The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a South East territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

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. 

.

PagerDuty is seeking a Full-Stack Software Engineer to join our diverse and customer-focused team! 

In this role, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams. This is an exciting opportunity as you’ll help us realize the long term vision for the product to build flexible and extensible scheduling capabilities powered by AI-native foundations. You’ll architect and build a suite of highly available services, scalable databases and reliable data streams while pioneering agentic development practices that leverage AI as a first-class engineering partner.  You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers.  The ideal candidate will have full stack experience with Java, and React and be responsible for promoting engineering excellence principles with our design, dev, test and release cycles.

Why we need you

The Mobilization Team is looking for a passionate software engineer to help us build the future of Schedules for the Operations Cloud. As an engineer on the team, you’ll be working on our scheduling platform which is a core piece of our business to help organizations distribute on-call responsibilities across their teams.  You’ll help us realize the long term vision for the product to build innovative, flexible and extensible scheduling capabilities by architecting and building AI-native foundations (a suite of highly available services, scalable databases and reliable data streams accessed via an agentic framework).  You will also have plenty of opportunities to partner with the product and design teams on shaping new products and features for our customers. You’ll also be responsible for promoting engineering excellence principles with our AI-first design, dev, test and release cycles.

Key Responsibilities

• From day one, you’ll be designing, coding, testing and shipping backend applications or micro-services, APIs or front-end interfaces that ensure we deliver secure, highly reliable and scalable solutions to our customers.
• Since we own and operate what we build, you’ll collaborate closely with engineers across teams.
• With 20,000+ global customers and growing, you’ll be solving really interesting technical challenges while helping to scale our product to keep up with demand.
• Participating in your team’s on-call rotation, triaging and addressing production issues as they arise.

Basic  Qualifications 

• Minimum of 4 years of experience designing, building, and operating large systems with scalability, availability, and performance requirements.
• Development experience working on customer-facing and web-based systems.
• Demonstrated experience with Java/ Python, React, AI coding tools
• You have built or worked on a customer-facing product

Preferred Qualifications

• You have operational experience in a cloud technologies such as AWS
• You have operational experience with databases & tools (e.g. MySQL, Aurora, Kafka, NoSQL, applying software engineering principles to data problems, etc.)
• Experience building user-facing public APIs
• You’ve had experience designing & implementing distributed and highly available systems

The base salary range for this position is 113,000 - 190,300 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.

Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.

Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.

**This role is expected to come into our Atlanta office 2 days a week, so you can thrive in your new role and fully embrace being a Dutonian!**

Machine Learning Engineer – Inspire11

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 

• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

 What you can expect in this role: 

• Designing scalable machine learning infrastructure, including implementing CI/CD pipelines for model deployment
• Monitoring models in production
• Developing Generative AI solutions
• Ensuring security and compliance
• Preprocessing and analyzing datasets
• Developing and fine-tuning ML models to optimize for performance
• Communicating results to stakeholders 

Tools for success: 

• Exhibit strong software engineering principles
• Proficiency in cloud architecture (AWS, Azure, GCP)
• Familiarity with CI/CD and DevOps
• Expertise in data preprocessing and ML techniques
• Experience with model evaluation and libraries like TensorFlow, PyTorch
• Proven experience in ML engineering
• Strong programming skills (Python, R)
• Cloud services and infrastructure knowledge
• Agile methodologies understanding 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner.  

About the Company:

Stable Kernel is a technology services firm and custom software developer building scalable software solutions for cutting-edge, innovative enterprises to move their business forward. We are headquartered in Atlanta, GA.

We’re a privately held, Great Place to Work Certified Company™ with a multi-award-winning culture and an impressive 10-plus-year trajectory of sustainable growth. At Stable Kernel, we support our employees in ways that help them do some of the best work of their lives.

About the Role:

As a Stable Kernel Principal Software Engineer, you play an essential role in setting our portfolio of world-class clients up for success through the development and delivery of their most innovative, transformational initiatives. You will collaborate daily with other engineers and product team members, make decisions that influence the path of a product roadmap, leverage software development best practices, and become a more well-rounded engineer as you learn new technologies. Your knowledgeable practice, reliability, and consultative nature make you an engineer that stakeholders and teammates trust.

Principal Software Engineers may be classified as individual contributors or people managers with individual contributor responsibilities.

Core Responsibilities Include:

• Technical Impact: 
• Designing and implementing exemplary solutions regarding scalability and cost-effectiveness by making trade-offs between opportunity and complexity.
• Setting standards for codebase health and promoting best practices throughout the organization. 
• Business Alignment: 
• Clarifying strategic outcomes and influencing roadmaps and projects.
• Identifying, suggesting, and driving improvements in your customers' end-to-end experience.
• Aiding in estimating work for new business with more unknowns and coaching others in estimation best practices. 
• Interacting with Others: 
• Coordinating across the entire company.
• Influencing the entire organization to make changes to support your work.
• Advising teams across the company.
• Autonomy & Ambiguity: 
• Designing a long-term roadmap with no direction. 
• Translating customer and business needs and strategic direction into projects and consistently simplifying high-complexity situations.
• Coaching and mentoring others in tackling ambiguity.
• Problem-Solving:
• Decomposing strategic direction into projects:
•  Planning, communicating, and executing to solve our most challenging problems.
• Ensuring alignment with long-term objectives, fostering a culture of informed decision-making and innovation.
• Anticipating most risks and driving simplification to mitigate risks ahead of time. 
• Escalating issues while solving them in parallel ensuring others are informed.
• Leadership:
• Proposing new organization-level processes to improve key areas such as team throughput, employee happiness, or product engagement.
• Driving best practices across the organization.
• Exhibiting exceptional mentoring abilities and fostering a culture of continuous learning and improvement by
• identifying and nurturing potential in others 
• providing strategic guidance
• helping develop career paths for team members 
• Leading projects.
• Setting the strategic direction for projects or areas of technology, leading multiple project teams, and influencing decision-making at higher organizational levels. 
• Exhibiting strong capabilities in stakeholder management, negotiating, and problem-solving in complex scenarios. 
• Mentoring and developing other leaders within the team, fostering a culture of innovation, and contributing significantly to organizational goals.

Intimate, Working Familiarity With:

• Polyglot: Extensive experience with a wide variety of both frontend and backend languages, and ability to learn new ones with ease. Current stack consists of Typescript, Golang, React and React Native.
• Agentic Development: Has intimate working knowledge of current agentic practices, keeps ahead of the curve of agentic development. This includes but is not limited to Claude Code, OpenCode, Spec-driven-development, and agent orchestrators. 

• AWS: Drive cloud architecture strategy on AWS, building secure, scalable, and cost-optimized systems with services such as ECS/Lambda, API Gateway, DynamoDB, RDS/Postgres, S3, CloudWatch, KMS, and IAM; guide teams in adopting cloud-native patterns and operational excellence.
• Pulumi/Terraform & IaC: Experience driving infrastructure strategy and automation using Pulumi or Terraform, embedding Infrastructure as Code into development workflows and enabling secure, scalable cloud environments.
• Vector databases (e.g., pg_vector) for similarity search and AI/ML-powered applications.
• Deploying, managing, and scaling containerized applications securely and reliably using Kubernetes.

General Requirements:

• 10+ years of experience delivering and evolving production systems across diverse technical stacks, platforms, and architectures.
• Extensive experience serving as a trusted consultant to stakeholders and cross-functional teams, providing expert guidance on backend service design, delivery, and integration.
• Degree in Computer Science or relevant field or experience. 

Nice To Have:

• Familiarity with Go for building performant, scalable backend services in production environments.

A Bit More Info:

Minimum Base Compensation: $170,000

This is a full-time position.

Stable Kernel operates a People Before Place Hybrid model, allowing most employees to choose where they can do their best work most days.

Minimal travel is associated with this role.

Our generous total compensation package includes:

• Company-subsidized health, vision, and dental plan premium options beginning on the first day of employment
• 401k with above-average company matching 
• Fully paid Group Life, Short and Long Term Disability, and AD&D insurance
• Optional Flexible Spending Account and Health Savings Account participation
• Voluntary Life, Critical Illness, and Accident insurance
• EAP and Health Advocacy program available at no cost to employees and their dependents
• $3000+ annual industry educational budget 
• Paid time off and paid holidays Access to Perks at Work program featuring a variety of discounted products and services

*Note – We are not sponsoring employment visas at this time. If you are currently in possession of an employment visa, it will need to be effective for at least 3 years from the date of your application for your candidacy for employment to be considered.

Stable Kernel’s culture is inclusive and expansive. We celebrate diversity in its many glorious forms and do not discriminate based on race, religion, color, national origin, gender role orientation, sexual orientation, age, marital status, veteran status, or disability status.

However, we will discriminate against those unwilling to comply with the practice of our company values:

• we work with integrity always
• we respect our work and each other
• we are dedicated to life-long learning and sharing
• we stay hungry for new challenges

If you are like-minded in this regard, we hope you will apply. We look forward to meeting you.

About AI Security at Cato Networks

Cato’s AI Security capabilities extend the Cato SASE platform into the AI and SaaS layers, enabling enterprises to securely adopt and govern AI-powered applications and services. AI Security provides real-time visibility, control, and protection across AI-enabled SaaS platforms by addressing modern threats such as identity abuse, data leakage, misconfigurations, insider risk, and unauthorized AI usage. 

By integrating AI Security natively into the Cato SASE Cloud, Cato delivers a unified platform that protects users, networks, SaaS applications, and AI services from a single, globally distributed security architecture.

Role Overview

We are looking for a Channel Sales Engineer to serve as a technical resource for Cato Networks’ Channel organization, acting as an overlay specialist focused on AI Security.

In this role, you will manage the technical evaluation process with channel partners, working with the Cato Channel team as the primary technical contact and product advocate for Cato’s AI Security solutions.

The evaluation process includes technical discussions, product demonstrations, Proof of Concept execution, and partner education. You will engage with technical and business stakeholders and play a key role across the partner lifecycle.

Responsibilities

• Validate Cato’s AI Security solutions for prospects and partners.

• Develop and deliver product demonstrations and technical presentations.

• Present solutions to customers and at field events such as conferences and seminars.

• Address functional and technical elements of RFIs and RFPs.

• Serve as a technical advisor to channel partners during evaluations and deployments.

• Communicate feedback, feature requests, and technical insights to Product Management.

• Stay current on AI security trends, emerging technologies, and market alternatives.

• Travel throughout assigned sales territory as required.

Requirements

• 4+ years of experience as a Sales Engineer, Solutions Architect, or technical pre-sales professional.

• Experience selling or assisting with Cybersecurity SaaS solutions, preferably in enterprise or partner-based environments.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• Technical background with experience in several of the following areas:

  • SaaS platforms and APIs

  • AI / Machine Learning concepts and risks

  • REST APIs and integrations

  • SSO, IAM, and identity-based security

  • SIEM and security insights

  • Cloud platforms such as AWS, Azure, or GCP

  • Kubernetes and modern cloud architectures

• Presentation and written communication skills.

• Organized, thoughtful, and adaptable problem-solver.

• Startup experience preferred; comfortable operating in fast-paced environments with limited formal processes.

Role Overview

We are looking for a Sr. DevOps Engineer to help build, operate, and continuously improve the secure cloud platforms that power Juvare’s mission-critical enterprise resilience solutions. In this role, you’ll partner across Engineering and Security to deliver reliable, scalable SaaS environments for commercial and federal customers, with a proven track record operating in regulated settings. Experience supporting AI/MLOps workflows is a plus.

Location

• Atlanta / Remote

Must Have

• Cloud Platforms: Strong hands-on experience with AWS and Azure
• Regulated Environments: Experience operating in FedRAMP High, DoD Impact Level 5 (IL5), or equivalent regulated environments
• Compliance & ConMon: Strong understanding of Authority to Operate (ATO) processes, compliance, and continuous monitoring (ConMon)
• GovCloud: Experience working within AWS GovCloud or secure boundary environments
• Databases: Operational experience with managed databases (backup/restore, replication, performance, and access management; Azure SQL and Aurora PostgreSQL preferred)
• Infrastructure as Code: Experience with infrastructure as code (Terraform)
• CI/CD Pipelines: CI/CD pipeline experience (GitLab, GitHub)
• Automation (AI-Enabled): Experience building workflow automation and developer automation using tools like n8n, Replit, or similar
• Containers & Orchestration: Strong experience with containers and orchestration (Docker, Kubernetes, AKS, EKS, ECS/Fargate)
• Monitoring & Observability: Experience with monitoring and observability (Datadog, CloudWatch)
• Security Tooling: Exposure to security tooling (WAF, SIEM, vulnerability management)
• Scripting: Strong scripting skills (Python, Bash, Powershell)
• Production Operations: Experience in production operations (incident response, on-call, RCA)
• Architecture: Strong understanding of networking, security, and system architecture
• AI / MLOps:
  • MLOps Pipelines: Experience with MLOps pipelines (training, deployment, monitoring)
  • Tools: Familiarity with tools like SageMaker, MLflow, Kubeflow, or similar
  • Model Deployment: Experience deploying models to production (real-time or batch)
  • Data & Lifecycle: Understanding of data pipelines and model lifecycle management

Nice to Have

• Experience with LLMs / GenAI workflows (RAG, prompt engineering, fine-tuning)
• Familiarity with vector databases (Pinecone, Weaviate, OpenSearch)
• Exposure to AIOps or AI-driven automation
• Experience with data platforms (Databricks, Snowflake, Redshift)
• GCP experience a plus; comfort operating with a cloud-agnostic mindset
• Multi-cloud or hybrid architecture experience
• Cost optimization and performance tuning
• Jira / Confluence experience

What We're Looking For

• Ownership Mindset: Strong sense of ownership in regulated, high-stakes environments — you treat the platform like it's yours
• Compliance + Speed: Ability to balance compliance, security, and delivery speed without sacrificing one for the other
• Cross-Team Collaboration: Comfortable working across SysOps, Engineering, and Security teams — you're a bridge, not a silo

Additional Information:

This position requires access to information that is controlled by the Export Administration Regulations (“EAR”).  A candidate must qualify as a “U.S. Person” or be otherwise eligible to access EAR covered materials through an EAR exception or license.  A "U.S. Person" as defined by the EAR includes a U.S. Citizen, U.S. national, lawful permanent resident, refugee, or asylee.

As the Company is a partner with the United States government, this position may require access to sensitive government information. Accordingly, candidates must be capable of passing an SF-85 background check and obtaining public trust clearance if required.

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 THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Robotics Software Engineer on our TRS team, you'll be at the forefront of cutting-edge autonomous systems development. You'll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success. Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems. Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your "Whatever It Takes" mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work. This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

WHAT YOU'LL DO

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms
• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius
• Optimize performance of existing products, primarily focused on our Altius Drone product line
• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs
• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
• Contribute to the design and implementation of multi-agent coordination systems for UAVs
• Participate in the full software development lifecycle, from concept and design through testing and deployment
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

REQUIRED QUALIFICATIONS

• Bachelor's degree in Robotics, Computer Science, or related field
• 7+ years of professional software development experience
• Strong proficiency in C++ or Rust, with experience in Linux development environments
• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization
• Proven experience troubleshooting and analyzing remotely deployed software systems
• Hands-on experience working with and testing electrical and mechanical systems
• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing
• Strong problem-solving skills and a "Whatever It Takes" mindset
• Excellent communication skills, both written and verbal
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness to relocate to Atlanta, GA 

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)
• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls
• Experience with performance optimization and metrics for complex robotic systems
• Proficiency in Python, Rust, and/or Go, in addition to C++
• Hands-on experience programming for embedded systems and physical devices
• Background in multi-agent coordination, particularly with UAVs
• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)
• Experience with real-time operating systems and distributed computing
• Familiarity with machine learning and AI applications in robotics
• Knowledge of sensor fusion techniques and implementation
• Understanding of aerodynamics and flight dynamics as applied to UAV systems
• Experience with simulation environments for robotics testing and development
• Track record of contributions to open-source robotics projects or relevant publications

ABOUT THE TEAM

We are seeking an experienced System Safety Engineer to join our rapidly growing team in Atlanta, GA in support of our Altius product line. Altius is a versatile platform designed to provide on-demand capability that can be launched from ground, air, or sea to conduct a variety of mission types. We work closely with our broader Engineering team to ensure these cutting-edge systems are safe and effective for development, testing, and deployment in complex operational environments.

As a System Safety Engineer at Anduril, you will leverage your extensive knowledge of advanced Reliability & System Safety tools and methodologies to drive excellence in our safety processes. You will support the Reliability Engineering, Systems Engineering, and Hardware & Software development teams across the product development lifecycle by guiding Functional Hazard Analysis, Fault Trees, System Safety Assessments, and Hazard Management and Hazard Mitigation activities for your product(s). The right person for this role has knowledge of design and development with a safety focus on sUAS, as well as exposure to test, analysis, manufacturing, and continuous improvement in a production environment. If you are someone who has hands-on experience throughout the new product development life cycle from concept to customer delivery, loves to build world-class Reliability and Safety processes, can work efficiently across multi disciplinary teams, and be accountable for results, then this role is for you.

WHAT YOU'LL DO

REQUIRED QUALIFICATIONS

PREFERRED QUALIFICATIONS

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Systems Engineer at Anduril, you will be a pivotal force in the Tactical Recon & Strike division, working on cutting-edge products like Altius, Anvil, Bolt, and Ghost. This role demands a proactive problem-solver with a strong background in electrical engineering, systems engineering principles and safety-critical development. You will drive the technical direction, ensure robust product design, and guide cross-functional teams to deliver critical capabilities that empower our mission. If you thrive in a fast-paced environment and are passionate about building revolutionary defense technology from the ground up, we encourage you to apply.

WHAT YOU'LL DO

• Define systems engineering strategies in the Tactical Recon & Strike Division to drive requirements and verification for core Anduril Products Altius, Anvil, Bolt, and Ghost.
• Design, develop, and implement automated system-level integration tests on SITL, HITL and hybrid testbeds coupled to simulation environments, followed by flight testing to ensure robust validation of system functionality and performance.
• Define and devise testing strategies using appropriate testing modalities for system and software requirements.
• Autonomously execute on broad and/or ambiguous requirements from internal engineering, program office, and third-party corporate partners to own successful delivery of outcomes on multiple programs simultaneously.
• Coordinate and execute frequent test events involving various levels of software and hardware, from in-lab full-software simulations to full hardware-in-the-loop demonstrations at test sites.
• Define a strategy to comply with appropriate industry standards, e.g., NATO UAV and MIL-STD-882E.
• Demonstrate high ownership on all pieces of work; become a trusted partner to Anduril’s software engineers.
• Ensure that the organization’s technical roadmap is well understood and that programs and staffing are aligned with the roadmap.
• Manage, unblock, and accelerate cross-team projects spanning multiple functional teams and cross-functional initiatives.
• Identify and resolve systemic execution issues across the team or group that require broader initiatives to resolve.
• Identify, resolve, and escalate key cross team dependencies.
• Support leads with quarterly and ongoing staffing plans across the organization, particularly where difficult prioritization conflicts exist.
• Collaborate closely with other partner teams, such as hardware, product, and test operations as needed.
• Understand technical implementation at the architectural level and propose technical alternatives when necessary; ask questions that clarify priorities.

REQUIRED QUALIFICATIONS

• 5+ years experience with programming languages, such as Python, C++, or Rust, for analysis and simulation, while also being familiar with modern software development practices and designs, unit testing, integration test, and release processes
• Degree in Engineering, Aerospace Engineering, Computer Science, Robotics, or a related field
• Experience in safety-critical industry, particularly with safety-critical software development standards, software safety fault/hazard analysis, and requirements-driven software verification and validation strategies
• Experience with cloud infrastructure platforms (e.g., AWS, Azure, Google Cloud) for software deployment and scalability.
• Demonstrated proficiency in the application of engineering standards into engineering processes or requirements, with the ability to take ambiguous, high-level problems and translate them into actionable engineering processes, detailed requirements, and comprehensive verification and validation (V&V) plans to ensure robust and reliable system performance.
• Experience writing testable system-level and software-level requirements
• Proficiency in large-scale data modeling, data analysis, and visualization, including experience with tools such as Palantir Foundry, Tableau, AFSIM or similar platforms.
• Skilled in Statistics and AI/ML
• Excellent communication and presentation skills
• Must be willing to travel for test field events up to 25%
• Eligible to obtain and maintain an active U.S. security clearance

PREFERRED QUALIFICATIONS

• Experience with sensor modeling, simulation, and analysis to support system design and performance evaluation.
• Experience in building programs for software deliverables from ground up
• Ability to work within organizations with minimal structure and with minimal direction
• Experience in rolling out potentially disruptive organizational process changes
• Experience with creating communication plans for various levels of stakeholders
• Excellent written and verbal communication skills.
• Strong technical, analytical and quantitative skills with the ability to use data and metrics to back up assumptions, recommendations and drive decisions
• Experience with tools like JIRA and Confluence
• Bachelor’s Degree in Computer Science or an Engineering discipline
• Active clearance status

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Robotics Software Engineer on our TRS team, you'll be at the forefront of cutting-edge autonomous systems development. You'll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success. Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems. Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your "Whatever It Takes" mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work. This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

WHAT YOU'LL DO

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms
• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius
• Optimize performance of existing products, primarily focused on our Altius Drone product line
• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs
• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
• Contribute to the design and implementation of multi-agent coordination systems for UAVs
• Participate in the full software development lifecycle, from concept and design through testing and deployment
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

REQUIRED QUALIFICATIONS

• Bachelor's degree in Robotics, Computer Science, or related field
• 3+ years of professional software development experience
• Strong proficiency in C++ or Rust, with experience in Linux development environments
• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization
• Proven experience troubleshooting and analyzing remotely deployed software systems
• Hands-on experience working with and testing electrical and mechanical systems
• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing
• Strong problem-solving skills and a "Whatever It Takes" mindset
• Excellent communication skills, both written and verbal
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness to relocate to Atlanta, GA 

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)
• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls
• Experience with performance optimization and metrics for complex robotic systems
• Proficiency in Python, Rust, and/or Go, in addition to C++
• Hands-on experience programming for embedded systems and physical devices
• Background in multi-agent coordination, particularly with UAVs
• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)
• Experience with real-time operating systems and distributed computing
• Familiarity with machine learning and AI applications in robotics
• Knowledge of sensor fusion techniques and implementation
• Understanding of aerodynamics and flight dynamics as applied to UAV systems
• Experience with simulation environments for robotics testing and development
• Track record of contributions to open-source robotics projects or relevant publications

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

The Mission Operations team is responsible for managing the execution, growth, and success of our client accounts. Working across product, engineering, sales, and logistics teams, our Mission Operations Engineers own the client relationships and develop, plan, and deploy Anduril products in support of their missions. They work side-by-side with clients to understand their specific problem sets and then shape Anduril's offerings alongside our engineering teams to fit the mission needs. Because the problems we solve are uniquely challenging, our Mission Operations Engineers naturally gravitate toward finding solutions and are adept at navigating organizational hurdles. They are ultimately responsible for client and mission success and therefore play a critical role in the shaping and future of Anduril Industries

• Serve as a customer-facing Account Manager. This position is in-office and will be located in Atlanta, GA, but will require nationwide and international travel to service and manage forward deployed accounts (up to 75% travel). You will be working directly with a key strategic partners to develop and deploy Anduril’s ALTIUS UAS and other TRS products and to meet customer and operational needs. You will own the execution of contract deliverables to include developing and implementing measures of performance and effectiveness, writing technical reports, and creating user engagement roadmaps.
• Support engagement with all service components of the US DOD, local government organizations, and other partner nation’s defense forces as required to integrate Anduril products laterally for increased adoption.
• Orchestrate the deployment of Anduril products. Lead the planning and deployment of Anduril’s flagship products in support of client missions. Through collaboration with our engineering, logistics, and technical operations teams, Mission Operators are in charge of deploying our products to the field, training end users, and ensuring the high performance of our products. We are obsessed about engagement and keeping our finger on the pulse of how clients interact with our products. This helps us improve the user experience and evolve their operational tactics and techniques. If something isn’t quite right, we work with product teams to quickly address the issue on behalf of our client.
• Grow your business through client success. In addition to the operational and executive relationships you own, you will be responsible for meeting commercial targets that drive top line growth. This requires establishing committed and trust-based partnerships with our clients to not only help them solve their immediate problems, but also to foresee future opportunities where Anduril's technology can make them more effective. Understanding Anduril's value proposition and articulating how we can have an impact on a client’s problem set, from the executive level to the end user, is critical to positioning Anduril for the future.
• Shape our products to meet mission needs. Work side-by-side with our clients to understand their specific mission challenges and represent the client as you work with Anduril engineers to shape products that solve critical national and international security challenges. Engineers rely on Mission Operators to understand the lay of the land and bring a perspective that informs the product development process.
• Collaborate across nearly every Anduril. Successfully deploying our complex hardware and software products requires collaborating with nearly every internal team - engineering, product, logistics, finance, legal, contracting, technical operations, and many more. You’ll be responsible for ensuring each party is engaged and informed, and will therefore become well-versed in what it takes to really bring the best of our products to our clients.
• Translate customer requirements and technical information in support of program contract deliverables and development of Anduril products to meet customer operational needs. Essentially, you will ensure the end user’s needs are incorporated and represented in the design and function of our products.

WHAT YOU'LL NEED

• Mission First Mindset. We put the needs of the mission and our clients first and understand that the US and its allies have no preordained right to victory in any future conflict. We actively seek out opportunities to better understand our clients’ mission needs, with a goal to build the best possible products for the warfighter and radically evolve our national and international defense capabilities. We push ourselves and the limits of our capabilities in the pursuit of this goal.
• Ownership Mentality. We’re looking for owners; those who have a natural bias to assume responsibility, a healthy dose of skepticism, and contribute to a culture of performance. We empower our Mission Operators to quickly assume high levels of responsibility and entrust them to actively own their account and shape its success. Our Mission Operators are just as comfortable helping to shape a proposal or pitch a new client as they are working with engineers on new features or deploying products in the field.
• Technical Aptitude and Intellectual Curiosity. We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal sensor fusion. Do you have a natural desire to see beyond simple cause and effect relationships to really understand how complex systems operate? Do you actively seek out opportunities to educate yourself? These capabilities form the foundation of our product offerings, so we are looking for those who are comfortable communicating technical concepts and can articulate them in the context of the client’s mission.
• Structured Thinker and Problem Solver. Leading technical programs requires clear communication and well thought-out plans. We are looking for assertive communicators who bring a thoughtful perspective and honest dialogue. A solution-driven approach, the ability to distill complexity into its essential, digestible components, and the ability to supervise execution are critical to ensure mission success.
• High Value Team Member. Do you enjoy working as part of a team? At Anduril, the path to success weaves through the organization - account teams, engineering, logistics, technical operations, and more. It requires humility, an eagerness to learn, and empathy toward your fellow team member. We assume best intentions and empathize with clients just as we do with our colleagues. Can you develop rapport at both the user and executive levels? Do you enjoy sharing successes? We are a low ego group that promotes teamwork and collaboration to bring about success.
• 360 Degree Leader. We are a flat, non-hierarchical organization with a matrix structure that is dynamic and evolving. We expect you to be self-aware enough to recognize your position of unstated leadership within the company. You should have a demonstrated ability to lead and influence people through both formal and informal constructs and in situations where there is lack of clarity across teams. Finally, we need people who identify gaps and breakdowns and solve them immediately, rather than point them out and step back. You should also seek 360 feedback to help inform your growth trajectory as a leader.

QUALIFICATIONS

• Experience with programming, scripting, or networking a plus
• Prior military or contracting experience can be helpful
• PMP or similar certifications a plus
• Travel up to 75%
• US Person Status is required, as this position needs to access export-controlled data.

PREFERRED QUALIFICATIONS

• Experience and familiarity with US defense posture and policy
• Direct experience leading and developing military operational planning, targeting, and fires systems and workflows
• Working level understanding of NATO and our ally’s defense and national security policy, budgeting process, public-private partnerships
• Familiarity with or direct experience working in partnership with host nation’s defense forces, Joint Staff, and Ministry of Defense and understanding of their respective organizational structures and interests
• Familiarity with doctrinal, functional, and technical command and control concepts, processes, and principles
• Prior military or government acquisition and/or government contracting experience

ABOUT THE TEAM

Anduril’s Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods—delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio—from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment.

ABOUT THE JOB

As a Lead Robotics Software Engineer on our TRS team, you'll be at the forefront of cutting-edge autonomous systems development. You'll tackle diverse challenges in autonomy, systems integration, robotics, and networking, making critical engineering decisions that directly impact mission success. Your role will be pivotal in ensuring Anduril's products work seamlessly together to achieve a variety of crucial outcomes. You'll develop innovative solutions for complex robotics problems, balance pragmatic engineering trade-offs with mission-critical requirements, and collaborate across teams to integrate software with hardware systems. Contributing to the entire product lifecycle, from concept to deployment, you'll rapidly prototype and iterate on software solutions. We're looking for someone who thrives in a fast-paced environment and isn't afraid to tackle ambiguous problems. Your "Whatever It Takes" mindset will be key in executing tasks efficiently, scalably, and pragmatically, always keeping the mission at the forefront of your work. This role offers the opportunity to make a significant impact on next-generation defense technology, working with state-of-the-art robotics and autonomous systems. You'll be part of a team that values innovation, quick iteration, and delivering high-quality solutions that meet real-world needs.

Must be eligible to obtain and maintain an active U.S. Secret security clearance. This position will be located at our office in Atlanta, GA (relocation benefits provided.)

WHAT YOU'LL DO

• Develop and maintain core robotics libraries, including frame transformations, targeting, and guidance systems, that will be utilized across all Anduril robotics platforms
• Lead the development and implementation of major features for our products, such as designing and building Software-in-the-Loop simulators for advanced systems like Altius
• Lead and mentor a group software engineers to help drive team success and to successfully hit tight project deadlines
• Optimize performance of existing products, primarily focused on our Altius Drone product line
• Collaborate closely with hardware and manufacturing teams throughout the product development lifecycle, providing timely feedback to influence and enhance final hardware designs
• Troubleshoot and resolve complex issues in deployed systems, ensuring optimal performance in the field
• Contribute to the design and implementation of multi-agent coordination systems for UAVs
• Participate in the full software development lifecycle, from concept and design through testing and deployment
• Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes

REQUIRED QUALIFICATIONS

• Bachelor's degree in Robotics, Computer Science, or related field
• 7+ years of professional software development experience
• Experience as a lead of a small software engineering team
• Strong proficiency in C++ or Rust, with experience in Linux development environments
• Demonstrated expertise in data structures, algorithms, concurrency, and code optimization
• Proven experience troubleshooting and analyzing remotely deployed software systems
• Hands-on experience working with and testing electrical and mechanical systems
• Ability to collaborate effectively with cross-functional teams, including hardware and manufacturing
• Strong problem-solving skills and a "Whatever It Takes" mindset
• Excellent communication skills, both written and verbal
• Eligible to obtain and maintain an active U.S. Secret security clearance
• Willingness to relocate to Atlanta, GA 

PREFERRED QUALIFICATIONS

• Master's or Ph.D. in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering)
• Expertise in one or more advanced robotics areas: motion planning, perception, localization, mapping, or controls
• Experience with performance optimization and metrics for complex robotic systems
• Proficiency in Python, Rust, and/or Go, in addition to C++
• Hands-on experience programming for embedded systems and physical devices
• Background in multi-agent coordination, particularly with UAVs
• Demonstrated ability to solve complex frame transformation problems (e.g., target localization, multi-degree-of-freedom robotic arms)
• Experience with real-time operating systems and distributed computing
• Familiarity with machine learning and AI applications in robotics
• Knowledge of sensor fusion techniques and implementation
• Understanding of aerodynamics and flight dynamics as applied to UAV systems
• Experience with simulation environments for robotics testing and development
• Track record of contributions to open-source robotics projects or relevant publications

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Staff Observability Engineer to design, build, and mature the observability ecosystem that underpins our platform and services. You will deliver deep visibility into system behavior by combining system telemetry with user signals to provide a holistic view of performance, reliability, and user experience. You’ll also explore how AI and machine learning can enhance observability, from intelligent alerting and anomaly detection to accelerating root cause analysis.

This is a hands-on role. You’ll partner closely with engineering and product teams to deliver scalable observability capabilities, serve as a subject matter expert in monitoring, alerting, and incident management, and equip teams with self-service insights and tooling. By connecting system behavior to real user impact and leveraging AI-assisted workflows to surface issues faster, you’ll drive improvements in reliability, performance, and data-informed decision-making across the organization.

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

• Contribute in defining and driving the observability strategy and roadmap across multiple teams, aligning with business priorities and engineering goals.
• Design and improve scalable observability capabilities that provide actionable insights into system health, performance, and user experience.
• Establish and standardize best practices for monitoring, alerting, incident management, and postmortems across the organization.
• Drive operational excellence by evolving incident management, on-call practices, and post-incident learning, ensuring systemic improvements over local fixes.
• Lead cross-team initiatives to improve end-to-end reliability, identifying systemic risks and driving their resolution.
• Leverage automation and AI-assisted workflows to accelerate root cause analysis and reduce operational toil at scale.
• Partner with engineering and product leadership to translate observability insights into strategic roadmap decisions.
• Identify trends across system and user signals to proactively detect, prevent, and mitigate large-scale issues.
• Optimize observability platforms for cost, scalability, and long-term sustainability.
• Mentor engineers and raise the reliability and observability maturity across the organization.
• In addition to the responsibilities outlined above, employees may be required to perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.

A Sneak Peek Into Our Tech Stack

AWS, Kubernetes, Terraform, Helm, Ansible, Vault, Datadog and PagerDuty

THE STATS
What we're looking for in our next teammate

• Significant hands-on experience in observability engineering, SRE, platform engineering, or related roles, with a track record of driving impact beyond individual teams.
• Strong expertise in monitoring and observability, with significant hands-on experience in Datadog.
• Experience defining and driving observability or reliability strategy across teams or domains.
• Proficiency with Kubernetes, cloud infrastructure (AWS), and infrastructure-as-code tools (Terraform).
• Proven ability to influence technical direction and decision-making across multiple teams and stakeholders.
• Deep understanding of distributed systems principles (e.g. consistency, availability, partition tolerance) and their real-world trade-offs.
• Experience defining and implementing SLOs, SLIs, and alerting strategies, including user-centric and business-aligned metrics.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language (e.g. Go, Java, Python, or TypeScript), and the ability to design scalable systems, build tooling and automation, and operate effectively within large, complex codebases.
• Experience driving large-scale improvements through automation, reducing organizational toil, and eliminating classes of recurring issues.
• Strong analytical skills, with the ability to translate technical signals into business and customer impact.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
• A mindset of ownership, with a focus on long-term impact, scalability, and continuous improvement.

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 $170,000 - $213,000 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.

#LI-Hybrid

THE POSITION
Our roster has an opening with your name on it

FanDuel is looking for a Staff Observability Engineer to design, build, and mature the observability ecosystem that underpins our platform and services. You will deliver deep visibility into system behavior by combining system telemetry with user signals to provide a holistic view of performance, reliability, and user experience. You’ll also explore how AI and machine learning can enhance observability, from intelligent alerting and anomaly detection to accelerating root cause analysis.

This is a hands-on role. You’ll partner closely with engineering and product teams to deliver scalable observability capabilities, serve as a subject matter expert in monitoring, alerting, and incident management, and equip teams with self-service insights and tooling. By connecting system behavior to real user impact and leveraging AI-assisted workflows to surface issues faster, you’ll drive improvements in reliability, performance, and data-informed decision-making across the organization.

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

• Contribute in defining and driving the observability strategy and roadmap across multiple teams, aligning with business priorities and engineering goals.
• Design and improve scalable observability capabilities that provide actionable insights into system health, performance, and user experience.
• Establish and standardize best practices for monitoring, alerting, incident management, and postmortems across the organization.
• Drive operational excellence by evolving incident management, on-call practices, and post-incident learning, ensuring systemic improvements over local fixes.
• Lead cross-team initiatives to improve end-to-end reliability, identifying systemic risks and driving their resolution.
• Leverage automation and AI-assisted workflows to accelerate root cause analysis and reduce operational toil at scale.
• Partner with engineering and product leadership to translate observability insights into strategic roadmap decisions.
• Identify trends across system and user signals to proactively detect, prevent, and mitigate large-scale issues.
• Optimize observability platforms for cost, scalability, and long-term sustainability.
• Mentor engineers and raise the reliability and observability maturity across the organization.
• In addition to the responsibilities outlined above, employees may be required to perform other duties as assigned by the Company to ensure operational flexibility and meet evolving business needs.

A Sneak Peek Into Our Tech Stack

AWS, Kubernetes, Terraform, Helm, Ansible, Vault, Datadog and PagerDuty

THE STATS
What we're looking for in our next teammate

• Significant hands-on experience in observability engineering, SRE, platform engineering, or related roles, with a track record of driving impact beyond individual teams.
• Strong expertise in monitoring and observability, with significant hands-on experience in Datadog.
• Experience defining and driving observability or reliability strategy across teams or domains.
• Proficiency with Kubernetes, cloud infrastructure (AWS), and infrastructure-as-code tools (Terraform).
• Proven ability to influence technical direction and decision-making across multiple teams and stakeholders.
• Deep understanding of distributed systems principles (e.g. consistency, availability, partition tolerance) and their real-world trade-offs.
• Experience defining and implementing SLOs, SLIs, and alerting strategies, including user-centric and business-aligned metrics.
• Strong software engineering fundamentals, with proficiency in at least one modern programming language (e.g. Go, Java, Python, or TypeScript), and the ability to design scalable systems, build tooling and automation, and operate effectively within large, complex codebases.
• Experience driving large-scale improvements through automation, reducing organizational toil, and eliminating classes of recurring issues.
• Strong analytical skills, with the ability to translate technical signals into business and customer impact.
• Excellent communication and stakeholder management skills, with the ability to influence both technical and non-technical audiences.
• A mindset of ownership, with a focus on long-term impact, scalability, and continuous improvement.

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 $170,000 - $213,000 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.

#LI-Hybrid

In-Person Position

Role Overview

OXOS makes radiographic imaging devices that give providers the capability and confidence to make accurate decisions at the point of care. As we scale, we need someone who can own the technical side of our customer relationships, not just answering support tickets, but actually making our devices work reliably in messy, real-world clinical environments.

OXOS is looking for a Technical Solutions Engineer who is equal parts support engineer, systems thinker, and toolbuilder. In this position, you will serve as a primary point of contact for customers requiring technical support, system integrations, and optimization of their OXOS solutions. This role involves diagnosing and resolving issues, supporting new integrations, and proactively enhancing system performance. Additionally, you will identify opportunities to streamline repetitive troubleshooting processes by developing automated solutions and scripts to improve efficiency and scalability.

About Working Here

OXOS is a small team, and this role touches every part of the company. You will work with Sales when a new customer deploys, with Engineering when something needs a real fix, and with Product when the field data points to a gap. The people who do well here are persistent. They do not drop a problem because it is hard or ambiguous. They find a way forward without waiting for someone to hand them an answer, and they hold themselves to a high standard without being asked to.

The Challenge

Are you passionate about enabling AI at scale? We’re seeking a talented and driven Staff Software Engineer – Front End to join our geographically distributed Platform AI team. Our mission is to accelerate AI adoption across the company by building reusable, scalable features and foundational components. As a Front End leader, you’ll collaborate with teams spanning diverse business domains, shaping the future of enterprise AI through world-class user experiences.  

Your Mission

As a Staff Software Engineer (Front End), you'll drive the development of intuitive, robust, and scalable web interfaces that enable teams across the company to leverage cutting-edge AI capabilities. You will:

• Lead the design and development of frontend applications and reusable UI components for AI-driven features using modern JavaScript/TypeScript frameworks (Angular 8+, React, etc.).
• Collaborate closely with backend engineers, data scientists, and product partners to integrate AI models, workflows, and APIs (e.g., those built with Python, LangGraph, and YAML configurations).
• Help define and uphold frontend architecture best practices for performance, accessibility, and maintainability.
• Ensure high standards of code quality, test coverage, and frontend observability.
• Contribute to the planning, grooming, and architectural discussions for new features and platform enhancements.
• Mentor and support other engineers to foster technical growth and cross-functional learning.

Your Responsibilities

Development:

• Build and maintain scalable, reusable frontend components and modules for AI product features.
• Integrate AI workflows, model outputs, and configuration-driven UIs.
• Achieve high code coverage (≥80% or team standard) through unit, integration, and exploratory testing.

Collaboration:

• Work closely with UX, Product, Backend, and Data Science partners to deliver seamless AI-powered experiences.
• Participate in and help lead architectural and design discussions.

Support:

• Proactively identify and resolve UI/UX issues, ensuring solutions are robust and production-ready.
• Address bugs and defects early to maintain high quality and reliability.

Code Review - Conduct peer reviews, provide actionable feedback, and champion best practices in frontend engineering.

Leadership - Lead by example, mentor peers as appropriate, and help cultivate a culture of technical excellence and innovation.

You Are

A self-starter who thrives in complex technical environments, you’re excited to shape the company’s AI future by delivering reusable, scalable frontend solutions. You are comfortable working with sophisticated codebases, proactively learning new technologies, and collaborating across disciplines.

Your Experience Includes  

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 10+ years of professional software engineering experience, with a strong focus on frontend development.
• Expert-level proficiency in HTML5, CSS, JavaScript, and TypeScript.
• Hands-on experience with modern frameworks (Angular 8+, React, etc.).
• Exposure to backend systems and a working understanding of Java and Python-based APIs.
• Familiarity with integrating AI/ML-driven features and configuration-driven UIs (e.g., YAML).
• Experience with public cloud platforms (Azure, GCP, or AWS).
• Comfortable with DevOps, Continuous Integration/Deployment, and Test-Driven Development.
• Strong communication skills and a collaborative mindset.

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks to scale and productionize our core data engineering, data analytics and machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable Data Platform: Design and build the Data platform for Batch and Streaming use cases. You will build and maintain a platform with cutting-edge technologies and enable data users by building data catalog and data lineage capabilities. You will be contributing to design and enforce robust data security architectures and controls. 
• Real-Time data platform at Scale: Build platform for deploying low-latency services to pipe data for streaming or near real time use cases. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Data Platform Ops: You will champion best practices for model deployment, monitoring, and CI/CD for Data pipeline deployment. You will enable complete observability for batch and streaming data platform and ensure the availability of 99.99%

What you have:

• 3+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining scalable Data platforms in high-traffic production environments. 
• Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve stream ingestion and processing, which will serve model inference in <100ms.
• Proficient with Containerization, Docker, Kubernetes and cluster-level management.
• Deep experience building a platform for managing the full Data lifecycle, including setting up a data exploration environment.  
• Expert in coding with Python and Go. Deep experience with Cloud services, preferred with GCP services (BigQuery, Cloud Functions, GKE) or AWS equivalents.
• Excellent communication skills, stakeholder management and outstanding problem-solving skills.
• Extensive experience in Big data technologies like Spark, Flink, Kafka or Kinesis, Argo/Airflow, Polaris, OpenMetadata, Iceberg, Lakehouse, Redis, Elasticsearch, and Databases. Experience with building REST APIs, package management and have built libraries.
• Should have been a key contributor to projects through the entire development lifecycle from concept to release.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for deployment of a large scale data platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling data platforms that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for Data teams for pipeline development and deployment.
• Enabling AI agents for repetitive tasks and AI coding for faster and iterative software development.

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 $100,000 to $150,000. 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:  4/23/2026

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

As a Senior ML Platform Engineer, you will contribute to building the ML platform at Prizepicks to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Build Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, setup platform for transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Build automation for deploying low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps: You will work with the Infrastructure team to build and operate core ML platform components for training and experimentation enablement considering developer experience. You will champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability for ML systems to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 5+ years of experience in Platform Engineering, with a proven track record of deploying and maintaining a scalable ML platform in high-traffic production environments. 
• 2+ years of experience owning ML systems end-to-end in production, including on-call and incident response.
• Experience with Real-Time Data, proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise, deep experience building a platform for managing the full ML lifecycle (training, deploying, monitoring) using tools like SageMaker, VertexAI, Vector DBs, Graph Databases. Managing and scaling caches like Redis or Elasticsearch.  
• Proficient with Containerization, Docker, Kubernetes, and cluster-level management.
• Expert in Python, proficiency in Go. C++, or Rust is a strong plus for building high-performance inference layers.

What makes you stand out:

• Experience implementing infrastructure while enforcing best practices for the deployment of ML Platform. 
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.
• Enabling self-service for ML and Data Science teams for model development and deployment.
• Enabling AI agents and AI coding for faster and iterative software development.

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 $160,000 to $210,000. 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:  4/27/2026

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

• Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
• Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
• Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
• End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.

What you have:

• 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
• 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
• Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
• MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
• Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
• Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.

What makes you stand out:

• Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
• Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
• Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.

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 $220,000 to $280,000. 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: 4/16/2026

About the Role:

The Senior Engineer is responsible for leading the development and implementation of complex solutions that drive client success. This role combines advanced technical expertise with leadership skills to guide projects, mentor junior engineers, and ensure best practices are consistently applied. The Senior Engineer serves as a trusted advisor, influencing technical strategy, improving processes, and delivering scalable, high-quality solutions.

What you'll do:

• Implement and document solutions based on defined requirements and architectural guidelines.
• Implement enterprise solutions in collaboration with engineering and delivery teams.
• Participate in system migrations, upgrades, integrations, and modernization initiatives.
• Conduct solution assessments and assist with proof of concepts or pilots.
• Ensure solutions align with organizational standards, best practices, and compliance requirements.
• Troubleshoot technical challenges and recommend effective resolutions.
• Collaborate with Architects to ensure architectural consistency across projects.
• Develop technical documentation, diagrams, and deployment guides for project teams.
• Provide technical support to delivery teams during implementation.
• Stay current with emerging technologies and contribute to knowledge sharing within the team.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6+ years of professional technical experience preferably with 2-4 years of experience in solution design, or architecture roles.
• Strong working knowledge of core IT domains:
• Compute Platforms:
• Dell PowerEdge, OpenManage
• HPE Proliant DL/ML series, Synergy, OneView
• Cisco UCS B-Series, X-Series, Intersight
• Storage Solutions:
• Pure Storage Flasharray / Flashblade
• HPE Alletra, Primera
• Dell PowerStore, PowerMax, PowerScale
• NetApp
• Virtualization Platforms:
• Broadcom VMware VCF deployment/implementation experience required
• Nutanix 
• Backup and Disaster Recovery Platforms:
• Veeam Backup & Replication
• Cohesity
• Rubrik
• Broad technical expertise across multiple domains (e.g., hybrid cloud, distributed systems, security).
• Relevant professional certifications preferred.
• Broadcom VCF 9 Implementation
• Nutanix Platform Expert (NPX) / Nutanix Certified Expert - Multicloud Infrastructure (NCX-MCI)
• HPE Master ASE / HPE ASE – Compute Architect / HPE ASE – Storage Architect
• Dell Technologies Certified Master, Dell Technologies Certified Specialist, Dell Technologies Certified Expert
• Cisco UCS Design & Implementation Specialist
• Pure Storage Certified Professional (PSCP)
• NetApp Certified Storage Installation Engineer (NCSIE)
• Veeam Certified Engineer (VMCE)
• Cohesity Certified Technical Architect (CCTA)
• Rubrik Certified System Administrator(RCSA)
• Experience implementing enterprise solutions in real-world client or enterprise environments.
• Experience contributing to technical assessments, designs or proofs of concept.
• Solid problem-solving and analytical abilities.
• Ability to approach client and sales requests in a proactive and consultative manner; listen and understand user requests and needs and effectively deliver
• Strong written and verbal communication skills for documenting and presenting technical solutions.
• Ability to work effectively in team-based environments with cross-functional stakeholders.
• Highly organized and capable of managing multiple projects in dynamic environments.
• Ability to travel if required.

About Your Role 

As a Mid-Level Security Engineer at QGenda, your primary responsibility will be to leverage your robust AWS security expertise to secure cloud-based applications, infrastructure, and customer data against evolving threats. You will collaborate closely with Product, Development, and Infrastructure Teams, integrating AWS security tools and processes into our SDLC while advancing the organization’s overall security posture. This role offers significant opportunities for professional development and direct impact on our evolving security environment.

How You’ll Make an Impact 

• Assist in the design, implementation, and management of AWS-native security solutions such as GuardDuty, SecurityHub, Inspector, and Config to secure our infrastructure and systems.
• Aid in automating and scaling security processes, integrating best practices and tools (e.g., SAST, DAST, SCA) into the Software Development Life Cycle (SDLC) through close collaboration with development teams.
• Lead vulnerability management, overseeing scanning, risk prioritization, and coordination of timely remediation efforts, including patching.
• Proactively implement security controls and governance for the safe and compliant adoption of generative AI and AI/ML technologies.
• Apply AWS Cloud security best practices to monitor, detect, respond, and mitigate risks effectively.
• Help Develop and maintain security policies, standards, and procedures aligned with frameworks like NIST, ISO 27001, and SOC 2.
• Support security audits and compliance efforts for regulatory requirements such as HIPAA, SOC 2, and FedRAMP.
• Offer security awareness training and guidance to staff, and clearly report security metrics to management.

Who You Are 

• Extensive hands-on expertise with AWS security tools and concepts, including IAM, Key Management Service (KMS), AWS Organizations, and encryption techniques.
• Proven ability to design and deploy secure architectures in AWS, including multi-account structure configurations.
• Hands-on experience with DevSecOps practices and securing CI/CD pipelines, including SCA, SAST, and IaC tools.
• Proficiency in scripting and automation (Python, Bash, PowerShell Core) to drive efficiency and scalability in security operations.
• Expertise in vulnerability management, including hands-on experience with scanning tools (e.g., Nessus, Qualys) and a proactive approach to risk prioritization and remediation.
• Familiarity with Cloud Native Application Protection Platform (CNAPP) solutions (e.g., Wiz, Sysdig, Orca, Lacework).
• Knowledge of industry compliance standards and frameworks (e.g., NIST, ISO 27001, HIPAA, SOC 2) and their practical application.
• Ability to strategically leverage AI and ML tools to augment and enhance security workflows, ensuring a human-in-the-loop approach to maintain critical oversight and judgment.
• Demonstrated experience in incident response coupled with exceptional problem-solving and composure under pressure.
• Excellent communication and collaboration skills, vital for partnering with cross-functional teams and advocating for security best practices.

Experience You Bring 

• Bachelor's degree from an accredited college or university or equivalent industry experience.
• 1-4+ years of experience in security engineering, security operations, or related fields.

Not Required, But Nice to Have 

• Relevant certifications such as CySA+, CEH, OSCP, E|CDE, or AWS Security Specialty.
• Deep knowledge of container security (e.g., Docker, Kubernetes).
• Familiarity with: zero-trust architecture principles, OpenSSF, CNCF, MITRE ATT&CK, Threat Modeling, OWASP, CIS, CVSS, DLP, and IAM.

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

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.

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. 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.

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

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

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 $149,000 - $195,300 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

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. 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.

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

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

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 $149,000 - $195,300 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

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.

THE POSITION
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you’ll own the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, independently executing on projects, and continuously learning in a fast-paced environment.

If you’re excited by this challenge and want to work within a dynamic company, then we’d love 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

Build & Maintain Data Pipelines

• Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.
• Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.
• Ensure data is reliable, accurate, and delivered in a timely manner.
• Lead projects to build or improve well-scoped data products.

Collaborate Across Teams

• Work with data analysts, data scientists, and product managers to understand and clarify ambiguous requirements to deliver actionable data solutions.
• Translate business questions into engineering tasks and contribute to technical planning.
• Participate in code reviews, sprint planning, and retrospectives as part of an agile team.
• Contribute to team wide best practices.

Data Quality & Operations

• Monitor data pipelines and troubleshoot issues in a timely, systematic manner.
• Driving reliability and continuous improvement of data platforms and pipelines.
• Implement data quality checks and contribute to observability and testing practices.
• Document data sources, transformations, and architecture decisions to support long-term maintainability.

THE STATS
What we're looking for in our next teammate

• 3+ years of experience in data engineering, analytics engineering, or software engineering with a focus on data.
• Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).
• Hands-on experience with modern data tools such as Databricks, Airflow, dbt, Spark, or Kafka.
• Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.
• Experience working with cloud-based data platforms (AWS, GCP, or Azure).

Preferred Qualifications

• Experience supporting BI, analytics, or data science teams.
• Familiarity with version control, CI/CD, and collaborative development workflows.
• Exposure to data governance, privacy, or compliance practices.
• Eagerness to learn new technologies and contribute to the growth of the team.
  
  
  

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 $116,000 - $152,250 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

THE POSITION
Our roster has an opening with your name on it

As a Senior Software Engineer within one of FanDuel’s Risk Management Automation teams, you will be an essential part of a cross functional agile team that directly impacts our business. You will work collaboratively with a team to implement creative, high-quality solutions, scope effort and timelines, and balance priorities of our stakeholders and engineering needs. Your team will work closely together to deliver exceptionally high-quality software, while taking pride and ownership in testing, deploying, monitoring, and maintaining that software. Our engineers own every part of the software delivery lifecycle. 

You will work directly with risk managers at FanDuel to improve the major automated risk management platforms. You will be a domain expert on automated risk implementation and how that fits into the larger Risk and Trading landscape. You will go beyond the software developer role and will be called upon to identify opportunities yourself in the risk automation space to innovate through technology. 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.

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

You are a significant and autonomous contributor. Your work is consistently of high quality. You solve difficult problems, applying appropriate technologies and best practices. You work with your team to invent, design and build software that is stable and performant. You are proficient in a broad range of design approaches and know when it is appropriate to use them and when it is not. Your solutions are pragmatic. You consider the legacy of the code you produce and write code that an SDE unfamiliar with the system can understand. You limit the use of short-term workarounds. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You create flexible software without over-engineering. You make appropriate trade-offs, re-use where possible, and are judicious about introducing dependencies. You are efficient with resource usage (e.g., system hardware, database, memory/CPU, etc.).

We are looking for engineers to actively engage in technical discussions, assist in designing and implementing solutions, pair program with our more junior engineers, and deliver constant improvements to our systems. We want you to be excited about constantly learning and driving your professional development. You should have most, or all, of the following skills: 

• You have deep experience with C Sharp and backend systems.
• You have experience working directly with stakeholders/end users.
• You write simple and extendable code following standards and best practices.
• You test your code thoroughly
• You help balance customer requirements with the team requirements
• You help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviews
• You classify, store, and handle data in accordance with FanDuel policies
• You track security risks and mitigate and/or escalate them in a timely manner
• You focus on operational excellence, constructively identifying problems and proposing solutions
• You take on projects and make software enhancements that improve the team software and processes
• You work to resolve the root cause of complex problems, leaving software better and easier to maintain than when you found it
• You can train new team-mates on how your team's software is constructed, how it operates, how secure it is, and how it fits into the bigger picture
• You foster a constructive dialogue and seek resolutions in a professional way
• You help recruit and interview for your team
• You estimate stories/tasks accurately and deliver them in time
• You mentor and help to develop others
• On-call rotation where required. You provide excellent customer support
• You keep yourself up to date with market standards, open-source frameworks
• Most importantly, you are humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm. Responsible for the state of the code you both inherit and produce
• Creative problem-solving ability 
• A passion for learning and always getting better

THE STATS
What we're looking for in our next teammate

• Degree in Computer Science, Data Science, Engineering.
• 5 or more years of industry experience in a Software Engineering field, Machine Learning, Data Science, Finance Engineering
• Proficient in building services with modern OOP languages, C# is essential.
• A fundamental understanding of data structures and algorithms.
• Proficient in working with GitOps Patterns
• Experience working with CI/CD pipeline tooling (BuildKite and GitHub Actions knowledge is beneficial).
• Experience working with cloud-based infrastructure and technologies.
• Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications.
• Knowledge of infrastructure as code is nice to have, notably Terraform and Helm.
• Experience interacting and designing relational databases.
• Experience with streaming technologies (Kafka is nice to have).
• Ability to document code, research, and designs clearly (Jira and Confluence experience nice to have).
• Proficiency in translating requirements into design and developing applications.
• Understanding of containers (e.g. Docker), and orchestration (Kubernetes).
• Demonstrated abilities driving operational excellence and on call support.
• Experience with unit testing, testing tools, integrating testing and best-quality practices into an SDLC.
• Experience working in an Agile environment.
  
  
  

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 $149,000 - $195,300 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

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

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

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking an SRE Observability Architect who will define the strategic vision, technical architecture, and engineering standards for observability across the organization's cloud platforms. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As an SRE Observability Architect, your key area of responsibility will be defining the foundational observability architecture that enables scalable, cost-efficient, and highly reliable insight into distributed systems while leading the design of next-generation observability platforms. You will need to work closely with SRE, platform engineering, and application development teams, as well as align with security and compliance stakeholders. 

To be successful in this role, you will be a strong analytical and systems thinker with the ability to navigate complex, ambiguous technical challenges and articulate technical architecture to executive audiences. In addition, the successful candidate will have deep expertise in designing enterprise-scale observability platforms and the ability to influence and drive technical direction across multiple teams and organizational boundaries.

How you'll make an impact:

• Define and own the enterprise-wide observability architecture, establishing technical standards, reference architectures, and multi-year roadmaps.

• Evaluate, select, and standardize observability tooling (e.g., Grafana, Prometheus, VictoriaMetrics, Tempo, Loki, Elastic Stack, OpenTelemetry) to reduce tool sprawl and optimize total cost of ownership.

• Design scalable data pipelines and storage strategies capable of ingesting and querying petabyte-scale telemetry data across metrics, traces, logs, and continuous profiling.

• Design Terraform modules and Helm charts for declarative observability infrastructure provisioning across multi-cloud environments.

• Establish and enforce instrumentation standards using the OpenTelemetry framework, including SDK guidelines, collector deployment patterns, and semantic conventions.

• Define and champion SLO/SLI/error-budget frameworks across engineering teams, providing architectural guidance on service-level objective implementation.

• Serve as a senior escalation point during critical incidents, leveraging deep observability expertise to accelerate diagnosis and resolution.

• Provide architectural mentorship and technical guidance to Observability Engineers and SRE team members.

What you'll bring to the role:

• 5-8 years of experience in Observability Architecture, Site Reliability Engineering (SRE), or Platform/Infrastructure Engineering.

• Post-secondary Diploma/Degree in Engineering, Computer Science, or a related field.

• Mastery of the OpenTelemetry ecosystem and expert-level knowledge of Prometheus-compatible metrics systems (VictoriaMetrics, Thanos, etc.).

• Advanced experience with tracing systems (Grafana Tempo, Jaeger) and log aggregation platforms (Loki, Elasticsearch, Google BigQuery).

• Expert-level proficiency in cloud infrastructure (GCP strongly preferred) and Kubernetes architecture.

• Strong software engineering skills in Go, Python, or similar languages for building cloud-native tooling.

• Excellent communication skills with the ability to influence technical direction across organizational boundaries.

• Preferred certifications: Google Cloud Professional Cloud Architect or Certified Kubernetes Administrator (CKA).

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

The Challenge 

We are looking for a Principal-level SDET to support our product development teams. As the Principal SDET, you will play a crucial role in shaping and leading our software testing strategy. You will be responsible for designing, developing, and implementing robust test automation frameworks, mentoring a team of SDETs (Software Development Engineer in Test), and ensuring the overall quality and reliability of our software products. 

Your Mission  

As a Principal SDET, you will: 

• Provide technical leadership and guidance to the SDET team.
• Collaborate with development and QE (Quality Engineering) teams to integrate testing into the software development process.
• Design, develop, and maintain scalable and efficient test automation frameworks and test architectures.
• Rub shoulders with developers in writing unit and integration tests using their tools and frameworks.
• Ensure the frameworks support various testing types, including functional, integration, and performance testing.
• Mentor and guide junior SDETs, providing technical expertise and career development support.
• Conduct training sessions to enhance the skills of the testing team.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Collaborate with cross-functional teams to develop comprehensive test plans.
• Execute and oversee the execution of test cases, ensuring thorough coverage of functional and non-functional requirements.
• Analyze test results and provide meaningful insights to improve product quality.
• Work closely with developers, product managers, and other stakeholders to understand requirements and user stories.
• Communicate effectively with team members and stakeholders, providing clear updates on testing progress and issues.
• Add, maintain, and update scripts in existing automation suite, helping with running the suite across various checkpoints in the release cycle.
• Participate in various POCs (Proof of Concept) to keep the automation framework and technology relevant and current to product offerings. 
• Conduct peer reviews of test code and automation frameworks.

You Are 

You are a seasoned SDET with an automate anything anywhere attitude who is looking for a challenging technical leadership role in a dynamic and innovative company. You can efficiently find the underlying cause of a failure (in an integrated environment) and alert the right team. You are consistently willing to pitch in to support a long running deployment, even after hours. You are willing to learn and pick up new skillsets to support the ever-changing technology landscape like Cloud computing & AI (Artificial Intelligence). You can understand complex product and deployment architectures and create efficient test solutions. You want to be part of a team that is passionate about delivering high-quality software solutions.

Your Experience Includes 

• Bachelor's degree in Computer Science, Engineering, or related technical or business field.
• 10+ years of relevant experience working as a developer, automation engineer or SDET.
• 8+ years of experience coding in Java and must have strong practical knowledge of OOPs and Core Java principles. 
• 4+ years of experience contributing to Test-Driven Development or BDD (Behavior Driven Development) with tools like Cucumber, Junit, Mockito, or TestNG.
• 3+ years of experience with CI/CD tools like Jenkins, Circle CI, or Azure DevOps with the ability to create test pipelines using Java or Groovy.
• 4+ years of experience with Selenium or Cypress frameworks for automating GUI (User Interface) and E2E tests of the application.
• 4+ years of experience with REST Assured or similar tools like Postman for automating APIs.
• 4+ years of experience working in a highly automated CI/CD environment.
• 4+ years of experience with source control tools such as Bitbucket, GitHub or GitLab.
• 2+ years of experience mining meaningful logs for troubleshooting using tools like Splunk, Dynatrace or Coralogix.
• 3+ years of experience working in a cloud shop preferably Azure with exposure to various Azure services like Gateways, Redis, Storage, VMs (virtual machines) and Kubernetes clusters. 
• 3+ years of experience in testing mobile applications, both native and websites using Appium on both real devices and simulators either in a private farm of 3^rd party vendors like Sauce Labs or BrowserStack.
• 4+ years of experience working with geographically distributed teams in US, Canada, and India.
• Strong analytical, critical thinking and problem-solving skills.
• Ability to work as part of a team, demonstrate initiative, solve problems independently and mentor others.
• Passion for high-quality work and attention to detail.
• Strong oral and written communication skills.

Extra Awesome

• Prior exposure to AI/ML systems and how to use them in testing thus making test pipeline more intelligent.
• Experience in analyzing the CPU Utilization, Memory usage, Network usage, Garbage Collection and DB Parameters and DB Reports to verify the performance of the applications.
• Ability to spin up scalable test architecture using Docker or Kubernetes.
• Experience with Kubernetes and extended usage patterns for test grids, auto scale properties.

About The Weather Company:

The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com).

Job brief:

We’re seeking a Senior Data Engineer to design, build, and operate large-scale, data-intensive platforms in the cloud. In this role, you’ll be responsible for developing reliable data pipelines, scalable data processing systems, and high-availability architectures that support analytics, machine learning, and data science use cases.

You’ll work with modern big data technologies and AWS services, contribute hands-on code, lead smaller data initiatives, and mentor junior engineers. This is an ideal role for someone who thrives in complex data environments, values strong engineering fundamentals, and enjoys turning raw data into dependable, production-ready systems.

The impact you'll make:

• Designs and implements sophisticated software systems using either object-oriented or functional programming techniques implemented in Python, Scala or Java languages.
• Participate in, and adhere to, professional software engineering practices using such tools and methodologies as Agile Software Development, Test Driven Development, Continuous Integration, Source Code Management (git), Jira, and Stash
• Maintain an advanced level of proficiency with Computer Science/Software Engineering knowledge.
• Work well independently and as part of a team, mentoring junior engineers in routine, less-complex tasks, and leading small projects
• Other duties as assigned.

What you've accomplished:

• Bachelor's or Master's in a related field, or commensurate experience
• 5+ years in Computer Science, with a proven track record of successful projects.
• 5+ years of experience operating and deploying solutions using AWS Service including S3, EMR, SQS, SNS, Lambdas, Athena, Glue, Kinesis, and MSK.
• 5+ years of experience with one or more of the following programming languages: Python, Scala, or Java
• 5+ years of experience with SQL.
• 5+ years of experience with big data technologies such as Cassandra, Spark, Hadoop, Parquet, Redash, etc.
• Advanced proficiency in building data integrations using both API and file-based protocols.
• Advanced proficiency with test-driven development and unit testing.
• Experience with Git Version Control or similar
• Experience with CI/CD pipeline patterns and best practices
• Proficiency with alerting and monitoring tools like Grafana
• Demonstrated ability to learn new technologies and languages.
• Able to put together process documentation concisely and clearly.
• Excellent written and verbal communication skills.
• Able to work closely and effectively with peer developers and work on several active projects simultaneously, including leading small projects.
• Solid experience implementing high-availability, scalable cloud solutions
• Strong understanding of data structures and algorithms
• Solid knowledge of functional programming languages and techniques, and object-oriented programming languages and techniques
• Solid knowledge of concurrency and concurrent programming techniquess and distributed computing techniques
• Knowledge and understanding of operating with data in large scale, including Machine Learning and Data Science concepts

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!

#LI-Remote

#LI-Hybrid

#LI-Onsite

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

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.

Software Engineer – Inspire11  

Elevens, as we call ourselves here, are curiously smart, purposefully scrappy, and dedicated to the highest standard of quality. By being true to ourselves and others, we create a respectful environment that enhances collaboration, drives growth through high expectations, and ensures alignment with our core values. Inspire11 is more than a modern business and technology consulting firm; we're a revolution. We work differently — and it shows. Every move we make is tied to measurable value, and our success aligns with our clients’ success. We partner to simplify the complex, solve sustainably, and stay ahead by continuously pushing our own thinking forward. Value creation isn't something we talk about — it's something we live, every day. 

At Inspire11, we're not just offering a job; we're providing a platform for you to transform the future. You'll feel right at home here if you think differently, build boldly, and lead with impact. We're a place where your unique perspective is valued, your boldness is celebrated, and your potential is unleashed. 

• Growth Through Challenge:  We hold ourselves to the highest standards of excellence and accountability. At Inspire11, we are committed to delivering exceptional results and empowering our employees to take ownership of their work and drive meaningful impact. You'll work alongside elite consultants who challenge you to expand your skills and think even more creatively. 

• The Autonomy to Do Your Best Work: Here, outcomes matter more than outputs. It's about the value we create. You'll have the autonomy to shape your work, drive decisions, and make an impact—not just for our clients but for your growth. You'll be challenged to think strategically, anticipate needs, and solve problems. Bold thinking, creative approaches, and challenging conventional wisdom are part of our DNA. Our clients rely on us to lead them into what's next. 
• Diverse Perspectives Driving Innovative Solutions: We champion inclusivity and authenticity, knowing that diverse perspectives drive better solutions. You'll be encouraged to bring your whole self to work, knowing that's where true innovation happens. We also believe that doing great work should be fun. Our culture thrives on energy, camaraderie, and appreciating the unique contributions that make Inspire11 an amazing place. Our teams get energy from being the best they can be. 

What you can expect in this role: 

• Collaborate closely with clients to design and build custom technology solutions tailored to business needs.
• Develop responsive, declarative front-end user interfaces using ReactJS and modern JavaScript libraries, while also building complex back-end systems using Java (or Scala/Kotlin), C#, Node.js, or Python. 
• Design, develop, and support critical applications and system components from end to end.  
• Write and execute unit tests; troubleshoot and recommend solutions for complex technical issues.
• Contribute to ongoing enhancement of both new and existing applications across the full stack. 

Tools for success: 

• Contribute to ongoing enhancement of both new and existing applications across the full stack. 
• Proficient in full-stack development with expertise in either modern JavaScript & React, or backend-languages like Java, Kotlin, Python, etc., along with API design and documentation 
• Experienced with both relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB), and database schema design.   
• Hands-on experience with cloud platforms (primarily AWS), containerization tools (e.g., Docker), and CI/CD pipelines (e.g., Jenkins, GitHub Actions).   
• Strong understanding of Agile methodologies (Scrum, Kanban) and version control using Git.   
• Passion to mentor other engineers, driving technical excellence, while contributing to a strong engineering culture.
• Actively explores and integrates AI/ML technologies into development workflows; stays up to date on the rapidly evolving AI landscape and market trends.   
• Committed to continuous learning and staying current with evolving technology trends, frameworks, and best practices.   
• Excellent communicator with the ability to thrive in fast-paced, dynamic environments and take initiative across varied responsibilities.    

This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. 

Inspire11 is unable to sponsor employment visas at this time. Applicants must be legally authorized to work in the U.S. at the time of application and throughout the duration of employment. 

Inspire11’s Privacy Policy: https://www.inspire11.com/privacy-policy/  

For more information regarding our compensation and benefit offerings please see below: 

U.S. Compensation & Benefits  

Compensation at Inspire11 
Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven’s skill, experience, performance, responsibility, and effort. We may also consider an employee’s length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company’s financial ability.   

Compensation may be increased or decreased at Inspire11’s discretion based on an employee’s performance reviews, market conditions, and the Company’s financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation.  

Bonuses 
We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual’s periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company’s current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out.   

Each year, the Company will decide whether the Company’s financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team will grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees’ diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool.   

Options or Other Equity in Inspire11 
Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers’ recommendation, and leadership approval. These options have a vesting period associated with them.  

Benefits 
Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee:   

• Medical insurance plans, 
• Dental insurance plans, and  
• Vision insurance plans.  

Full-time employees are eligible for the following benefits provided wholly by the Company:  

• Short-term disability, providing for a benefit of 60% of an employee’s salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; 
• Long-term disability, providing for 60% of an employee’s salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; 
• Life insurance, providing for a benefit of two times the employee’s annual salary, up to a maximum payout of $400,000;   
• A connectivity stipend of $325 annually; 
• Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things.  

Full-time employees are also eligible to participate in the Company’s 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions up to 3% of an employee’s salary.  

Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds:   

• Flexible savings accounts
• Limited-purpose flexible savings accounts  
• Healthcare savings accounts
• Dependent care savings accounts  
• Commuter benefit accounts  

Paid Time Off and Leave 
Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave.   

In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year.   

Inspire11 offers paid parental leave to full-time employees who have been with the company for at least one year. Birthing parents are eligible for up to 12 weeks of paid parental leave, while non-birthing parents are eligible for up to 6 weeks. Short-term disability (STD) benefits are also provided following childbirth. When combined with PTO and STD, birthing parents may receive a total of 18–20 weeks of paid leave. Lastly, Inspire11 has eight paid holidays.  

Other Benefits 
Inspire11 also maintains other programs that provide additional benefits to employees, such as:   

• Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. 
• Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor’s approval. 
• Regular gifts of Inspire11 clothes, office items, and swag.  

Disclaimer 
This document applies only to the United States and to Inspire11 LLC, not our worldwide partners.  

Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document.  

EEOC 
Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. If you need assistance or a reasonable accommodation during the application process, please contact us at hr@inspire11.com, or inform your recruiting partner. 

“Please note, this isn't a software engineering role. As a Solution Engineer, you'll dive deep into our customers' needs, crafting innovative, end-to-end solutions using the Instabase platform. If you're passionate about blending tech with customer success, this is the role for you!”

Our Solution Engineering Team is the foundation of our customer’s experience and success with Instabase. This founding team will develop custom end-to-end solutions to the most critical and strategic NP-hard problems for our customer’s operations and build apps on the Instabase AiHub platform.

As a Solutions Engineer, reporting into Instabase Professional Service Organization,

• You’ll play a massive role in supporting the largest global enterprise as we expand into new sectors/industries.
• You’ll grow alongside and architect new solutions. You’ll use Instabase AIHub platform to solve AI use cases that are fundamental to extend our library of apps, incorporating custom requests/input from our customers. 

What you’ll do:

• Provide technical expertise in the post-sales process, outlining the value proposition, clarifying technical requirements, and answering Instabase related questions
• Deliver an exceptional post-sales customer experience
• Collaborate with customers to understand their business requirements, design and build customized solutions on the Instabase platform using Prompt Engineering and python scripting
• Work with APIs and databases to integrate with other systems and technologies
• Develop and implement production-grade solution within the customer’s environment
• Assist in troubleshooting and resolving technical issues that may arise during the implementation process
• Provide technical training and support to customers and team members
• Stay up-to-date on Instabase features, Machine Learning, LLMs, Python, APIs, and databases
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles
• Collaborate closely with the Product, Engineering, Sales, Solutions Architecture and Customer Success teams to ensure a seamless customer experience

About you:

• Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize prompts.
• Experience in requirements gathering, scoping, technical documentation and developing technical solutions by collaborating with customers
• Experience in Python scripting
• Experience with APIs and databases, such as RESTful APIs, SQL, NoSQL, and MongoDB
• Experience in working on the Instabase platform or similar automation platforms
• Excellent problem-solving skills and ability to troubleshoot technical issues
• Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong attention to detail and ability to deliver high-quality work

US Benefits: 

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future. 
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters— 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you're in the office.

Compensation: For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity, and US Benefits. The actual pay may vary based on factors such as location, experience, and skills.

Who we seek:

We are expanding our Solutions Engineering team. We're always looking for top Engineers to join our winning team. This team works closely with innovative companies interested in leveraging BigID’s platform. You will use your knowledge to influence customer decisions, provide insightful solutions, and drive successful proof-of-value implementations. With your potent technical capabilities, critical and creative thinking, and passion for fast-paced problem-solving, be ready to hit the ground running.

We're seeking someone based in EST.

What you’ll do:

• Work with the Sales team as the technical subject matter expert for BigID’s platform during customer calls and presentations
• Use market and technical knowledge to consult on best practices and offer constructive direction for solution architecture and design
• Stay up-to-date on relevant competitive solutions, products, and services/offerings
• Drive customer success with real-world knowledge and recommendations
• Develop a trusted advisory role with customers, communicating upcoming product changes, enhancements, and serving as an internal voice of the customer
• Work with the post-sales teams to ensure every customer realizes the value of the BigID Platform and continues to contribute to the success of BigID customers

What you’ll bring:

• Interpersonal communication, customer relationship, executive presentation skills
• Excellent organization skills and ability to multitask in a fast-paced startup environment
• Demonstrated ability to address customer needs and provide best practices
• Strong background in Big Data, AI, privacy, data governance, or information security
• Good troubleshooting abilities and a methodical approach
• Ability to describe complex technical concepts to diverse audiences: executives, business stakeholders, and technology practitioners
• Passion for demonstrating solutions and ability to provide technical input during the sales process
• Broad understanding of enterprise data architecture, privacy, and security technologies
• Ability to plan, execute and close out a Proof of Concept with minimal assistance and oversight
• Desire to share knowledge through excellent documentation creation and RFI/RFP responses
• Some prior experience with one or more of the following: RDBMS systems, no-SQL data stores (MongoDB, Cassandra, DynamoDB), Hadoop technologies (such HDFS, Hive, HBase), cloud technologies (AWS EMR, S3, DynamoDB, Redshift, Azure file and blob storage, etc.)
• Prior experience with Identity and Access Management or Data Loss Prevention tools is a plus
• Proficient in Linux and container framework (Docker and Kubernetes)
• Minimum of 3 years in a pre-sales or consulting role within a multinational environment
• Bachelor’s degree in computer science or related discipline (master’s degree a plus)

Our Values:

We look for people who embody our values - Care, Do,Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try - We try our best and we don’t give up
• Shine - We shine and make it our mission to always stand out

BigBenefits: 

💻 Work from home with a global remote-first community

 Global Culture Corner

 Flexible PTO and Quarterly Volunteer Days

💸 Equity Participation

 100% employer-covered medical, dental, and vision options available to you

🐶 Additional insurance benefits like pet insurance and legal assistance 

📚 Learning & Development Opportunities 

Fidelity Employer Sponsored 401K 

 Paid Parental Leave

The annual base salary range is $135,000 - $150,000. Actual salaries will vary and are based on a candidate’s qualifications, skills, and competencies. Salary is just one component of our Compensation Philosophy. Variable/Bonus Compensation & Equity Incentives align with individual and company performance.

#LI-YD1

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