Director of Engineering - Data Platform

🏢 Summary: Design Lead role owning end-to-end product design for an early-stage, data-dense enterprise platform focused on data lineage and migration impact analysis in regulated environments. The position combines product thinking and hands-on design to translate complex technical workflows into clear, trustworthy experiences for both technical users and senior stakeholders. You will shape product direction, build a scalable design system, and leverage AI across the design lifecycle. 🗂️ Requirements: Senior or lead-level product design experience in enterprise or B2B SaaS environments, Proven experience designing complex, data-dense interfaces (dashboards, graphs, visualizations, enterprise tools), Strong product thinking with influence on product direction and prioritization, End-to-end ownership of a design system including components, standards, and adoption, Experience collaborating closely with product and engineering teams from concept to launch, Experience building or establishing a design function or standards from scratch, Demonstrated use of AI in practical design workflows, Authorization to work in the U.S. without visa sponsorship, Residence in an eligible U.S. state 📃 Skills: UX, UI, ProductDesign, DataVisualization, InformationDesign, DesignSystems, Prototyping, UserResearch, SaaS, B2B, AI, Dashboards, GraphVisualization 🏢 Description: Own product design for an early-stage, data-dense platform built for regulated enterprises. We are hiring a Design Lead to own product design for a perimeter-safe data lineage and migration impact-analysis platform for regulated enterprises. This is a real, working product becoming a standalone business. This is a build. This is not a pure UI/UX role. You will think like a product manager, start from the customer problem, help shape what we build and why, and make complex technical information clear and trustworthy. Quick Facts - Early-stage, standalone product build - Focus on regulated enterprises - Data lineage and migration impact-analysis platform What You'll Work On - Own the end-to-end product design vision for a data-dense enterprise platform. - Translate complex lineage, migration impact, governance, and blast-radius workflows into clear, navigable product experiences. - Partner closely with Product and Engineering to define what gets built, for whom, and why. - Design for two audiences at once: technical users who need depth and senior stakeholders who need confidence in decisions. - Build and maintain the design system, set the quality bar, and create repeatable standards for future product surfaces. - Run user discovery and research; turn what you learn into product direction, design decisions, and prioritization input. - Use AI across the design workflow, including research synthesis, ideation, prototyping, iteration, and productivity. What You'll Bring - Senior or lead-level product design experience in enterprise, B2B SaaS, or similarly complex product environments. - Strong product thinking; experience influencing what gets built and why. - A portfolio with complex, data-dense interfaces made simple: dashboards, graphs, visualizations, technical workflows, or enterprise tools. - Strong information-design and data-visualization instincts. - End-to-end ownership of a design system, from components and standards through adoption and maintenance. - Fluency working directly with product and engineering teams, taking ideas from zero to shipped. - Experience building a design function, practice, or product design standard from scratch. - AI fluency, with concrete examples of AI use in real design work and measurable results. How You Work - Customer-problem first mindset. - Player-coach approach: hands-on while setting quality standards. - Ability to operate in ambiguity and define direction with incomplete information. - Ability to raise the design bar while maintaining delivery speed. Bonus Points - Experience designing for technical users such as developers, data engineers, analysts, or platform teams. - Familiarity with lineage, graph visualization, data governance, migration impact analysis, or metadata products. - Exposure to regulated-industry products such as financial services, insurance, healthcare, or government. What Success Looks Like - Product experience makes complex lineage and impact information easier to understand, trust, and act on. - Clear design vision and practical design system adopted by the team. - User research informs product decisions. - Trusted partnership with Product, Engineering, and business stakeholders. Additional Requirements - Applicants must be authorized to work for any employer in the U.S.; no visa sponsorship available. - Candidates must reside in one of the specified U.S. states to be eligible for consideration.

🏢 Summary: Technical pre-sales role focused on leading discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform sold to regulated enterprises. You will assess complex legacy and modern data estates, map migration blast radius, address technical objections, and scope engagements through handoff to delivery. This is a 0-1 environment requiring strong data stack expertise and AI-first productivity. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience selling data or platform software to enterprise or regulated customers, 5+ years experience across modern and legacy data stack (ETL/ELT, warehouses, lakehouses, BI, lineage, governance), Ability to independently run end-to-end POCs on real customer environments, Experience leading technical discovery with data and platform stakeholders, Proficiency using AI tools to enhance discovery, analysis, demos, and POCs, Hands-on knowledge of platforms such as Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, Authorization to work for any employer in the U.S. 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are seeking a Data Solutions Engineer / Architect to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative, client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Technical pre-sales role owning discovery, demos, and end-to-end POCs for a data lineage and migration impact-analysis platform serving regulated enterprises. You will map complex data estates, quantify migration blast radius, address technical objections, and translate customer risk into actionable scope for delivery. This is a 0–1 environment where the SE-led POC is the primary driver of winning deals. 🗂️ Requirements: 3+ years technical pre-sales or solutions engineering experience, 5+ years experience across modern and legacy data stacks, Hands-on ability to lead and execute end-to-end POCs, Experience selling data or platform software to enterprise or regulated buyers, Fluency with ETL/ELT, data warehouses, lakehouses, BI, lineage, and governance tools, Proficiency using AI tools to enhance productivity and sales execution, Ability to engage both technical teams and senior business stakeholders, Authorization to work in the U.S. without sponsorship, Residence in an eligible U.S. state 📃 Skills: ETL, ELT, Talend, Informatica, DataStage, Snowflake, Databricks, Teradata, dbt, BI, DataLineage, DataGovernance, Azure, AWS, AI 🏢 Description: About FormativGroup FormativGroup helps enterprise organizations modernize, migrate, and govern complex technology environments. As part of that mission, we are building a data lineage and migration impact-analysis platform designed for highly regulated industries including financial services, insurance, healthcare, and government. Our platform helps organizations understand dependencies, identify migration risk, and visualize the downstream impact of change before transformation initiatives begin. We combine software, consulting expertise, and delivery services to help clients modernize with confidence. This is an opportunity to join early and help shape both the product and the go-to-market motion as the platform grows into a standalone business. The Opportunity We are seeking a Data Solutions Engineer / Architect to serve as the technical lead throughout the customer evaluation process. You will partner with prospective clients to understand their data ecosystem, demonstrate the platform's capabilities, lead technical assessments, and guide proof-of-concept engagements that validate business value and technical fit. This is a highly consultative, client-facing role that combines data architecture, solution engineering, and pre-sales experience. What You'll Do Lead technical discovery sessions with data, analytics, architecture, and platform leaders. Assess customer environments and identify data migration risks, dependencies, and lineage challenges. Demonstrate platform capabilities and articulate business value to both technical and executive audiences. Own proof-of-concept (POC) engagements from planning through successful completion. Design solution approaches that address customer modernization, governance, and migration objectives. Respond to technical questions and objections regarding architecture, security, governance, lineage, and platform capabilities. Collaborate closely with FormativGroup delivery teams to ensure a seamless transition from sales to implementation. Provide customer feedback that influences product direction, roadmap priorities, and platform enhancements. What You'll Bring 3+ years of experience in Solutions Engineering, Sales Engineering, Technical Pre-Sales, Solutions Architecture, or a similar client-facing technical role. 5+ years of experience working with modern and legacy data ecosystems. Strong understanding of ETL/ELT technologies such as Informatica, Talend, DataStage, or similar platforms. Experience with modern data platforms including Snowflake, Databricks, Teradata, Microsoft Fabric, Azure, AWS, or related technologies. Knowledge of data governance, metadata management, data lineage, and data modernization initiatives. Ability to lead technical workshops, solution discussions, demonstrations, and proof-of-concept engagements. Strong communication skills with the ability to engage both technical teams and executive stakeholders. Ideal Experience Data Architecture Data Engineering Data Governance Data Migration & Modernization Data Lineage & Metadata Management Enterprise Analytics Platforms Cloud Data Platforms Regulated Industry Environments How You Work You thrive in environments where processes are still being built and improved. You enjoy helping shape products, solutions, and go-to-market motions. You are comfortable operating with ambiguity and helping define the path forward. You approach customer challenges with curiosity, structure, and a problem-solving mindset. AI Fluency We believe AI should enhance productivity, analysis, and customer outcomes. Successful candidates will be comfortable leveraging AI tools to improve research, discovery preparation, solution analysis, demonstrations, documentation, and customer engagement activities. During the interview process, we may ask for examples of how you have successfully incorporated AI into your professional workflow. Nice to Have Experience supporting financial services, insurance, healthcare, or public sector organizations. Background in large-scale data migration or modernization programs. Familiarity with Collibra, Alation, Data Vault, metadata management, or enterprise governance platforms. Knowledge of regulatory frameworks such as BCBS 239, DORA, or similar governance and compliance requirements. Experience with Azure or AWS deployments within customer-controlled environments. Location The location preferred for this remote with 25% travel. Thw ideal candidate will reside in In or near to Austin, TX. US candidates will be considered.Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa now or in the future. To be considered for this position, candidates must reside in one of the following U.S. states: AL, AR, AZ, CA, CO, CT, DE, FL, GA, IA, ID, IL, IN, KS, MA, MD, MI, MN, MO, NC, NH, NJ, NV, NY, OH, OK, OR, PA, TN, TX, VA, WI, and Washington DC. Candidates residing outside these states are not eligible for consideration currently. We are committed to pay equity and transparency. The compensation range for this position represents our good faith estimate of the range we reasonably expect to pay for this role at the time of posting. The actual compensation offered will be determined based on factors such as the candidate's experience, skills, education, work location, and internal equity. In addition to base pay, employees may be eligible for discretionary bonuses, commissions, or other incentive programs, as well as a comprehensive benefits package that includes medical, dental, vision, 401(k), paid time off, etc. Estimated Compensation Range:$150,000—$185,000 USDFormativGroup operates within the critical middle layer of business technology, where applications and systems connect infrastructure to business processes. We are specialists who help the middle market take full advantage of their technology investments with deep, industry-centric expertise, all in one place, to unify fragmented systems. With deep technical expertise across cloud architecture, system integration, AI, and data strategy, we bridge the gap between business goals and modern platforms. FormativGroup is an equal opportunity employer providing opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. ADA Specifications: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position. #formativgroupcareers #WorkWithUs Click here to view our Privacy Policy

🏢 Summary: Senior Director, Data Platform and Engineering role leading a global data and analytics engineering team to build and scale a secure, AI-enabled data platform. Responsible for owning the end-to-end data lifecycle, strengthening governance and security, and delivering scalable data foundations that power AI/ML initiatives. Combines hands-on technical leadership with strategic oversight to ensure high-quality, trusted data across the organization. 🗂️ Requirements: 10+ years experience in data platform and data engineering, 5+ years in data engineering leadership role, Experience building data foundations for AI and ML initiatives, Deep knowledge of modern data stacks and data warehousing, Hands-on experience with ETL/ELT pipelines and data modeling, Proficiency in Python and SQL, Experience with cloud data platforms (AWS, GCP, or Azure), Experience implementing data governance and security controls, Experience supporting regulatory compliance (e.g., FedRamp), Proven experience leading and scaling data engineering teams 📃 Skills: Python, SQL, AWS, GCP, Azure, ETL, ELT, AI, ML, Tableau, FedRamp, Datawarehousing, Datamodeling, Governance 🏢 Description: Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The Technology, Data, and Intelligence Team Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work. The Opportunity Okta is seeking a visionary and results-driven Senior Director, Data Platform and Engineering to lead a global data and analytic engineering team ensuring our data assets are leveraged to their full potential. Reporting to the VP of Data and Insights this role requires a leader who is as comfortable with a technical deep dive as they are with a strategic business discussion. You will be a "player-coach" who can build and mentor a world-class team while personally driving strategic initiatives and ensuring the integrity of our data foundation. A core part of your responsibility will be to champion and enable our AI strategy and technical foundations, ensuring that clean, trusted, and well-governed data is the foundation for all AI initiatives. With the growth of AI in our Products and our business, Okta’s data is more critical to our success than ever. This role will make sure we continue to support the organization run and grow, while building out the platform for the future. Candidates should be energized by that challenge. What You'll Do Lead and Inspire a High-Performing Team: Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning. Champion AI Enablement: Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models. Advance the Data Foundation: Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization. Enhance Data Security and Governance: Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies. Partner Cross-Functionally: Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development. What You Bring Experience: 10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role. AI Know How: Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives. Technical Expertise: Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure). Governance: Proven ability to build secure solutions for both commercial and public sectors. Experience with FedRamp and the public sector cloud strongly preferred. Cross-Functional Collaboration: Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences. Team Development: A track record of successfully hiring, mentoring, and leading high-performing data teams. Problem-Solving: A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach. #LI-MC1 #LI-Hybrid #P14112_3419375The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $276,000—$379,500 USDBelow is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us. The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:$246,000—$338,800 USDThe Okta Experience Supporting Your Well-Being Driving Social Impact Developing Talent and Fostering Connection + Community We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.

🏢 Summary: Strategic Technical Product Manager (Data & AI) role owning the roadmap for customer-facing AI/ML models and data products in a SaaS environment. You will partner with executive clients to co-develop predictive features, translate business problems into technical specifications, and launch high-impact analytics solutions. This role sits at the intersection of data science, engineering, and go-to-market execution, driving measurable ARR growth. 🗂️ Requirements: 3+ years experience in Product Management, Data Analytics, or Data Engineering, Strong SQL skills (joins, aggregations), Experience with modern BI platforms (Sigma, Tableau, or Looker), Ability to translate business problems into technical data requirements, Experience working with AI/ML models or advanced analytics features, Strong understanding of SaaS product metrics and customer ROI 📃 Skills: SQL, Sigma, Tableau, Looker, Snowflake, DBT, Fivetran, Python, R, AI, ML, SaaS, Analytics, Data, Visualization 🏢 Description: We aren’t just looking for someone to manage a backlog; we’re looking for the founding architect of our customer-facing data and AI strategy. As a Technical Product Manager (Data & AI), you will sit at the intersection of Data Science, Engineering, and customer-facing value. This is a highly visible, strategic role where you’ll partner directly with executive-level clients to co-develop predictive models, analytical features, and SaaS data products. WHAT YOU'LL DO Shape the AI & Data Vision - Own the predictive roadmap for external AI/ML models, advanced analytics features, and data products - Co-innovate with strategic customers and design partners to validate ideas and uncover user needs - Partner with UX and Data Science to translate complex algorithms into intuitive data visualizations and impactful demos Execute & Ship with Impact - Translate customer business problems into technical specifications, transformation logic, and data requirements - Collaborate with Product Marketing and Sales to launch features that drive adoption, retention, and ARR expansion - Use data analysis to validate assumptions and test product hypotheses before development WHAT YOU’LL BRING - 3+ years of experience in Product Management, Data Analytics, or Data Engineering - Strong business and product acumen with ability to connect technical features to customer ROI - SQL fluency, including writing joins and aggregations - Experience with modern BI platforms such as Sigma, Tableau, or Looker - Ability to communicate effectively with executive clients, sales teams, engineers, and data scientists NICE TO HAVE - Experience with modern data stack tools such as Snowflake, DBT, Fivetran, and Sigma - Familiarity with Python or R for lightweight data analysis - Exposure to machine learning lifecycle or productionized models - Experience in complex B2B SaaS industries BENEFITS - Health and dental insurance - 401k with company match - Flexible Time Off or generous PTO plan - Paid holidays and up to 4 weeks paid bonding leave - Tuition reimbursement - Employee Assistance Program - 24/7 virtual medical care access

🏢 Summary: Leadership role responsible for defining and delivering AI-driven product strategy and roadmap, including embedded and standalone AI capabilities. The position leads a team of product managers and collaborates cross-functionally to build scalable AI observability and security solutions. Focused on driving innovation, data-driven decision-making, and measurable business impact through AI products. 🗂️ Requirements: Proven experience in AI product management, Track record of delivering AI-driven products, Deep knowledge of AI and machine learning, Strong understanding of data science concepts, Experience leading and mentoring product managers, Experience managing complex product roadmaps, Experience collaborating with engineering and data science teams, Ability to drive data-driven product strategy, Experience managing large-scale AI initiatives 📃 Skills: AI, MachineLearning, DataScience, Analytics, Observability, Security, SaaS, ProductManagement, Roadmapping 🏢 Description: The Applied AI Products organization at Datadog is responsible for delivering AI-driven solutions that power the next generation of our product offerings. We are looking for a Director of Product Management to lead and shape the roadmap and delivery of AI-driven product capabilities at Datadog. In this role, you will bring a combination of technical expertise, product management experience, and an understanding of AI technologies to help position Datadog as a leader in the AI observability and security space. You will lead a team of product managers and collaborate with senior leadership in engineering and design. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Own the vision and strategy for AI-driven products, ensuring alignment with overall company goals and customer needs. This will include managing our embed program to enhance the capabilities of existing products as well as developing dedicated and independent AI products. Lead and mentor a team of product managers, helping them grow and advance their careers while ensuring the delivery of high-quality, AI-powered features. Collaborate with cross-functional teams including engineering, data science, marketing, and sales to deliver AI product solutions that meet customer needs and business objectives. Identify new opportunities for AI product innovation and drive them from concept to execution, ensuring they have a measurable impact on our customers and the business. Work closely with customers and stakeholders to deeply understand their pain points, ensuring that AI solutions are delivering tangible value and solving real-world problems. Define AI product roadmaps and manage the prioritization of features and initiatives to ensure the team’s efforts are aligned with business goals. Drive a culture of data-driven decision-making by working closely with data science and analytics teams to inform product strategy and validate assumptions. Promote a product-first mindset across the organization, ensuring that the user experience and business value are central to every product decision. Foster a culture of innovation and excellence in AI product development, ensuring that Datadog remains a leader in AI-powered observability and security solutions. Who You Are: You have proven experience in AI product management, with a track record of successfully leading the development and delivery of AI-driven products and solutions. You have deep technical knowledge of AI technologies and a strong understanding of machine learning, data science, and related fields, with the ability to translate these capabilities into compelling product experiences. You have successfully led product teams, including mentoring and developing product managers, while balancing the need for leadership and hands-on execution. You are skilled at prioritizing and delivering complex product roadmaps, balancing short-term needs with long-term strategic goals. You are experienced in collaborating with cross-functional teams, including engineering, design, data science, and business stakeholders, to deliver high-impact AI products. You have a customer-first mindset, always striving to understand and solve customer pain points through innovative AI-driven solutions. You are a strong communicator and influencer, capable of building relationships with senior leadership, engineering teams, and external stakeholders to drive alignment and move initiatives forward. You have a proven ability to manage large-scale AI product initiatives, balancing technical feasibility, user experience, and business impact. If you’re passionate about shaping the future of AI products and driving innovation at scale, we’d love to hear from you! Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That’s okay. If you’re passionate about technology and want to grow your experience, we encourage you to apply. Benefits & Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intra-departmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds Access to Inclusion Talks, our Internal panel discussions Free, global Spring Health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.Datadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$300,000—$385,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Hands-on Head of Software Engineering role responsible for leading full-stack architecture, development, and delivery of a consumer lending platform across Angular, Java/Spring Boot microservices, and AWS. The position combines technical leadership, system architecture ownership, and team management in a high-availability, regulated fintech environment. The role requires driving architectural simplification, CI/CD maturity, and adoption of AI-assisted development practices. 🗂️ Requirements: 10+ years of software engineering experience, 5+ years in senior engineering leadership role, Strong Java and Spring Boot experience, Experience with Angular or modern front-end frameworks, Experience designing microservices and REST APIs, Experience with relational databases, Hands-on AWS infrastructure experience (EC2, S3, SQS, CloudWatch, CodeBuild), Ownership of CI/CD pipelines in production environments, Experience with high-availability distributed systems, Experience conducting architecture and code reviews, Experience simplifying complex architectures, Bachelor’s degree in Computer Science or related field, Residence in Texas within commuting distance to DFW, Authorization to work in the United States 📃 Skills: Java, Spring, SpringBoot, Angular, AWS, EC2, S3, SQS, CloudWatch, CodeBuild, REST, Microservices, MVC, SQL, CI/CD, GitHub, Bitbucket, AI, Copilot, LLM 🏢 Description: Title: Head of Software Engineering Function: Technology Reports to: Chief Growth & Strategy Officer Level: Director Location: Addison, TX (4 days/week in-office required) Please note: This position is open to candidates within commuting distance to the DFW metro area only. Applicants must reside in Texas and be authorized to work in the United States. Applications from candidates outside of Texas will not be considered at this time. While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. WHO WE ARE Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech-enabled consumer credit products that combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. Our next-generation approach to lending reduces credit barriers and creates a Path to Prime® — helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Braviant has been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. We are a lean team of approximately 40 people who move fast and hold ourselves accountable for real outcomes. Everyone here rolls up their sleeves — including this role.POSITION SUMMARY Braviant is looking for a hands-on engineering leader to own our full-stack application development function. You will serve as both the primary software architect and the engineering manager for a team of 6–8 full-stack developers and QA engineers, responsible for our consumer lending platform across its full lifecycle — from front-end Angular interfaces to back-end Java/Spring Boot services to cloud infrastructure on AWS. This is not a purely managerial role. We expect you to stay deeply technical: conducting architecture and code reviews, prototyping solutions, and being the person the team turns to when the hardest problems surface. You will bring the judgment to assess our current architecture — a complex, 30+ microservice environment — and develop and execute a pragmatic plan to simplify it and reduce release friction over time. This role is Addison, TX-based with a 4-day in-office requirement. The team is currently based primarily in Chicago and it might require up to 20% of travel initially. You will be the on-the-ground engineering leader helping establish the engineering culture. WHAT YOU’LL OWN Architecture & Technical Leadership Serve as Braviant’s primary software architect — owning system design, technology choices, and engineering standards across all application layers. Assess the current architecture (30+ microservices, Java/Spring Boot back end, Angular front end, AWS) and develop a pragmatic rationalization roadmap to reduce complexity and improve deployability. Stay close to the codebase: lead architecture reviews, conduct meaningful code reviews, and prototype solutions to de-risk key technical decisions. Own high-availability design for loan origination, payment processing, and transaction workflows, targeting 99.9%+ uptime SLAs. Define and evolve CI/CD pipeline strategy, release practices, and engineering quality standards. AI-Native Development Transformation Lead the transition to an AI-native development model — embedding AI-assisted development tools (e.g. GitHub Copilot, Cursor, agentic coding frameworks) into how the team designs, builds, tests, and ships software every day. Partner with the Head of AI & Automation to identify where AI-generated code, automated testing, and LLM-powered tooling can meaningfully accelerate delivery and reduce QA burden. Champion engineering practices that make AI tooling safe and auditable in a regulated consumer lending environment. Engineering Delivery Own end-to-end software development for consumer-facing and internal applications — from requirements through deployment and support. Manage the full stack: Angular front end, Java/Spring Boot microservices, AWS infrastructure (EC2, S3, SQS, CloudWatch, CodeBuild), and database layers. Own the QA function within the engineering team; define the right balance of automated testing, manual QA, and release gates. Champion security-by-design and compliance standards appropriate to a consumer lending environment (PCI, state lending regulations, CFPB-related requirements). Team Leadership & Culture Lead, develop, and retain a team of 6–8 full-stack engineers and QA professionals; set performance standards, provide mentorship, and build a culture of craftsmanship and accountability. Hire and grow the Addison-based engineering team — you will be the anchor for that office’s technical culture. Manage the engineering budget, including capex/opex planning, vendor relationships, and tooling decisions. Partner with business stakeholders and executive leadership to translate product and operational priorities into engineering plans; represent engineering at the leadership level. WHAT YOU’LL BRING Required 10+ years of software engineering experience, including at least 5 years in a senior engineering leadership role (Director, Head of Engineering, or equivalent). Deep full-stack background: strong Java/Spring Boot on the back end, experience with Angular or equivalent modern front-end frameworks, and solid command of relational databases and API design (REST, microservices, MVC). Proven software architect — you have designed production systems, made technology bets that paid off, and course-corrected ones that didn’t. Experience rationalizing or simplifying over-engineered architectures: you can diagnose why a system became complex, build stakeholder alignment around a simplification plan, and execute it without breaking production. AWS cloud infrastructure ownership: EC2, S3, SQS, CloudWatch, CodeBuild, and related services — configuration, architecture, and operations. CI/CD pipeline ownership at production scale; strong branching, review, and release practices using GitHub, Bitbucket, or equivalent. Experience with high-availability, distributed systems in a real-time transaction processing environment. Engineering budget ownership: capex/opex planning, vendor management, and resource allocation. Demonstrated ability to hire, develop, and retain engineering talent in a competitive market. Comfortable in a lean, startup-style environment with heavy workloads, competing priorities, and ambiguity — this is not a role for someone who needs a large support structure. Bachelor’s degree in Computer Science or a related field; Master’s a plus. Preferred Hands-on experience building with AI-native development tools or frameworks (GitHub Copilot, Cursor, agentic coding pipelines, LLM-assisted test generation). Experience in consumer lending, fintech, payments, or another regulated financial services technology environment. Familiarity with MCP integrations, agentic AI architectures, or building internal developer productivity platforms. Formal software architecture or cloud certification (e.g., AWS Solutions Architect). BENEFITS & PERKS Compensation at Braviant is competitive and commensurate with experience. Details will be discussed with qualified candidates during the interview process. In addition, we provide: Comprehensive healthcare including medical, dental, and vision coverage Generous paid time off, including PTO, sick time, and 13 company holidays 401(k) with company contribution Participation in annual discretionary bonus plan Regular team and company gatherings Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law.

🏢 Summary: Design and build a modern Data Platform from scratch for an insurance client, establishing a governed, production-ready Snowflake environment and enabling AI capabilities. The role covers full lifecycle ownership from architecture and data modelling to pipeline implementation and post-launch operations. You will develop scalable data ingestion and processing solutions while promoting best practices, automation, and CI/CD standards. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (Snowflake, BigQuery or Redshift), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design, Experience with cloud platforms (AWS, GCP or Azure), Experience with cloud data services (S3, GCS, ABS, EMR, Dataproc, MWAA, Composer, ADF or AWS Glue), Ability to design and maintain data quality and governance standards, Experience working in Agile environments 📃 Skills: Python, SQL, Snowflake, Databricks, BigQuery, Redshift, Azure, AWS, GCP, Terraform, dbt, Spark, PowerBI, ADF, Glue, EMR, Dataproc, MWAA, Composer 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project JetBrains Projectt scope The client is introducing Atlan as a new internal Data Catalogue solution and uses Glean as a company-wide unified search platform for thousands of employees. To ensure a smooth transition from our existing Knowledge Base and OpenMetadata setup, we need to index Atlan assets into Glean so that metadata for databases, tables, metrics, and reports is easily discoverable through search. Tech stack Python,  System & Data Integration, Kubernetes, System design, Infrastructure mindset Skills We’re looking for a Data Platform Engineer with experience in data platforms and system design at scale. We expect a track record in designing integration architectures for external systems and streamlining data migration/ingestion. As a Data Platform Engineer, you will design and implement a solution that: Periodically indexes Atlan metadata assets into Glean, runs on a configurable schedule (hourly/daily), is production-ready, observable, and maintainable by our DevOps team after handover. Moreover, ensure compliance and data governance at the appropriate level in line with the company’s standards. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Design and build a modern data platform from scratch for an insurance client, covering architecture, data ingestion, modelling, and production operations. The role focuses on establishing a governed, scalable Snowflake-based environment to enable reliable reporting and AI capabilities. You will take ownership across the full data lifecycle, from requirements definition to deployment and maintenance. 🗂️ Requirements: Hands-on experience with Python, Proven experience with data warehouse solutions (BigQuery, Redshift or Snowflake), Experience with Databricks or data lakehouse platforms, Strong expertise in data modelling and ETL/pipeline design and maintenance, Experience with AWS, GCP or Azure cloud services, Ability to design and build data ingestion and processing pipelines, Experience working in Agile environment, Understanding of data governance and data quality concepts 📃 Skills: Python, SQL, Snowflake, BigQuery, Redshift, Databricks, Azure, AWS, GCP, Terraform, dbt, PowerBI, Spark, ETL, CI/CD 🏢 Description: We are #VLteam – tech enthusiasts constantly striving for growth. The team is our foundation, that’s why we care the most about the friendly atmosphere, a lot of self-development opportunities and good working conditions. Trust and autonomy are two essential qualities that drive our performance. We simply believe in the idea of ​​“measuring outcomes, not hours”. Join us & see for yourself! About the role The majority of these roles will be at the forefront of client collaboration and building VL positions in the industry (spearheading projects). You will work closely and directly with a different specialist from the client side. Collaborate with stakeholders to define requirements, develop data pipelines and data quality metrics. You will participate in defining the requirements and architecture for the new platform, implement the solution, and remain involved in its operations and maintenance post-launch Your work will also introduce data governance and management, laying the foundation for accurate and comprehensive reporting that was previously impossible. Build data ingestion & processing pipelines. All of the above with a strong focus on the customer’s needs. Flexibility in action and the ability to overcome obstacles are highly valued in this role. View available projects: Project Data Foundation & AI Enablement Project Scope We are architecting a modern Data Platform for a fast-scaling client in the Insurance sector. Our work consolidates fragmented legacy systems, organises data from a vast number of sources, and establishes a standardised, governed, and future-proof data foundation. We aim to unlock the full value of the company’s data, enabling faster, informed decision-making and providing the backbone for business growth and AI readiness. Tech stack SQL, Python, Snowflake, dbt, Data modelling, Data quality, Power BI, Azure, Terraform Challenges The primary objective is to deliver a robust data foundation and enable AI capabilities for a client that has grown organically. The work focuses on several key areas: Establishing a production-ready, fully operational Snowflake environment and driving operational excellence. Translating complex business logic into accurate data models to ensure the platform truly reflects business reality. Integrating diverse data sources to build reliable data products and comprehensive data dictionaries. Managing the full Data Engineering and Data Science lifecycle to support production ML and AI experimentation. Taking ownership from concept to deployment. Cultivating an engineering mindset by promoting automation, CI/CD, and rigorous standards. Team We are building a small (4-6 people), agile, cross-functional team capable of delivering the complete data platform, from initial architecture to production operations. Roles involved: DevOps, Data Engineer, Snowflake Specialist, MLOps/AI Engineer, Business Analyst (BA). The team will collaborate closely with business stakeholders to ensure effective knowledge transfer and strict alignment with strategic goals. Team The team is small but highly motivated, taking on a broad scope of responsibilities as the platform is built and expanded. What we expect in general A proactive approach and flexibility in action were a must Very good command of English (written and spoken) Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an Agile environment, collaborating with team members to solve complex problems with transparency Experience with AWS/GCP/Azure cloud services, including: GCS/S3/ABS, EMR/Dataproc, MWAA/Composer or Microsoft Fabric, ADF/AWS Glue Experience in ecosystems requiring improvements and the drive to implement best practices as a long-term process Experience with Infrastructure as Code practices, particularly Terraform, is an advantage Proactive approach Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Apply and find out! A few perks of being with us Building tech community Flexible hybrid work model Home office reimbursement Language lessons MyBenefit points Private healthcare Training Package Virtusity / in-house training And a lot more! Apply now

🏢 Summary: Executive technical leadership role to scale and evolve a global AI-driven brand compliance platform built on cloud-native architecture. The position focuses on defining technical vision, overseeing scalable and resilient systems on GCP, and integrating AI/ML into production-grade products. The mission is to transform the engineering organization into a high-performance team while maintaining startup agility. 🗂️ Requirements: Proven experience as CTO, VP Engineering, or Head of Tech in startup environment, Expert knowledge of Java, Python, and React, Strong experience with cloud-native architectures on GCP, Experience building data-intensive platforms, Experience integrating AI/ML into production systems, Experience designing scalable microservices architectures, Experience with event-driven systems, Ability to define and execute technical strategy, Experience leading and scaling cross-functional engineering teams 📃 Skills: Java, Python, React, GCP, Microservices, GraphQL, AI, ML, NLP, DevOps, QA, Cloud, Architecture, Event-driven 🏢 Description: What’s at stake? We’re changing the rules of the game in global brand compliance. Our product is in an extremely dynamic phase of development, and the largest e-commerce platforms on the market are already taking a direct interest in our innovative approach. What gives us a massive advantage is access to unique datasets—powerful fuel for building advanced AI-based solutions. We’re looking for a leader who will step up and take our product to the very top! Your mission and challenge : We need a technological visionary who will take the helm and transform our product and engineering organization into a high-performance machine. You must know how to scale processes and architecture without losing the agility and startup spirit that drives us. Our Tech Stack We build on a robust and modern foundation: Backend: Java (modern frameworks, microservices architecture). Frontend: React (building intuitive, data-rich management dashboards). AI/ML Module: Python (dedicated models for natural language processing of regulations and automated decision-making). Infrastructure: Google Cloud Platform (GCP). Engineering Philosophy: High focus on "Compliance by Design," high availability, and seamless integration with global regulatory data sources. Key Responsibilities Technical Strategy: Define the long-term technical vision and roadmap, ensuring the platform remains "right by design" and scalable for global markets. Architecture Oversight: Oversee the evolution of the GCP and Event-driven infrastructure, ensuring high resilience and security. Team Leadership: Scale and mentor a cross-functional engineering team (Software, Data, AI, DevOps, QA), fostering a culture of high velocity and low ego. Product-Tech Alignment: Collaborate with stakeholders to translate complex burdens into elegant, automated digital products. Innovation: Drive the integration of AI/ML and GraphQL layers. Requirements Leadership: Proven experience in executive technical leadership (CTO, VP Engineering, or Head of Tech) in a fast-paced startup environment. Deep Technical Roots: Expert knowledge of modern stacks (java, python, react) and cloud-native architectures (GCP). Data & AI Vision: Experience building data-heavy platforms and integrating AI/ML into production workflows. Business Acumen: Ability to align technical decisions with commercial goals and regulatory requirements. Mindset: A pragmatic leader who stays "close to the code," values ownership, and thrives on solving high-impact problems.