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full stack software engineer - ai

data engineer ai

Data Society

<div><h3 class="jobSectionHeader"><b>About Data Society Group</b><br>
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, supporting engineers and scientists to train up on the most complex AI solutions and Machine Learning skills.</h3><h3 class="jobSectionHeader"><b>
Role Overview</b><br>
We are seeking a capable and resourceful Data Engineer with expertise in cloud-based text-focused AI systems to join our technology and solutions team. In this role, you will be a key individual contributor, applying your expertise to build robust, scalable, and complex data and AI solutions for our external clients. You will work within a cross-functional team, collaborating closely with UX Designers, Engineers, and Project Managers to translate client requirements into high-quality technical deliverables.</h3><p><b>
Note:</b> Due to the confidential nature of our federal government Clients, this role requires the ability to pass a United States federal government Public Trust background check and is exclusively open to U.S. Citizens located within the United States.</p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li>
Design, build, and maintain scalable data pipelines for structured and unstructured data ingestion, transformation, and processing.</li><li>
Architect, build, and deploy LLM-based solutions on cloud platforms, including prompt pipelines, orchestration layers, embeddings, vector databases, and evaluation workflows.</li><li>
Design and implement RAG systems end-to-end including document ingestion, chunking/embedding, indexing, retrieval, grounding, model integration.</li><li>
Architect and enforce data models, governance, cataloging and schema design to support both analytics and AI workloads.</li><li>
Build and optimize cloud-native data architectures to support compute, storage, and orchestration for high-throughput, production-grade AI workloads.</li><li>
Implement reliable and efficient ETL patterns, leveraging best practices for data quality, lineage, versioning, and cataloging.</li><li>
Instrument observability and monitoring for data pipelines, including latency, error rates, and schema drift, with alerting and automated remediation where possible.</li><li>
Implement monitoring, observability, and performance optimization for data and AI systems.</li><li>
Operate effectively within Agile workflows, contribute to sprint planning, estimations, backlog refinement and continuous improvement.</li><li>
Work closely with clients to gather requirements, provide technical guidance and present solutions and implementation plans.</li><li>
Communicate complex technical information to both technical and non-technical stakeholders.</li><li>
Work cross-functionally with UX, engineering, and PM teams to deliver client-facing solutions.</li><li>
Translate complex technical needs into clear development requirements and implementation plans.</li><li>
Stay current with emerging technologies and recommend improvements to our engineering practices, architecture patterns, and cloud ecosystem.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications</b></h3><ul><li>
Hands-on experience deploying LLM-based applications, including RAG or similar retrieval systems.</li><li>
Proven experience deploying systems on AWS or Azure (AWS preferred).</li><li>
Strong understanding of embeddings, chunking strategies, retrieval optimization, and evaluation.</li><li>
5+ years of data and analytics engineering in cloud environments.</li><li>
Expertise in SQL, Python, and schema design with experience in data cataloging and governance tools.</li><li>
Demonstrated experience building robust and maintainable data architectures, including real-time or steaming pipelines.</li><li>
Experience working in Agile / Scrum development processes.</li><li>
Excellent communication skills and ability to work cross-functionally with non-technical teams.</li></ul><p>
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.</p><p>
This position will be remote in the US though based out of the Washington, DC area with travel to client sites in DC if needed.</p><p>
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Data Engineer (AI)

Blue Signal Search

<div>
 <p>
  <strong>
   Full Stack Software Engineer - AI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Location: St. Petersburg, FL or Washington, DC (Hybrid Remote)
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Type: Full-Time | Direct Hire | Flexible Remote Options
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Opportunity
  </strong>
 </p>
 <p>
  An emerging AI technology firm is revolutionizing how global organizations approach digital transformation. This innovative company combines deep domain expertise with cutting-edge AI software to streamline complex business processes, enhance operational visibility, and drive automation at scale.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re looking for a
  <strong>
   Full Stack Software Engineer - AI
  </strong>
  who will play a critical role in designing, building, and optimizing intelligent applications used by enterprise clients around the world.
 </p>
 <p>
  You&rsquo;ll work across the full technology stack - from front-end interfaces to backend integrations - turning complex challenges into intuitive, scalable solutions powered by AI and automation.
 </p>
 <p>
  This role is ideal for a developer eager to grow in a collaborative, entrepreneurial team where your ideas are heard and your code makes a visible difference.
 </p>
 <p>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and deploy full stack applications leveraging modern AI frameworks and cloud infrastructure.
  </li>
  <li>
   Build and maintain integrations between systems (ERP, CRM, and procurement software) through RESTful APIs and data pipelines.
  </li>
  <li>
   Collaborate with cross-functional teams to translate business requirements into elegant, scalable software solutions.
  </li>
  <li>
   Contribute to technical architecture decisions, coding standards, and agile development processes.
  </li>
  <li>
   Write clean, efficient, and testable code that meets enterprise-grade performance and security standards.
  </li>
  <li>
   Participate in code reviews, documentation, and continuous improvement initiatives.
  </li>
  <li>
   Stay current with emerging technologies in AI, automation, and full stack development.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <ul>
  <li>
   3&ndash;6 years of professional experience in software development (frontend and backend).
  </li>
  <li>
   Strong proficiency in JavaScript, Python, or TypeScript, and frameworks such as React, Node.js, or Django.
  </li>
  <li>
   Experience with REST APIs, JSON, SQL/NoSQL databases, and cloud-based development environments (AWS, Azure, or GCP).
  </li>
  <li>
   Understanding of data modeling, system integration, and secure application design.
  </li>
  <li>
   Excellent problem-solving skills and an ability to collaborate in a fast-paced environment.
  </li>
  <li>
   Strong communication and interpersonal abilities, with comfort working across business and technical teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <ul>
  <li>
   Familiarity with AI or machine learning frameworks, or experience in SaaS platforms incorporating automation and analytics.
  </li>
  <li>
   Exposure to enterprise or supply chain technology is a plus (ERP, procurement, or manufacturing systems).
  </li>
  <li>
   Background in startup or growth-stage software environments, comfortable adapting to evolving priorities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   Competitive salary and performance-based bonuses.
  </li>
  <li>
   Collaborative and inclusive culture focused on innovation and learning.
  </li>
  <li>
   Direct mentorship from senior engineers and access to emerging AI technologies.
  </li>
  <li>
   Meaningful work building intelligent applications that power enterprise success.
  </li>
  <li>
   Flexible hybrid environment offering both autonomy and visibility.
  </li>
 </ul>
</div>


Full Stack Software Engineer - AI

Booz Allen Hamilton

<div>Machine Learning Engineer<p><b>
The Opportunity:</b></p><p>
Do you enjoy creating innovative solutions to complex challenges while working within a community of dynamic technology professionals? As an experienced data professional, you know that machine learning is critical to understanding and processing massive datasets. We need your technical expertise to support federal healthcare.</p><p></p><p>
As a machine learning engineer, you'll be responsible for breaking down use cases, designing, and implementing complex system modules, interfaces, and features. You'll leverage your technical expertise in AI. You'll develop new, robust, secure, and performant production-grade software. You&rsquo;ll use your communication skills to work with a team to build, test, and operate system capabilities.<br>
<br>
You&rsquo;ll leverage your expertise with full-stack web application development, experience with software design, and implementation on large codebases, and learn new languages, technologies, and codebases quickly. You will apply your expertise with AI - GenAI, Agentic AI, and LLMs, and work independently while collaborating with a team to build complex features, integrations, and modules. Your skills and extensive technical expertise will guide clients as they navigate the landscape of ML algorithms, tools, and frameworks. If you have the drive to solve real-world challenges and define ML strategy for healthcare in the federal government, there&rsquo;s a place for you here. At Booz Allen, you&rsquo;ll make a difference with us, and, in return, we&rsquo;ll invest in your future.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
2+ years of experience with machine learning engineering</p></li><li><p>
Experience with natural language processing and language models</p></li><li><p>
Experience with RAG and Generative AI techniques</p></li><li><p>
Experience with building agentic AI capabilities
</p></li><li><p>Experience with programming in Python, Java, or C++</p></li><li><p>
Top Secret clearance
</p></li><li><p>Bachelor's degree in Science, Technology, Engineering, or Mathematics</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience with developing software architectures with containerization tools, including Docker and Kubernetes</p></li><li><p>
Experience with machine learning, including linear, reinforcement learning, tree-based, or deep learning-based methods and regularization approaches</p></li><li><p>
Experience with databases, including SQL</p></li><li><p>
Experience with software development, including API development or database management, and model deployment and usage with JavaScript frameworks, including React, Angular, or Node.js</p></li><li><p>
Knowledge of AWS, Azure, and GCP</p></li><li><p>
Ability to work in a Linux environment with Bash Scripting</p></li><li><p>
Master's degree in Computer Science or Computer Engineering</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.</p><p></p>
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.<p></p><p><b>
Identity Statement</b></p><p>
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.</p><p></p><p><b>
Work Model</b><br>
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</p><ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</p></div><p></p>

Machine Learning Engineer

Agileana

<div><p><b>About the DCoE</b></p>
<p>
The Digital Center of Excellence (DCoE) is a new, fast-growing startup on a mission to elevate the global open-source digital ecosystem. We help digital professionals, agencies, suppliers, and product owners connect, collaborate, and access high-quality digital talent and resources.</p><p></p><p><br>
We are building a robust platform that combines AI, content intelligence, and marketplace dynamics to help our community thrive&mdash;and we&rsquo;re looking for ambitious, curious, entrepreneurial students and graduates to join us.</p>
<p><b>
Position Summary</b></p>
<p>
We are seeking a <b>tech-savvy, data-savvy, and AI-savvy Digital Marketing Intern</b> who is intellectually curious and passionate about growth. If you love digital marketing, social media, content creation, customer research, and analytics&mdash;and want to learn at startup speed&mdash;this internship is for you.</p><p></p><p><br>
You will help us:</p><br>
<p></p><ul>
<li>
Build and strengthen the DCoE brand</li>
<li>Grow our audience</li>
<li>Convert visitors into members</li>
<li>Conduct customer discovery</li>
<li>Launch high-impact digital marketing campaigns</li>
<li>Validate user needs and identify new product features</li>
<li>Drive explosive early growth for a high-potential SaaS platform</li></ul><br>
<p></p>
<p>
This is not a passive internship. You will experiment, analyze, create content, talk to users, test hypotheses, and learn how to build a real company.</p>
<p><b>
Key Responsibilities</b></p>
<p><b>
Digital Marketing &amp; Growth</b></p>
<ul>
<li>Support digital marketing campaigns across social media, SEO, email, AI-generated content, and paid channels</li>
<li>Develop and repurpose content for LinkedIn, Instagram, TikTok, Substack, and other platforms</li>
<li>Help manage the DCoE brand voice across all marketing assets</li>
<li>Conduct A/B tests to improve messaging, content performance, and member conversions</li>
</ul>
<p><b>Customer Discovery &amp; User Research</b></p>
<ul>
<li>Conduct surveys, outreach, and interviews with Drupal professionals, agencies, and product owners</li>
<li>Collect qualitative and quantitative data on user behavior</li>
<li>Synthesize insights to identify user needs, pain points, and desired features</li>
<li>Help map customer journeys and develop persona research</li>
</ul>
<p><b>Data &amp; Analytics</b></p>
<ul>
<li>Track website traffic and behavior using Google Analytics and other tools</li>
<li>Analyze membership funnel performance</li>
<li>Identify opportunities for growth and optimization</li>
<li>Prepare data dashboards and reports for leadership</li>
</ul>
<p><b>AI &amp; Technology Enablement</b></p>
<ul>
<li>Use AI tools to generate, enhance, or optimize content and campaigns</li>
<li>Explore new digital tools and automation opportunities</li>
<li>Assist with basic scripting, Python tasks, or database queries (preferred but not required)</li>
</ul>
<p><b>Community Engagement &amp; Outreach</b></p>
<ul>
<li>Engage with users on social media and online communities</li>
<li>Reach out to potential members, partners, or contributors</li>
<li>Hop on video calls when needed to speak to users or gather feedback</li>
<li>Represent the DCoE brand with curiosity and enthusiasm</li>
</ul>
<p><b>Ideal Candidate Profile</b></p>
<p>
You are:</p><br>
<p></p><ul>
<li>
A business, marketing, communications, data science, computer science, MIS, or related student (or recent graduate)</li>
<li>A fast learner who loves technology, startups, and digital marketing</li>
<li>Fearless in experimentation&mdash;willing to try, test, learn, and iterate</li>
<li>Genuinely curious about users and why they do what they do</li>
<li>Highly comfortable with social media and content creation</li>
<li>Analytical and able to interpret data to inform decisions</li>
<li>Entrepreneurial at heart&mdash;interested in SaaS, growth hacking, and innovation</li>
<li>Collaborative, proactive, and excited about building something meaningful</li>
</ul>
<p><b>Preferred Skills</b></p>
<p>
(Not required but strongly preferred)</p><br>
<p></p><ul>
<li>
Experience with social media platforms and content creation</li>
<li>Familiarity with SEO, keyword research, or content optimization</li>
<li>Basic programming knowledge (Python, scripting, SQL, APIs)</li>
<li>Understanding of AI tools (ChatGPT, Claude, Midjourney, etc.)</li>
<li>Experience with analytics tools (Google Analytics, Hotjar, Looker, etc.)</li>
<li>Interest in Drupal, open-source, web development, SaaS, or digital agencies</li>
</ul>
<p><b>What You&rsquo;ll Gain</b></p>
<ul>
<li>Hands-on experience building a real digital startup from the ground up</li>
<li>Exposure to high-growth marketing strategies, AI tools, and SaaS techniques</li>
<li>Experience in customer discovery, research, and product development</li>
<li>Ownership through our Employee Stock Ownership Plan (ESOP)</li>
<li>Mentorship from experienced founders in digital strategy and platform development</li>
<li>A standout portfolio of real projects, campaigns, and impact stories</li>
<li>The opportunity to help shape the future of the DCoE</li>
</ul>
<p><b>Ready to Grow Something Big?</b></p>
<p>
If you&rsquo;re ambitious, curious, and excited to work at the intersection of <b>digital marketing, AI, user research, and startup innovation</b>, we would love to meet you.</p>
<p><b>
Apply by sending us:</b></p><br>
<p></p><ul>
<li>
Your r&eacute;sum&eacute;</li>
<li>A brief note about why you&rsquo;re interested</li>
<li>Examples of content, writing, code, or creative work (optional but appreciated)</li></ul></div>

Digital Marketing Intern (Paid Internship)

Capgemini Engineering

<div><p><b>About the job you&rsquo;re considering</b></p><p>
The Release Engineer role contributes to the success of client's Enterprise Data &amp; Analytics Platform by owning, managing, facilitating, and executing releases across various environments, as well as coordinating across development teams and business stakeholders.</p><div><b>
Your role</b><br>
<ul><li>Plan, manage, and execute releases across all environments - from development to production</li><li>Identify technical and functional interdependencies between various tracks</li><li>Coordinate with all development pods and stakeholders across programs</li><li>Review application code, documentation, and perform pre/post deployment tasks</li><li>Define release process for new data engineering applications</li><li>Change management communication to all required stakeholders</li><li>Lead release cadence from Monday through Thursday</li><li>Execute release packages, step-by-step deployment guides, and command line instructions on production environment</li><li>Support project timelines, clearly setting expectations, and realigning expectations internally as priorities change</li><li>Develop a sound understanding of client&rsquo;s needs: data conversion and migration requirements, environment management and build processes, deployment planning and execution, solution designs, systems integrations, technical architectures, and infrastructure architectures.</li></ul></div><div><b>
Your skills and experience</b><br>
<ul><li>Execute deployment scripts and step-by-step instructions in test and production environments</li><li>Comfortable with Command Line Interfaces</li><li>Understanding of CI/CD, Git branching, packaging and DevOps pipelines</li><li>Working knowledge of data warehousing and reporting technologies: Azure, Databricks, Unity Catalog, Python, Spark, PySpark, Airflow, MicroStrategy, Tableau</li><li>Nice to have: Scala, Java, and Angular</li></ul>
Leadership and Communication Strengths<br>
<ul><li>Strong problem-solving and analytical skills</li><li>Has the ability to know what is possible and what is not, and to know how to navigate project engagements efficiently and effectively</li><li>Ability to engage in difficult conversations that result in positive, actionable outcomes</li><li>Ability to navigate complex and diverse landscapes effectively</li><li>Ability to communicate clearly and concisely, both verbally and in writing
</li></ul></div><p><b>Life at Capgemini</b></p><p>
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:</p><ul><li>
Flexible work</li><li>
Healthcare including dental, vision, mental health, and well-being programs</li><li>
Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li><li>
Paid time off and paid holidays</li><li>
Paid parental leave</li><li>
Family building benefits like adoption assistance, surrogacy, and cryopreservation</li><li>
Social well-being benefits like subsidized back-up child/elder care and tutoring</li><li>
Mentoring, coaching and learning programs</li><li>
Employee Resource Groups</li><li>
Disaster Relief</li></ul><p><b>
About Capgemini</b></p><p>
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to<br>
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p><p>
Get the future you want | www.capgemini.com</p><p><b>
Disclaimer</b></p><p>
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.</p><p>
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.</p><p>
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.</p><p>
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.</p><p>
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law</p><p>
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.</p><br>
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is &amp;140,000 - $150,000. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</div>
<br><div><div><div><div>Ref. code</div><div>
082424</div></div><div><div>
Posted on</div><div>
03 Dec 2025</div></div><div><div>
Contract type</div><div>
Regular</div></div><div><div>
Location</div><div>
Washington</div></div><div><div>
Business unit</div><div>
I and D Global Business Line</div></div><div><div>
Department</div><div>
I and D Global Business Line</div></div><div><div>
Brand</div><div>
Capgemini</div></div></div></div><p></p>

Data Platform Release Engineer

DataRobot

<div><div>Job Description:</div><div></div><div>
DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business &mdash; today and in the future.</div><div></div><div>
We're seeking an inspirational and strategic Senior Director of Product Design to define the future of the DataRobot platform and scale our world-class design organization.This is a pivotal role for an experienced leader who can drive organizational excellence, establish platform-wide design standards, and operate as a key executive partner across Product, Engineering, and Business Development. The ideal candidate has deep expertise in managing large design teams within an enterprise B2B software environment, along with practical knowledge of the AI/ML domain and emerging agentic AI workflows.</div><div></div><div>
What You Will Be Doing: This role moves beyond product-level execution to focus on organizational structure, cross-domain alignment, and strategic influence across the entire company.</div><ul><li><div>
Design Vision and Standards (Platform-Wide): Articulate the overarching design vision, standards, and operating model for the entire Product Design team, ensuring processes and team structure are optimized to drive platform-wide experience consistency and business outcomes.</div></li><li><div>
Organizational Health &amp; Scaling: Take responsibility for the overall organizational structure, talent acquisition, and professional development of the design team. Ensure the team has the necessary skills, structure, and headcount to deliver a world-class experience across the entire DataRobot product portfolio.</div></li><li><div>
Cross-Domain Alignment: Drive and own alignment across major product domains (e.g. build, govern and deploy capabilities), ensuring all product areas contribute harmoniously to a cohesive and elegant end-to-end user experience.</div></li><li><div>
Strategic Design Practice Development: Act as a recognized thought leader in the ML/AI design space, defining and driving the strategic development of core design practices, the centralized design system, and global research operations.</div></li><li><div>
Executive Advocacy and Influence: Represent Product Design to the executive leadership team and advocate for design thinking as a core process to solve complex business and technical challenges across all company capabilities.</div></li><li><div>
Business Impact: Accountable for demonstrating the impact of design initiatives on key business metrics, such as user adoption, usage frequency, and customer retention, ensuring design creates a sustainable competitive advantage for DataRobot.</div></li></ul><ul><li><div>
Design Culture &amp; Identity: Actively shape the design team's identity and culture, fostering an inclusive, high-performing environment that attracts and retains top talent.</div></li><li><div>
Mentorship and Growth: Cultivate the growth and career paths of design leaders (Directors and Principal Designers), ensuring they are equipped to scale their respective teams and product areas.</div></li><li><div>
Company Values: Model and champion DataRobot&rsquo;s core values, proactively contributing to cross-domain team culture and company-wide strategic initiatives.</div></li></ul><div></div><div>
Ideal candidate:</div><ul><li><div>
Experience: 10+ years of experience in Product Design, with at least 3+ years in senior management (Director level or above) overseeing large, distributed, and multi-disciplinary design teams.</div></li><li><div>
Domain Expertise: Proven track record leading design for complex enterprise B2B software and a strong, practical understanding of AI/ML workflows and challenges.</div></li><li><div>
Organizational Leadership: Demonstrated success in structuring, scaling, and optimizing a design team for maximum business impact and experience quality.</div></li><li><div>
Communication: Exceptional ability to communicate and negotiate design strategy, resource allocation, and trade-offs with C-level and VP-level Product and Engineering partners.</div></li><li><div>
Education: Bachelor&rsquo;s or Master&rsquo;s degree in Design, HCI, or a related field.</div></li></ul><div></div><div>
What will make you stand out: This isn't a strategy or people-management only role. We need a maker, a doer, a leader&mdash;someone who loves to partner and can lead through the work.</div><ul><li><div>
Lead by doing: You set the standard for excellence and inspire teams to deliver their best work. You've shipped great software in ambiguous, fast-moving environments and know how to build momentum when the path isn't clear. You create the conditions for high performance and help teams navigate complexity with confidence.</div></li><li><div>
Obsess about the details: Strong visual acuity matters. You know what great experiences look and feel like, and you can articulate how teams can get there. You demonstrate product sense in everything you touch.</div></li><li><div>
Use AI to accelerate delivery: You actively use AI design and development tools in your workflow&mdash;whether for design exploration, prototyping, content generation, or code assistance. You've demonstrated how AI can compress timelines, elevate quality, and help teams work smarter. You're comfortable experimenting with new AI capabilities and teaching others how to integrate them effectively into their practice.</div></li><li><div>
Understand code-first workflows: You have experience designing for technical, code-first platforms that blend CLI, API, and UI touchpoints. You think holistically about the user experience&mdash;understanding that great design spans visual interfaces, developer tools, documentation, and workflows. You know how to create cohesive experiences that serve both users who prefer code and those who need graphical interfaces.</div></li></ul><div></div><div>
The talent and dedication of our employees are at the core of DataRobot&rsquo;s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees&rsquo; well-being at the core. Here&rsquo;s what your benefits package may include depending on your location and local legal requirements: Medical, Dental &amp; Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!</div><div></div><div>
DataRobot Operating Principles:</div><ul><li>
Wow Our Customers</li><li>
Set High Standards</li><li>
Be Better Than Yesterday</li><li>
Be Rigorous</li><li>
Assume Positive Intent</li><li>
Have the Tough Conversations</li><li>
Be Better Together</li><li>
Debate, Decide, Commit</li><li>
Deliver Results</li><li>
Overcommunicate</li></ul><div><br>
Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We&rsquo;d love to have a conversation with you and see if you might be a great fit.</div><div></div><div>
DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor&rsquo;s EEO poster and EEO poster supplement for additional information.</div><div></div><div>
All applicant data submitted is handled in accordance with our <div>Applicant Privacy Policy</div>.</div></div>

Senior Director of Product Design

<p> FM is one of the world's largest risk management and industrial property insurance organizations. With 76 office locations in over 60 countries worldwide, FM provides specialized property protection to over one third of the FORTUNE 1000 companies as well as leading international corporations. A new Field Engineer at FM will learn to engineer risk management solutions from experienced mentors and a community-based work culture. The network of 1,900 loss prevention engineers, with backgrounds in physical engineering and fire protection, provide their clients with the benefit of FM's superior financial strength, policy coverage, and data-driven consulting. </p><p> </p><p> At FM you have the power to influence outcomes and make a difference in the future of your clients. When you join our team at FM, you can leverage your engineering background to help clients neutralize potential disaster such as fires, explosions, earthquakes, floods, and many others. </p><p> </p><p> What makes FM unique is our culture of camaraderie with colleagues and clients, the challenging work, and the excitement of being part of a successful organization. We believe in a supportive work/life environment and encourage our employees to participate in our total rewards benefit program, including a pension program. </p><p> </p><p> As a Seattle area-based Consultant Engineer, you will have opportunities to travel to the following states: California, Oregon, Washington, Utah, Nevada, Montana, Idaho, Wyoming, and Alaska. </p><br><p> If you enjoy variety, put your time-management and organizational skills to use handling field visits, office work, and projects for large commercial occupancies and hazards. You will work with minimal supervision and must be capable of working independently. You will also have the resources to build a rewarding career at FM including a structured hands-on training program. </p><p> </p><p> Initially, assignments will be of limited scope and complexity giving you the opportunity to learn. You will gradually begin assessing risks at larger complex commercial properties by visiting client facilities and performing evaluations that accurately quantify foreseeable physical and human element exposures while working with client on-site risk management. </p><p> </p><p> Responsibilities will include: </p><ul><li> Perform <em>hands-on </em>site assessments of the physical property, including roofs </li><li> Conduct evaluations which include, but are not limited to, site water supplies, dust hazards, chemical storage, and rack storage arrangements for client products </li><li> Ensure that FM Engineering Standards are followed and, as necessary communicate the appropriate recommendations and/or engineering solutions to clients </li><li> Working from a home office and travel to clients' facilities daily (overnight travel is expected approximately 30% of the time) </li></ul><br><p> Based on a candidate's previous experience, this role can be for either a Consultant Engineer I or Consultant Engineer II. Successful Consultant Engineer candidates have the following qualifications: </p><ul><li> Minimum of a bachelor's degree in engineering (various specialties considered) </li><li> Zero to five years of industry experience </li><li> Strong verbal and written communication skills </li><li> Good analytical, organizational, problem solving, and interpersonal skills </li><li> Efficient time management ability with minimal supervision </li><li> Solid technical aptitude including diverse knowledge of engineering principles </li><li> Ability to stay focused from a home office environment </li><li> Authorization to work in the country you are applying to work in </li><li> Physical ability to lift 25 pounds, able to climb ladders, balance, and deal with heights </li><li> Proficiency in MS Office products </li><li> A valid driver's license </li></ul><p> </p><p> </p>

Consultant Engineer I - Seattle

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