native architectures and engineering practices.
- Stay current with rapid advancements in the agentic AI ecosystem, continuously evaluating emerging frameworks, tools, and architectural patterns.
- Champion technical exploration and spikes to test new ideas, validate feasibility, and guide long-term architectural decisions.
- Collaborate closely with the AI Platform team to influence platform capabilities and ensure alignment with enterprise architecture.
- Define metrics, evaluation frameworks, and observability standards for agentic systems.
- Provide architectural guidance and oversight to engineering squads, reviewing designs and co-creating solutions for complex initiatives.
- Act as a technology leader for the domain, influencing the Architecture Guild and driving best practices across engineering teams.
- Ensure teams adopt architecture governance standards and best practices.
- Champion technical controls and disciplined engineering practices to proactively manage architectural complexity and technical debt.
- Design and build high-performance distributed systems capable of supporting enterprise workloads.
- Recognize industry trends and proactively influence the product and engineering roadmap.
- Mentor engineers and architects, strengthening the organization’s technical leadership and architectural maturity.
Architecture Leadership
- Design large-scale distributed systems and AI-powered architectures that support multiple products and integrations.
- Create and maintain architecture models, system diagrams, and technical design documentation covering current and future state architecture.
- Conceive and evolve product and service architectures ensuring scalability, reliability, and operational efficiency.
- Ensure systems are designed for high availability, performance, and ease of operations.
Strategic Technology Leadership
- Contribute to company-level engineering strategy and evaluate the business impact of emerging technologies.
- Lead engineering initiatives to improve platform capabilities and engineering productivity.
- Participate in strategic programs that impact company-wide technical direction.
- Influence cross-organizational architecture decisions and collaborate with Director and VP level stakeholders.
Engineering Excellence
- Recommend technologies and frameworks that increase engineering productivity and system reliability.
- Oversee technical aspects of major initiatives and ensure high engineering standards.
- Mentor engineers and technical leaders to strengthen system design capabilities and engineering best practices.
You Are
- A highly skilled technical leader with strong architectural vision.
- An analytical thinker with strong problem-solving and system design skills.
- A strong communicator capable of influencing leadership and cross-functional teams.
- Passionate about mentoring engineers and improving technical excellence across the organization.
Your Experience Includes
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 16+ years of software engineering experience with deep expertise in distributed systems.
- Extensive experience with Java-based development using REST APIs, Spring Boot, and microservices architectures.
- Strong experience designing distributed, asynchronous, and event-driven architectures.
- Expertise building low-latency, high-throughput data pipelines and large-scale data platforms.
- Experience with data streaming and event processing technologies such as Kafka, Kinesis, Spark, or Flink.
- Strong knowledge of data structures, algorithms, distributed algorithms, and system programming.
- Experience with fault-tolerant messaging systems such as Kafka, RabbitMQ, AMQ, or ZeroMQ.
- Experience working with distributed data stores including MongoDB, Cassandra, CockroachDB, or CouchDB.
- Experience integrating applications with search platforms such as Elasticsearch or Solr.
- Proven experience mentoring engineers and building strong engineering practices.
- Strong ability to create and maintain architecture documentation and system design artifacts.
- Excellent leadership, verbal, and written communication skills.
Extra Impressive
- Master’s degree in Computer Science, Engineering, or related field.
- Experience running large-scale web services and distributed platforms.
- Deep understanding of system performance tradeoffs, load balancing, and high-availability architectures.
- Experience with cloud-native and serverless architectures.
- Experience designing graph-based data models and graph architectures.
- Experience building AI-native platforms or LLM-powered systems.
For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
Your Data
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
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Senior Principal Software Engineer - AI Governance
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Strength in Trust
OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society.
The Challenge
As a Senior Principal Software Engineer, you will serve as a technical leader for OneTrust’s AI Governance platform, driving the design, scalability, and reliability of systems that enable enterprises to deploy and govern AI and LLM-powered applications responsibly. You will deeply understand how customers build, deploy, and operate AI systems, and translate those needs into secure, compliant, and observable platform capabilities.
Your Mission
Development
- Lead the design and development of Java/Python microservices and shared libraries integrating with AI platforms for OneTrust’s AI Governance product.
- Design, build, and test cloud-native applications deployed on Microsoft Azure using Core Java, REST, and the Spring ecosystem.
- Build features with RAG, agent workflows, and model orchestration.
- Own technical design for critical systems, ensuring scalability, security, and reliability.
- Maintain strong automated unit/integration test coverage and engineering standards. Achieve at least 80% code coverage or per the revised standards set by the team
Collaboration
- Work closely with UX, Product Managers and/or Product Owners, as well as other developers to contribute to planning and grooming sessions and drive team’s discussions on system architecture and component design.
- Partner with Product, UX, and Customer Success to understand customer AI use cases and governance needs.
- Lead architecture discussions and technical planning.
- Drive alignment across teams on platform design and priorities.
- Contribute to sprint planning and delivery.
Support
- Reduce defects by identifying and addressing issues early in the development lifecycle.
- Ensure critical and high priority CII’s are delivered per SLA.
- Promote early defect detection through strong design and testing.
- Improve system monitoring, resilience, and operational maturity.
Code Review
- Set standards for clean, secure, and maintainable code.
- Conduct thorough reviews for distributed and AI-enabled systems.
- Guide engineers on testing, automation, and AI system validation.
Lead
- Help build high-performing teams by mentoring the team on new technical skills.
- Influence technical strategy and long-term platform direction.
- Build a culture of ownership, learning, and engineering excellence.
You Are
A senior technical leader with strong system design and hands-on execution skills, who understands how enterprises use AI and LLMs in real-world workflows and can translate those needs into scalable, secure, and compliant platform solutions.
Your Experience Includes
- Bachelor's or master's degree in computer science, Engineering, or related technical or business field.
- 12+ years of professional software engineering/development experience
- Strong expertise in Java/J2EE, Spring, design patterns, microservices architecture, and cloud-native distributed systems
- Proven experience building production-grade agentic AI systems with robust tool-use, guardrails, and observability for enterprise-scale workloads.
- Solid understanding of RAG pipelines, agent workflows, model orchestration, and evaluation practices.
- Working experience with one or more AI platforms like Amazon SageMaker, Google Vertex, AWS Bedrock etc.
- Experience with elastic search and data streaming tools like Kafka.
- Good understanding of web services and SOA related standards like REST/OAuth/JSON.
- Moderate understanding of code and script (Python, Bash)
- Good experience with SQL and NoSQL databases
- Agile development (Scrum, XP, or Pair Programming) experience
- Ability to use a wide variety of open-source technologies and cloud services.
- Familiarity with public cloud providers such as (Azure, Google Cloud, or AWS)
Extra Awesome
- Experience with different databases (Relational and document) is a strong asset.
- Familiarity with continuous integration and continuous deployment (CI/CD) tools.
- Proficiency in Kubernetes, including cluster deployment, scaling, and management is highly desirable.
- Background in enterprise, regulated, or security-focused environments.
For California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington-based candidates: the annual base pay range for this role is listed below. Within this range, individual pay is determined by several factors, including location, job-related skills, work experience, and relevant education and/or training. This role may also be eligible for discretionary bonuses, equity, and/or commissions, as well as benefits.
Where we Work
We are embracing an office-first culture, encouraging three days a week in office for most roles, with meaningful opportunities to collaborate and celebrate in person.
Each role may have specific requirements or flexibility depending on the scope of the position, so we encourage you to verify this with your recruiter during your first interview.
Benefits
As an employee at OneTrust, you will be part of the OneTeam. That means you’ll receive support physically, mentally, and emotionally so that you can do your best work both in and out of the office. This includes comprehensive healthcare coverage, flexible PTO, equity RSUs, annual performance bonus opportunities, retirement account support, 14+ weeks of paid parental leave, career development opportunities, company-paid privacy certification exam fees, and much more. Specific benefits differ by country. For more information, talk to your recruiter or visit onetrust.com/careers.
Resources
Check out the following to learn more about OneTrust and its people:
Your Data
You have the right to have your personal data updated or removed. You also have the right to have a copy of the information OneTrust holds about you. Further details about these rights are available on the website in our Privacy Overview. You can change your mind at any time and have your personal data removed from our database. In order to do this you must contact us and let us know you wish to be removed. The request should be made on the Data Subject Request Form.
Recruitment fraud warning: OneTrust is aware of scams involving false offers of employment with our company. The fraudulent jobs, interviews and job offers use fake websites, email addresses, group chat and text messages. Be aware that we never ask candidates for personal information, IDs or bank information during the interview process. We do not interview prospective candidates via instant message or group chat, and do not require candidates to purchase products or services, or process payments on our behalf as a condition of any employment offer. Please note that any legitimate interview availability requests will come directly from a OneTrust recruiter with an "@onetrust.com" email address. You may also receive legitimate emails from "@us.greenhouse-mail.io". Recruiters will only reach out to candidates who have applied for a role through our ATS (Greenhouse) or prospects via LinkedIn InMail. Job offers will come from a recruiter and may have a "@docusign.net" email address. For more information or if you have been targeted please reach out to askrecruiting@onetrust.com.
Our Commitment to You
When you join OneTrust you are stepping onto a launching pad — the countdown has begun. The destination? A career without boundaries working alongside a diverse and inclusive crew who is passionate about doing meaningful work. As a pioneer, your voice and expertise will help chart the direction of an entirely new category. Our commitment to putting people first starts with you. Your growth is part of the mission. Our goal is to give you the power to embark on the next phase of your uniquely, unique career.
OneTrust provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
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Consultant — AI Strategy, Governance & Security
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About the Role
We are building a differentiated advisory practice at the intersection of AI strategy, governance, and security. As organizations move from AI experimentation to enterprise-scale deployment, they face urgent questions: How do we govern AI responsibly? How do we secure agentic architectures? How do we align technical capabilities with business strategy and regulatory requirements?
This role is designed for a technically grounded early-career professional who wants to help answer those questions alongside senior practitioners. You will work directly with the practice lead on client-facing engagements, contribute to the development of proprietary frameworks and tools, and build expertise in one of the fastest-growing areas of consulting.
This is not a traditional strategy consulting role, and it is not a pure engineering role. It sits at the intersection—you need to be comfortable reading Python, understanding how LLMs and agentic systems work, AND translating that knowledge into governance frameworks, risk assessments, and executive-ready deliverables. If you thrive at the border between technical depth and business impact, this is for you.
What You Will Do
Client Delivery (50–60%)
- Support the design and delivery of AI governance assessments for clients across industries, leveraging frameworks such as ISO/IEC 42001, NIST AI RMF, and the EU AI Act.
- Conduct technical reviews of client AI systems, architectures, and deployments to identify governance gaps, security vulnerabilities, and risk exposure.
- Develop AI risk registers, control mappings, and maturity assessments tailored to each client’s organizational context and regulatory landscape.
- Prepare client-facing deliverables including assessment reports, executive briefings, implementation roadmaps, and policy recommendations.
- Participate in workshops and stakeholder interviews with client teams ranging from data scientists to C-suite executives.
Practice Development (25–30%)
- Help build and refine the practice’s proprietary AI governance and security framework, integrating industry standards with practical implementation experience.
- Research emerging AI risks, including those specific to agentic AI systems, LLM-based applications, MCP architectures, and AI supply chains.
- Develop reusable tools, templates, and accelerators (e.g., assessment questionnaires, control libraries, risk scoring models) to scale the practice.
- Contribute to thought leadership content: draft LinkedIn posts, white papers, blog articles, and conference presentation materials.
- Monitor regulatory and standards developments (EU AI Act, state-level AI legislation, ISO/IEC updates, OWASP LLM Top 10) and maintain a current knowledge base.
Technical Contribution (15–20%)
- Build proof-of-concept tools and demos using Python to illustrate governance and security concepts for clients (e.g., prompt injection demonstrations, model evaluation dashboards, automated compliance checks).
- Evaluate and test AI platforms, tools, and vendor solutions from a governance and security perspective.
- Support the practice lead’s technical fluency development by preparing technical briefings, annotated code walkthroughs, and “translation” materials that bridge technical and executive audiences.
- Stay hands-on with AI/ML development trends: experiment with agentic frameworks (LangChain, LangGraph, CrewAI), RAG architectures, and model evaluation techniques.
What We Are Looking For
Required Qualifications
- 2–3 years of professional experience in one or more of the following areas: AI/ML engineering, data science, or cybersecurity.
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Cybersecurity, Engineering, or a related field. Master’s degree is a plus but not required.
- Working proficiency in Python and comfort navigating data science tooling (Jupyter, Pandas, Scikit-learn, or equivalent).
- Foundational understanding of machine learning concepts: supervised/unsupervised learning, model training and evaluation, overfitting, bias-variance tradeoff.
- Familiarity with LLM-based applications: understanding of how large language models work (at minimum: tokenization, embeddings, attention, fine-tuning vs. RAG vs. prompt engineering).
- Strong written and verbal communication skills—you must be able to explain technical concepts to non-technical stakeholders clearly and concisely.
- Comfort working in ambiguity: this is a practice being built, not a mature team with fully defined processes. You need to be self-directed and resourceful.
Preferred Qualifications
- Exposure to AI governance or risk management frameworks (ISO/IEC 42001, NIST AI RMF, EU AI Act, OWASP LLM Top 10, MITRE ATLAS).
- Experience with agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or understanding of agent architectures and tool-use patterns.
- Understanding of MCP (Model Context Protocol) or similar protocols for AI system integration and the security implications thereof.
- Background in cybersecurity, including familiarity with security frameworks (NIST CSF, ISO 27001) and how they intersect with AI-specific risks.
- Experience in a consulting or professional services environment, including client-facing work and deliverable development.
- Relevant certifications such as: CISA, CISSP, CCSP, AWS/Azure AI certifications, or ISO 42001 Lead Implementer/Auditor.
- Bilingual English/Spanish is a strong plus.
The Kind of Person Who Thrives in This Role
We are not looking for someone who fits neatly into a single box. The ideal candidate is a “bridger”—someone who can move fluidly between a technical deep dive and an executive conversation. Specifically:
- You’re a builder, not just an analyst. When you see a gap in a process or a tool, your instinct is to prototype something—a script, a template, a dashboard, not just write a slide about it.
- You’re curious about “why” and “so what.” You don’t just want to understand how a transformer model works; you want to understand what that means for how organizations should govern and secure it.
- You write well. A significant portion of this role involves producing written work—reports, frameworks, articles—and clarity of writing is non-negotiable.
- You’re comfortable being the least experienced person in the room. You’ll be in meetings with CIOs, CISOs, and senior partners. You need the confidence to contribute and the humility to learn.
What We Offer
- Accelerated growth trajectory: You’ll be building a practice from the ground up alongside senior leadership, gaining exposure and responsibility that would take years to earn in a larger, more established team.
- Investment in your learning: Budget for certifications, training programs, and conference attendance.
- Client diversity: Work across industries and with organizations at different stages of AI maturity—from Fortune 500 companies to mid-market firms navigating their first AI initiatives.
Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance.
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
This role is responsible for defining, driving, and executing the product strategy for a portfolio of NiCE Enterprise solutions integrated into the NiCE CX Platform. The Product Manager will own roadmap development, backlog prioritization, and cross-functional alignment to ensure seamless integration and successful go-to-market execution.
Acting as a key liaison between the NiCE Enterprise Line of Business (LoB) and the NiCE CX LoB, this role requires strong negotiation, communication, and stakeholder management skills. You will collaborate closely with engineering, operations, marketing, training, and sales teams to deliver high-impact solutions that enhance customer experience and business value.
Key Responsibilities
Product Strategy & Roadmap
- Define and drive the product roadmap for NiCE Enterprise portfolio integrations within the CX Platform
- Own and prioritize the product backlog, ensuring alignment with business goals and customer needs
- Identify new opportunities through customer, market, and competitive insights
- Develop business cases, including revenue opportunities, use cases, and feature definitions
Customer & Market Intelligence
- Proactively gather feedback from customers, prospects, and internal stakeholders
- Analyze market trends, industry developments, and emerging opportunities
- Evaluate competitor capabilities, positioning, and pricing to inform strategy
- Translate insights into actionable product improvements and innovation
AI & Innovation Enablement
- Leverage AI/LLM capabilities to enhance product workflows and lifecycle efficiency
- Utilize AI tools to accelerate documentation, prototyping, and design processes
- Identify opportunities to embed generative AI into product features and user experiences
Cross-Functional Leadership
- Act as the primary liaison between NiCE Enterprise and NiCE CX LoBs, driving alignment and resolving conflicts
- Partner with Engineering, Architecture, and Operations to deliver scalable solutions
- Collaborate with Marketing, Sales, and Training to support go-to-market initiatives
- Facilitate cross-functional workshops to define product concepts and requirements
Execution & Delivery
- Lead end-to-end product development, from concept through launch
- Create and maintain clear documentation: requirements, user stories, interaction designs, and launch plans
- Support data-driven decision-making through analysis and performance insights
- Ensure successful delivery of product initiatives through strong project coordination
Subject Matter Expertise & Enablement
- Serve as the subject matter expert for assigned products and features
- Train internal teams on new capabilities and product enhancements
- Support sales efforts by providing product expertise and participating in key opportunities
- Represent the product in customer engagements, demos, and industry events
Required Qualifications
Education
- Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
Experience
- 4+ years of product management experience delivering software products
- Strong experience translating business needs into technical requirements and specifications
- Proven ability to work across technical and non-technical audiences, including executives
- Experience managing competing priorities in fast-paced, high-pressure environments
Skills
- Excellent written and verbal communication skills
- Strong analytical and problem-solving abilities
- Ability to interpret technical concepts and communicate them clearly
- High attention to detail with strong organizational skills
- Proficiency with tools for documentation, diagramming, and product planning
- Self-starter with a proactive, ownership-driven mindset
Preferred Qualifications
- Experience with project management methodologies and tools
- Background in telecommunications, SaaS, networking, or cloud-based platforms
- Familiarity with Agile, ITSM, or product-led environments
- Strong time management skills with the ability to manage multiple initiatives simultaneously
- Experience collaborating closely with engineering and technical teams
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Glean is seeking an Enterprise Regional Director, a front line sales leader who will lead a team of Enterprise Account Executives. This role will be responsible for running a regional plan, building out the territory, developing Enterprise Account Executives within the region, while implementing a strong sales methodology, working complex enterprise sales cycles focusing on landing and expanding the largest accounts within the Southeast Region.
You will:
- Meet or exceed monthly, quarterly and yearly revenue targets
- Develop and execute a comprehensive regional plan
- Accelerate customer adoption
- Continually build and grow a robust sales pipeline
- Work with partners to extend reach & drive adoption
- Lead contract negotiations
- Develop long-term strategic relationships with key accounts
- Ensure customer happiness and success
- Help to recruit and build your Enterprise Account Executive team
About you:
- At least 5 years formal sales leadership experience building and leading high performance sales teams.
- Strong leadership and coaching skills, with the ability to motivate and develop a high-performing sales team.
- Excellent communication and interpersonal skills, with the ability to build strong relationships with customers and internal stakeholders.
- Strong analytical and problem-solving skills, with the ability to make data-driven decisions.
- Significant enterprise sales and strategic customer development experience.
- History of accurate forecasting and business reporting.
- Have clear examples of closing complex deals and selling into complex organizations
- Effectively use a repeatable method for uncovering greenfield opportunities and building out a new territory
- Previous experience building relationships and selling face to face to C level executives
- Knowledge of best of breed softwares and a technical understanding of integrations, APIs, infrastructure management, security and analytics
- Experience selling technical SaaS and cloud based software solutions
- Basic understanding of search infrastructure is a plus
- You have previous experience working with multiple teammates including SEs, BDRs, PMs, Executives & Engineers
- Experience with target account selling, solution selling, and using MEDDIC and Challenger (or similar) methodologies is a plus.Experience selling at a startup or a similar fast-paced environment.
Location:
- This role is remote, but must be based in the Southeast, (Carolinas, Georgia, or Florida).
Compensation & Benefits:
Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits.
We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing.
We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
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Senior AI Engineer
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WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let’s chat!
SENIOR AI ENGINEER
We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.
What experience should you have:
- 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
- Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
- Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
- Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
- Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
- Experience in Typescript development for prototyping and integrations
- Proficiency with git workflows and understanding of standard application development processes
Preferred Qualifications
- Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
- Experience optimizing inference costs and latency for large-scale deployments.
- Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
- Any Google Cloud Professional Certification
What you’ll be doing in this role:
- Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
- Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
- Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
- Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
- Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
- Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
- Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
- Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.
What you’ll need to accomplish in your first year:
- Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
- Mentor engineers on best practices for building deterministic software around probabilistic AI models.
Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
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Senior Software Engineer - AI Coding Agents
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
AI Software Engineer – Cloud AI Platforms
At NICE, we are not just building software—we are transforming how cloud operations are run using AI. We are building intelligent platforms that can understand system behavior, make decisions, and automate real-world operational workflows at scale. If you’re excited about applying AI beyond chatbots into real production systems, this is an opportunity to work on meaningful, high-impact problems.
What’s the role all about?
As an AI Software Engineer, you will be part of a team building AI-powered operational platforms that integrate across monitoring systems, CI/CD pipelines, ticketing tools, and cloud infrastructure. You will work on designing and implementing intelligent workflows, integrating AI models, and building scalable systems that automate complex operational tasks.
This is a highly hands-on role focused on building, integrating, and scaling AI-driven solutions in production environments.
How will you make an impact?
- Build and scale AI-driven workflows and automation systems
- Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
- Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
- Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
- Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
- Translate real-world operational problems into automated, intelligent solutions
- Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
- Improve system performance, reliability, and observability
- Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
- Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity
Key Responsibilities
- Design and develop scalable backend systems for AI-powered platforms
- Build and maintain AI integrations, workflows, and automation pipelines
- Implement REST APIs, microservices, and event-driven architectures
- Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
- Work with both structured and unstructured data for AI use cases
- Contribute to CI/CD pipelines, testing, and deployment automation
- Troubleshoot and optimize production systems
- Collaborate with cross-functional teams to deliver high-quality solutions
- Contribute to reusable frameworks and engineering best practices
- Prototype fast — move from concept to working demo in days, ship incrementally
What we’re looking for
- 5+ years of software engineering experience, strong focus on full-stack web development
- Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
- Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
- Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
- Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
- Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
- Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
- Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
- Experience building scalable, distributed systems in cloud environments (AWS / Azure)
- Working knowledge of CI/CD, Docker, Kubernetes
- Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
- High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
- Strong problem-solving and analytical skills
- Ability to work in a fast-paced, evolving environment
- Communicate effectively with both technical and non-technical stakeholders
Nice to have
- Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
- Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
- Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
- Experience with sandboxed execution environments for safely running AI-generated code
- Built research tools, experimentation platforms, or scientific software
- Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
- Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
- Experience building automation or internal platforms
- Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
- Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
- Experience with alternate JS runtimes — Bun, Deno
- Built open-source tools or platforms with active user communities
- Strong quantitative foundation (math, physics, or related fields)
Representative Projects
Things you might build in this role:
- Interfaces for collecting and managing human feedback on model outputs at scale
- Experiment orchestration platforms — launch, monitor, and analyze complex AI research runs
- Visualization tools that help understand model behavior and identify failure modes
- Reusable components and frameworks that enable rapid development of new AI applications
- Sandboxed execution environments for safely running AI-generated code
- AI-powered personalization engines — tutoring, content generation, adaptive features
- Workflow builders that let non-engineers orchestrate AI capabilities visually
- Enterprise integrations — ServiceNow, Salesforce, Confluence, Jira
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Ready to apply?
Apply to NICE
At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
At NiCE, AI Product Strategists lead from the front. This means maintaining direct engagement with customers and partners, deeply understanding real-world business challenges, and translating those needs into innovative solutions.
NiCE is an AI-first technology company, and AI Product Strategists are expected to actively embrace modern AI tools in their daily work — using them to accelerate discovery, prototype new ideas, and rapidly validate solutions with real users.
The AI Product Strategist plays a critical role in shaping the NiCE product and solution portfolio by developing market and product requirements based on customer insights, competitive intelligence, technical considerations, and evolving market trends. This role defines rollout strategies for bringing products to market, develops product positioning, packaging, and pricing strategies, and champions the product launch process across NiCE and with potential customers.
As part of NiCE’s AI-first culture, AI Product Strategists leverage modern AI development tools to rapidly test ideas and validate product concepts. This includes the ability to create early working prototypes using AI-assisted development tools (sometimes referred to as “vibe coding”) that allow teams and customers to interact with real functionality during early design stages.
A Typical Day Might Include the Following
- Work directly with partners, customers, and NiCE sales teams to understand business needs related to interaction analytics within the contact center.
• Maintain direct client engagement to validate product direction and ensure customer needs are reflected in product strategy.
• Develop and maintain Product Requirements Backlogs detailing business and technical requirements for upcoming releases.
• Assist in developing functional and technical designs for features and capabilities defined in the product requirements.
• Rapidly prototype new product ideas using AI-assisted development tools to validate concepts with internal teams and customers.
• Leverage modern AI development platforms (such as Claude Code, Manus AI, Lovable, and other emerging tools) to accelerate ideation, prototyping, and experimentation.
• Manage relationships across functional groups and influence cross-functional teams without direct hierarchical ownership.
• Prioritize and manage defects, improvements, and feature enhancements.
• Design, storyboard, and develop compelling product demonstration scenarios within the application.
• Participate in customer-facing sales meetings, events, and user conferences as a product and AI solutions expert.
• Perform competitive analysis and serve as a key internal resource for knowledge of competing products and capabilities.
• Communicate the value of GenAI and Copilot solutions to a wide range of audiences, including internal teams (sales, services, and support), customers, prospects, and partners.
• Communicate effectively and professionally with customers both inside and outside of the NiCE CXone ecosystem.
To Land This Gig You'll Need
Bachelor’s Degree in Computer Science, Business Information Systems, Marketing, or a related field (or equivalent work experience). Master’s Degree preferred.
- 5+ years of experience in software product management, professional services, or a similar strategic role.
• Excellent written and verbal communication skills.
• Demonstrated experience advocating for customer needs and translating them into product direction.
• Strong cross-functional leadership and project management skills.
• Proven ability to take initiative and work independently in a fast-moving environment.
• Ability to thrive in dynamic and evolving business environments.
• Comfort communicating across all levels of the organization.
• Ability to partner with sales executives and support opportunities as a subject matter expert, particularly for emerging offerings.
• Contact center industry experience preferred.
• User experience or graphic design experience is a plus, but not required.
• Knowledge of telephony infrastructure is a plus, but not required.
• Experience with contact center solutions including agent interactions, automation, virtual agents, and GenAI / LLM technologies.
• Ability to manage multiple initiatives and balance competing priorities.
• Experience with software development, networking, hosted applications, telecommunications, or similar technical product environments.
• Experience working with SaaS-based product platforms.
Additional Preferred Qualifications
- Demonstrated experience working directly with enterprise customers to gather requirements and translate them into product direction.
• Comfort leveraging AI tools to accelerate product discovery, prototyping, and experimentation.
• Experience building early functional prototypes using AI-assisted development tools such as Claude Code, Manus AI, Lovable, or similar platforms.
• Curiosity and willingness to continuously experiment with emerging AI technologies to improve product development velocity and innovation.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Director, Product Management, Platform
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At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
Do you love creating strategies and vision that can take a diverse portfolio of products and make them all run like a well-oiled machine? If so then NiCE is the place for you.
This Director of Product Management will lead the strategy, vision, and execution for the CXone platform — the shared foundation of services that accelerate application teams' time to market. As the contact center industry undergoes its most significant transformation through AI and automation, this leader will define how AI-native capabilities are prioritized, built, and delivered across the platform. Managing a team of Product Managers, they will own the platform roadmap, drive cross-functional alignment, and ensure the platform evolves to meet the demands of a rapidly changing AI landscape.
A Typical Day Might Include the Following:
- Defining and driving the platform strategy and AI enablement roadmap — including AI-aware extensions to shared services such as the API facade, security and compliance, telemetry, tenant management, and billing framework — to accelerate application teams' time to market for AI-powered features.
- Leading rapid prototyping and proof-of-concept initiatives with engineering to validate platform service concepts — testing assumptions on scalability, integration patterns, and developer experience before committing to full roadmap investment.
- Developing and prioritizing product roadmaps and cross-solution backlogs, balancing market demand, customer needs, and business objectives while managing cost margins for a multi-million dollar solution set.
- Driving spec-driven product development — authoring platform API contracts, service specifications, and integration guides that serve as the primary handoff artifact between product and engineering, ensuring alignment before development begins.
- Collaborating with platform engineering, security, and application product teams to define requirements, integration patterns, and governance standards for AI services built on or consumed through the platform.
- Monitoring platform service performance metrics relevant to AI workloads — including API gateway throughput, service reliability, and usage telemetry — to ensure SLA commitments are met for dependent application teams.
- Driving responsible AI standards at the platform layer — including data privacy controls, audit logging, and compliance guardrails — so that application teams inherit governance by default rather than solving it independently.
- Developing the AI fluency of the platform product management team — building shared understanding of how AI workloads stress platform services differently, and ensuring PMs can critically evaluate requests from application teams building AI-powered features.
- Building and maintaining key relationships with strategic partners and representing NiCE CXone as an industry thought leader at customer sites, trade shows, and industry events.
- Partnering with sales and go-to-market teams to support opportunities, communicate platform capabilities, and respond to customer requirements and escalations.
- Providing leadership through coaching, feedback, development goals, and performance management; responsible for recruiting and hiring within the department.
- Reporting on performance metrics and adjusting priorities, staffing, and workloads to ensure efficient operation in alignment with departmental goals and objectives.
To Land This Gig You'll Need:
- Bachelor's Degree in Computer Science, Business Information Systems, Marketing, or similar field preferred, or equivalent experience; MBA would be a great addition.
- 12+ years of product management experience with formal product management techniques, tools, and principles for planning and delivering software products and services.
- Demonstrated experience delivering platform or infrastructure capabilities that enabled engineering teams to build and ship AI-powered products at scale.
- Fluency in AI/ML concepts sufficient to evaluate how AI workloads impact platform services — including API design, security, scalability, and observability — without needing to write code.
- Working knowledge of LLM and generative AI capabilities sufficient to anticipate platform needs — including API design considerations, cost attribution, rate limiting, and security implications of integrating AI services into a multi-tenant platform.
- Experience defining and tracking success metrics for platform services supporting AI workloads — including adoption rates by application teams, time-to-integrate, SLA adherence, and reduction in duplicated AI infrastructure across product lines.
- Experience with spec-first or API-first development practices, including authoring technical product specifications that bridge product intent and engineering implementation across a shared platform used by multiple application teams.
- Demonstrated ability to lead through influence, present confidently to customers and co-workers, and engage effectively with technical resources — listening carefully, asking the right questions, and translating technical inputs into product decisions.
- In-depth knowledge of agile & SCRUM development methodologies and experience with a SaaS product set.
Experience Preferred:
- Contact center experience with an emphasis on reporting, data usage, and analysis; familiarity with omnichannel and multichannel contact management.
- Familiarity with conversational AI, virtual agents, or generative AI applications — particularly from the perspective of understanding what shared platform capabilities these features require to scale across a multi-tenant environment.
- Understanding of AI governance considerations — including data privacy, audit logging, and regulatory requirements (GDPR, CCPA) — as they apply to building compliance capabilities into a shared platform used by multiple application teams.
- Familiarity with agentic AI workflows and multi-step AI orchestration — to anticipate platform service requirements as application teams begin building autonomous AI-driven features on top of the platform.
- Experience tracking how platform and infrastructure capabilities are evolving to support AI workloads in enterprise SaaS — including awareness of emerging patterns in multi-tenant AI governance, shared model serving, and developer experience for AI-enabled platforms.
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
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Job Title: VP, AI Engineering
Location: Atlanta, GA
Employment Type: Full-time, Salaried
Who We Are
Impiricus is the first and only AI-powered HCP Engagement Engine. In 2025, Deloitte named Impiricus the #1 fastest growing company in North America for their prestigious Fast 500 list. Founded by a practicing physician and a senior pharmaceutical executive, Impiricus was created to transform how life sciences companies support physicians. We ethically connect HCPs to pharma resources, reduce go-to-market costs and accelerate patient access to the treatments they need.
With our unique access to the largest opted-in network of HCPs, their insights, and clinical expertise, we are the leading provider of AI technology and real-time channels that life science companies need to deliver clear, reliable, and evidence-based resources directly into the hands of HCPs. Guided by a council of 2000+ trusted HCP advisors, we ensure every interaction is clinically meaningful, ethically grounded and leads to better patient care.
Job Summary
As a VP, AI Engineering at Impiricus, you will lead the vision, strategy, and execution of AI-driven innovation across our platform. You will partner closely with product, engineering, and business leaders to deeply understand company and customer challenges, and translate them into scalable, high-impact AI solutions.
You will define how AI transforms our products—leveraging cutting-edge techniques in machine learning, large language models, and decision systems to drive measurable outcomes in healthcare engagement. This role requires both strategic leadership and hands-on technical depth, ensuring that AI is not just exploratory, but production-ready, reliable, and delivering real-world value.
Responsibilities
- Define and execute the company’s AI engineering strategy aligned with product and business objectives
- Build, lead, and scale a high-performing team of AI/ML engineers
- Architect and deliver cutting-edge AI solutions, including LLM-powered systems and intelligent automation
- Translate complex business and product challenges into scalable AI-driven solutions
Own the end-to-end AI lifecycle, from research and prototyping to production deployment and monitoring - Establish best practices for ML infrastructure, experimentation, evaluation, and governance
- Design and maintain scalable, reliable AI platforms using modern tooling and distributed systems
- Stay at the forefront of AI advancements and integrate state-of-the-art techniques into production
- Partner with cross-functional leaders and communicate AI strategy, progress, and impact to executive stakeholders
Experience
- PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
- 10+ years of experience in the AI field, spanning academia and/or industry
- Demonstrated experience applying AI to solve real-world, high-impact problems
- Deep expertise in machine learning, deep learning, and modern AI methodologies
- Strong experience with LLMs, prompt engineering, and emerging agent-based systems
- Knowledge of reinforcement learning and/or sequential decision-making frameworks
- Proven experience building scalable ML infrastructure and distributed systems
- Hands-on expertise with modern AI tooling
- Track record of delivering production-grade AI systems (not just research prototypes)
- Strong understanding of state-of-the-art AI research and ability to translate it into practical applications; publications, patents, or notable contributions preferred
Important Notice
To protect candidates, please note that all communication from our team will come directly from an @impiricus.com email address. We do not engage third party recruiters to schedule interviews for this role. If you receive outreach from anyone outside of our domain claiming to represent Impiricus, please disregard and let us know by forwarding the message to careers@impiricus.com
Benefits
Impiricus focuses on taking care of our teammates’ professional and personal growth and well-being.
Healthcare: Medical, dental, and vision coverage for you and your dependents + on-demand healthcare concierge HSA, FSA & DCFSA: Pre-tax savings options for healthcare and dependent care, with monthly employer contributions to HSA (if enrolled in a high-deductible plan) Coverage & Protection: 100% paid short- and long-term disability, plus life and AD&D insurance Flexible Time Off: Take the time you need with a flexible vacation policy — recharge your batteries your way Parental Leave: Paid parental leave to spend time with your newborn, adopted, or foster child (available after 6 months) Your Work, Your Way: If you’re close to an office, we encourage spending some time in-person to collaborate and connect. If not, remote is always an option. Home Office Setup: We’ll ship you the gear you need to create a comfortable workspace at home. 401(k): Save for your future with tax advantages (and company match!)
Impiricus provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
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Who We Are
QGenda is redefining healthcare workforce management everywhere care is delivered. We're on a mission to empower the healthcare industry to better onboarding, deploy, and manage their workforce. Over 4,500 healthcare organizations have trusted us to help them make strategic workforce decisions through our unified software platform. With more than 800 employees across the US, we are united in our vision and culture to make a difference for our customers, while enjoying the day-to-day.
At QGenda, we value our employees and their contributions toward the success of the business. We strive to create a dynamic work environment that fosters growth, innovation, and collaboration, where employees can be proud of the work they do and the impact it has on the healthcare industry.
QGenda is headquartered in Atlanta.
To learn more about QGenda, visit us at qgenda.com or follow us on Instagram or LinkedIn.
About Your Role
We are seeking an Agentic AI Engineer to design, build and deploy intelligent AI agents that enhance business workflows across the organization.
This role focuses on building autonomous systems that can reason, take action across enterprise platforms and support teams by automating repetitive processes, accelerating response times and improving data quality.
How You’ll Make an Impact
- Design and deploy autonomous AI agents that are capable of executing structured business workflows with or without human interaction
- Develop multi-step reasoning workflows leveraging tool-calling, memory and planning strategies
- Connect AI agents to operate across internal and external systems, including Salesforce, Slack, Google
- Ensure integrations meet enterprise security and compliance standards through guardrails, evaluation frameworks, and human-in-the-loop controls
- Collaborate with internal teams to ensure QGenda’s infrastructure supports agent orchestration and responsible AI deployment
- Continuously monitor, optimize and improve agent performance based on measurable KPIs
Who You Are
- Entrepreneurial mindset with strong execution discipline
- Systems thinker who balances innovation with risk management
- Strong debugging and failure-analysis skills
- Product-oriented - focused on business outcomes
- Comfortable operating in ambiguity when building structured solutions
Experience You Bring
- Bachelor’s Degree in Computer Science, Data Science or related technical discipline
- Hands-on experience building AI agents using Claude Code and/or OpenClaw, tool-calling and multi-step reasoning architectures
- Experience integrating AI systems with Salesforce, Slack or other webhook-based systems
- Experience with Playwright or similar browser automation frameworks
- Strong programming skills in Python and/or TypeScript
- Experience deploying autonomous agents into production environments
- Strong understanding of LLM limitations, evaluation methods and prompt engineering
Applicants for this position must be authorized to work for any employer in the United States (U.S.), including being located in the US. We are unable to sponsor, take over sponsorship of, or hire candidates with an employment visa at this time.
What’s In It For You
We offer a comprehensive total rewards package to support our full-time employees and their family’s day-to-day needs, well-being and major life events, which includes:
- Fully company-paid options for medical (both in-person and virtual), dental and vision insurance
- Generous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balance
- Paid parental leave for birth, adoption or permanent placement
- 401(k) with company match
- Options to work in a hybrid-working model or remotely from home, depending on the position
- Annual Costco membership, cell phone stipend, commuter benefits, in-office perks and more
QGenda delivers technology solutions to improve how healthcare is delivered and increase access — for everyone. We can only succeed by bringing together diverse minds, thoughts, ideas and team members to create better solutions for our customers and make us a better company as a whole. We are committed to creating a culture of embracing diversity, inclusion and equity for all.
QGenda is an Equal Employment Opportunity employer and makes all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, natural origin, ancestry, age, marital status, disability or genetic information, military status, status as a disabled or protected veteran or any other protected status under applicable law.
If you require accommodations or assistance to complete the online application process, please contact recruiting@qgenda.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. We will respond to your email promptly.
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Staff Attorney
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Wilson Elser is a leading defense litigation law firm with more than 1400 attorneys in 46 offices throughout the United States. Founded in 1978, we rank among the top 100 law firms identified by The American Lawyer and 36 in the National Law Journal’s survey of the nation’s largest law firms.
Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Staff Attorney position, in any of our offices.
This position offers a flexible, hybrid working arrangement.
The Position
This is not your average discovery role. We’re looking for a sharp, investigative lawyer who enjoys working as part of a team and thrives on digging deep, spotting critical issues, and navigating complex discovery landscapes with precision. If you enjoy engaging directly and collaborating with in-house and outside counsel and crafting tailored discovery responses that align with both individual case nuances and broader national strategies, this dynamic position is for you. This is not a document review position; this person will be part of a dynamic team that develops and executes national strategies for a large international firm client.
Key Responsibilities:
- Conduct thorough investigations and proactively spot discovery issues unique to each case.
- Collaborate closely with inside counsel and external law firms to address distinct discovery challenges and provide clear, actionable guidance.
- Develop and craft strategic discovery responses tailored to individual cases while ensuring alignment with overarching national litigation strategies.
- Operate in a fast-paced, dynamic legal environment where adaptability and innovative problem-solving are essential.
- Continuously monitor and evaluate discovery processes to identify opportunities for improvement and risk mitigation.
Qualifications
- Juris Doctor (JD) degree from an accredited law school.
- Admission to practice law in relevant jurisdictions.
- Proven experience in litigation discovery, investigations, or related legal roles.
- Strong analytical and issue-spotting skills with attention to detail.
- Excellent communication skills and ability to collaborate effectively with diverse legal teams.
- Excellent writing skills.
- Comfortable working in a dynamic, fast-moving environment.
- Experience with AI large language model is a plus.
- Personal injury litigation background preferred.
We are not currently accepting agency submissions for this position.
Why Should You Apply?
- Flexibility: Hybrid work arrangements to support work-life blend
- Benefits: Outstanding benefits package, including 401k match and generous PTO plan
- Career Growth: Ample opportunities for professional development and advancement
- Employee Perks: Access to corporate discount plans and other benefits
Wilson Elser welcomes submissions of candidates for our open positions exclusively from recruitment agencies with an active, signed fee agreement who have been granted access to a position through our dedicated Recruitment Agency Portal. We are unable to consider submissions from recruitment agencies without a current (dated as of 7/1/2024) agreement in place. We appreciate your understanding. For collaboration inquiries or to establish an agreement, please contact us at talentacquisition@wilsonelser.com.
Wilson Elser is committed to a collegial work environment in which all individuals are treated with respect and dignity. It is the Firm's policy that employment will be based on merit, qualifications, and competence. Further, employment decisions will be made without regard to an applicants race, color, age, sex, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation or preference, gender identity, physical or mental disability, status as a victim of domestic violence, sex offenses, or stalking, past or present service in the uniformed services or application or obligation to serve in the uniformed services, or any other characteristic protected by law.
Wilson Elser endeavors to make the Wilson Elser website accessible to any and all users. You may review our Accessibility Policy here.
California Residents may review our CCPA notice for applicants and employees here.
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Chief of Staff to the Managing Director of AI
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Location: US or Canada
Type: US Applicants - Full-Time; Canadian Applicants - Independent Contractor
About Human Agency
We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth.
We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time.
Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact.
Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down.
We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are at and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation.
And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same.
The Opportunity
We are seeking an exceptional Chief of Staff for our Managing Director of AI—someone who combines strategic vision in AI with hands-on execution and technological know-how. You'll be both a force-multiplier and a transformation architect: designing AI-enabled processes, building automated engines that run independently, leading organizational rollouts, and ensuring crisp execution across our AI solutions practice.
This role goes beyond traditional Chief of Staff responsibilities. You'll design processes that leverage AI, build repeatable systems that scale, and lead entire client transformations from discovery to sustained adoption. You have the potential to grow into leading organizational-level AI implementations as the practice expands.
Key Responsibilities
Strategic & Executive Leadership
- Partner with the Managing Director of AI and the executive team to translate priorities into sequenced plans, resourcing, and measurable outcomes
- Lead Human Agency's AI transformation methodology: define offerings, build repeatable frameworks, and establish best practices for AI-enabled workflows
- Design end-to-end processes that embed AI tools (LLMs, automation platforms, knowledge assistants) into client workflows and internal operations
- Translate complex AI capabilities into clear business cases, use cases, and implementation roadmaps for executive audiences
- Produce high-quality executive materials (briefings, roadmaps, decision memos) that drive alignment and decisions
- Identify where AI creates leverage across client engagements and surface strategic opportunities to leadership
AI Process Design & Automated Engines
- Design and build AI-powered systems that operate independently with minimal ongoing intervention—automated engines that scale beyond individual engagements
- Create repeatable processes for AI implementation: discovery frameworks, solution architectures, evaluation routines, and governance models
- Design prompts, playbooks, and knowledge bases optimized for reliability, consistency, and reusability across multiple clients
- Implement lightweight automation using no/low-code tools (Zapier, Make, Airtable) integrated with AI capabilities
- Establish monitoring and feedback loops that enable self-correcting, continuously improving systems
- Document patterns and best practices that can be deployed at scale
Client Service Delivery & Organizational Rollouts
- Own end-to-end delivery on multiple client engagements involving AI-enabled solutions (e.g., knowledge assistants, workflow automations, content summarization, research copilots), from discovery through launch and sustained adoption
- Lead company-wide and client-wide AI adoption initiatives—managing stakeholder alignment, training, governance, and measurement across entire organizations
- Run comprehensive discovery to surface use cases, success metrics, risks, change-management needs, and technical requirements; translate findings into scopes, timelines, and clear acceptance criteria
- Coordinate solution build-outs with internal teammates and external partners: data/connectivity needs, tool selection, integration planning, prompt engineering, and rollout choreography
- Design change-management approaches that address skill gaps, cultural resistance, workflow disruption, and organizational readiness
- Partner with client leadership to sequence rollout phases, manage dependencies, and demonstrate ROI
Quality, Governance & Evaluation
- Set lightweight evaluation routines: accuracy metrics, latency benchmarks, cost tracking, quality assurance processes, and continuous improvement cycles
- Establish prompt/playbook management, basic safety/guardrail checks, and UAT plans
- Build governance frameworks that enable responsible, scalable AI adoption across organizations
- Implement monitoring systems that track performance, usage, and business impact
Stakeholder Management & Enablement
- Lead standing client check-ins, executive presentations, demo readiness, decision logs, and release notes, presenting succinct options and recommendations
- Create comprehensive enablement materials: user guides, FAQs, training programs, and governance playbooks that empower client teams to operate AI systems independently
- Build lasting client relationships through proactive communication, anticipation of needs, and consistent delivery quality
- Present to executive audiences with clarity and confidence, addressing concerns about accuracy, security, and adoption
Operations & Project Management
- Design and continuously improve the operating system for AI work: intake → triage → prioritization → delivery → QA → launch → measurement
- Manage staffing assignments and subcontractor contributions across concurrent workstreams; keep tools current (Asana/Notion, Google Workspace, Slack)
- Budget & scope control: track time against SOWs, flag changes early, manage vendors, and ensure on-budget delivery with clear documentation
- Establish shared dashboards for delivery health (timeline, risk, burn, dependency status) and run tight meeting cadences
Communications & Reporting
- Prepare agendas, briefings, and executive-ready presentations; synthesize complex information into actionable insights
- Provide clear, timely reporting to the Managing Director of AI and stakeholders on progress, risks, and decisions
- Contribute to Human Agency's AI thought leadership through documentation of best practices, case studies, and insights
Who You Are
Experience & Skills
- 5-7+ years in operations, client services, product/program/project management, strategic support, consulting, or transformation roles with direct ownership of client-facing delivery
- Demonstrated success leading multi-stakeholder projects and organizational change initiatives end-to-end (scope, timelines, budgets, risk, and change management)
- Deep AI fluency: hands-on experience implementing LLM-enabled solutions, prompt engineering, workflow automation, and knowledge management systems; can shape prompts/playbooks, evaluate quality, and choose appropriate tools or vendors
- Strong understanding of AI capabilities and limitations, when to use AI, how to design for reliability, and how to manage risks responsibly
- Proven ability to design repeatable processes and systems that scale beyond individual projects
- Experience with no/low-code automation platforms (e.g., Zapier/n8n), knowledge bases, and modern AI tooling
- High proficiency with Google Workspace, Asana/Notion, Slack, and comfort with modern web and content tools; experience preparing polished executive documents and presentations
- Exceptional ability to translate complex technical concepts into clear business value for non-technical audiences
- Bonus: Experience leading organizational-level technology rollouts, background in management consulting, familiarity with responsible AI considerations (privacy, data handling, consent, bias mitigation), or experience in AI/ML product development
Mindset & Traits
- Builder and operator: You design systems that work without constant oversight, not just execute tasks
- Strategic and tactical: Comfortable setting vision while rolling up sleeves for hands-on implementation
- AI pragmatist: Excited about possibilities but grounded in what actually delivers measurable value
- Mission-driven; systems thinker with bias for action
- Clear, persuasive communicator who can influence executive stakeholders and earn trust through delivery
- Calm under pressure with excellent judgment about when to escalate vs. solve independently
- Able to hold strategic context while driving tactical execution across multiple concurrent engagements
- Intellectually curious with strong learning agility, you stay current on AI capabilities and translate findings into practical applications
- Comfortable operating in ambiguity and creating structure where none exists
Considerations
- Education: Bachelor's degree or equivalent experience; an advanced degree in business, technology, or a related field is a plus
- Ethics: Commitment to ethical practices and responsible AI (transparency, human oversight, privacy, bias mitigation)
- Travel: Regular (20–40%) for client activities, organizational rollouts, and events
- Location: Remote-friendly with preference for candidates in major tech hubs
Compensation
This role offers a competitive base salary with performance-based bonuses and potential equity participation. Final compensation will vary based on experience, performance, and location.
Why Join Human Agency
Join a team of thinkers and builders creating meaningful impact across sectors—with autonomy to lead, the resources to succeed, and room to grow. This role offers the opportunity to shape how organizations integrate AI at scale, with clear pathways to increased leadership responsibility as our practice expands.
Equal Opportunity Commitment
Human Agency is an Equal Opportunity Employer. We value diverse backgrounds and strive to build an inclusive culture where everyone feels welcomed and empowered.
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Senior Fullstack Software Engineer (Nova)
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Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
Position Overview:
We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.
In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.
Responsibilities:
- Build and iterate on the frontend and backend components that power agentic user experiences.
- Collaborate with design and product teams to create intuitive, conversational interaction patterns.
- Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
- Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
- Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
- Write high-quality, well-tested code and help refine engineering standards and best practices.
- Debug production issues, improve observability, and contribute to system reliability.
- Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.
Qualifications:
- 5+ years of experience building full-stack applications in production environments.
- Strong proficiency with TypeScript and experience working across both frontend and backend systems.
- Experience with modern frontend frameworks (React preferred) and backend application development.
- Ability to design clean, maintainable APIs and internal interfaces.
- Strong collaboration skills and comfort working closely with product and design.
- Ability to operate independently, manage ambiguity, and drive work to completion.
- Interest in building intelligent, agent-driven experiences, even without prior LLM experience.
Bonus Points
- Experience contributing to or building internal frameworks or developer tooling.
- Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
- Strong intuition for UI/UX quality in interactive interfaces.
- Experience with observability, performance tuning, or production debugging at scale.
- Experience with event-driven or distributed systems.
- Prior experience working in remote-first engineering environments.
Perks & Benefits:
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
Senior Machine Learning Engineer (Nova)
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Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
Position Overview:
We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.
You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.
Responsibilities:
- Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
- Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
- Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
- Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
- Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
- Prototype applied ML solutions to validate feasibility before investing in full builds.
- Ensure secure, robust handling of data used in ML workflows and retrieval operations.
- Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
- Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.
Qualifications:
- 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
- Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
- Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
- Prior work integrating ML or LLM-powered features into production applications.
- Understanding of ML evaluation techniques, experimentation design, and failure analysis.
- Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
- Strong communication and collaboration skills in a distributed environment.
Bonus Points
- Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
- Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
- Familiarity with event-driven systems or streaming architectures.
- Experience with model observability, performance monitoring, or proactive regression detection.
- Background in personalization, recommendations, or applied NLP.
- Experience working in remote-first engineering teams.
Perks & Benefits:
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable
Manager, Engineering (Nova)
Share this job
Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.
Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has held a top 10 ranking on the Top 25 Companies Where Women Want to Work.
With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!
How you will make an impact:
We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.
In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.
One of our core values is a growth mindset and Iterable is a company where everyone can grow. If this is a role that excites you, please do apply as we value applicants for the skills they bring beyond a job description.
How You Will Make a Difference:
- Lead and support a team of engineers building agentic and AI-enabled product experiences.
- Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
- Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
- Ensure AI-powered features are reliable, observable, secure, and ready for production use.
- Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
- Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
- Coach and mentor engineers, supporting career growth and healthy team dynamics.
- Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
- Contribute to hiring and onboarding as the team grows.
We Are Looking for People Who:
- Have at least 5 years of hands-on software development experience.
- Have at least 3 years of experience managing and growing software engineering teams.
- Strong background in application or platform engineering, ideally in a SaaS environment.
- Experience leading teams that integrate AI or ML-powered capabilities into production systems.
- Comfort operating at the intersection of product, platform, and data science teams.
- Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
- Experience working with modern backend and frontend stacks.
- Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
- Excellent communication skills and ability to align technical work with business and product goals.
Bonus Points:
- Experience leading teams building agentic or LLM-powered product experiences.
- Familiarity with agent frameworks such as Mastra or similar orchestration tools.
- Prior work on decisioning engines, rules engines, or real-time personalization systems.
- Experience collaborating closely with Data Science and ML teams on production integrations.
- Background in marketing technology or customer engagement platforms.
- Experience scaling teams and systems in a remote-first environment.
Perks & Benefits:
- Competitive salaries, meaningful equity, & 401(k) plan
- Medical, dental, vision, & life insurance
- Balance Days (additional paid holidays)
- Fertility & Adoption Assistance
- Paid Sabbatical
- Flexible PTO
- Monthly Employee Wellness allowance
- Monthly Professional Development allowance
- Pre-tax commuter benefits
- Complete laptop workstation
The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.
Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.
Recruitment Disclaimer:
Please be aware that Iterable, Inc. (“Iterable”) and our official professional recruiting agencies and platforms do not:
- Send job offers from free email services like Gmail, Yahoo mail, Hotmail, etc.
- Request money, fees, or payment of any kind from prospective candidates to apply to Iterable, for employment, or for the recruitment process (e.g. for home office supplies, or training, etc.).
- Request or require personal documents like bank account details, tax forms, or credit card information as part of the recruitment process prior to the candidate signing an engagement letter or an employment contract with Iterable.
You may see all job vacancies on our official Iterable channels:
- Official Iterable website, Careers page: https://iterable.com/careers/
- Official LinkedIn Jobs page: https://www.linkedin.com/company/iterable/jobs/
Iterable is not affiliated in any way to these impostors and we hereby confirm that such individuals/entities are not authorized, encouraged, or sponsored to act on behalf of Iterable. Such job opportunities are entirely fake and not valid. Therefore, please disregard any written or oral request for a job offer or an interview that you believe is or might be fraudulent or suspicious and immediately reach out to us via email at talent-ops@iterable.com upon receiving a suspicious job offer.
Criminal and/or civil liabilities may arise from such actions, and Iterable expressly reserves the right to take legal action, including criminal action, against such individuals/entities whenever such phenomena occur. In any case, please note that under no circumstances shall Iterable and any of its affiliates be held liable or responsible for any claims, losses, damages, expenses or other inconvenience resulting from or in any way connected to the actions of these impostors.
Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.
Ready to apply?
Apply to Iterable