[![Image]() Meet Jobicy Copilot — free AI autofill for job applications + remote job alerts ›](#) [All remote jobs](https://jobicy.com/jobs.md)Open role[![Actian logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2026/06/0fee3ec4-221.webp)](https://jobicy.com/company/actian.md)Remote opportunity at[Actian](https://jobicy.com/company/actian.md) # Senior Engineering Manager [gn] Data Intelligence Platform Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/actian.md)Share16 Sep 2026Published30Listing views2Application actions16 Oct 2026Apply before Opportunity details ## About this role. AI SummaryActian is seeking a Senior Engineering Manager to lead a senior team of 12 building a data intelligence platform. The role combines engineering organizational design, technical governance, and hands-on oversight of Java-based, globally available data platforms. Key priorities include introducing LLM and agentic-AI workflows into the SDLC, improving delivery flow and operational metrics, and partnering with Product and UX on roadmap execution. The manager will also develop career frameworks, mentor team leads, and foster a candid, knowledge-sharing engineering culture. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior leadership role requiring both deep engineering judgment and proven ability to scale high-performing R&D organizations. Success depends on simultaneously driving AI-enabled transformation, platform reliability, organizational design, and cross-functional alignment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$190,000US market range$165k–$230k0$253k AI insightNo actual compensation range is disclosed; “competitive salary” is not a quantifiable offer. The figures shown are estimated annual USD base-salary benchmarks for a US-market Senior Engineering Manager leading a data-platform team, with deep Java, high-availability systems, and AI/SDLC transformation responsibilities; equity, bonus, and location adjustments may materially change total compensation. ## Core skills Skills and capabilities most closely associated with this opportunity. [Engineering leadership](https://jobicy.com/jobs?search_keywords=Engineering%20leadership.md)[Data platforms](https://jobicy.com/jobs?search_keywords=Data%20platforms.md)[Java](https://jobicy.com/jobs?search_keywords=Java.md)[Cloud architecture](https://jobicy.com/jobs?search_keywords=Cloud%20architecture.md)[High availability systems](https://jobicy.com/jobs?search_keywords=High%20availability%20systems.md)[Agentic AI](https://jobicy.com/jobs?search_keywords=Agentic%20AI.md)[LLM integration](https://jobicy.com/jobs?search_keywords=LLM%20integration.md)[Software development lifecycle](https://jobicy.com/jobs?search_keywords=Software%20development%20lifecycle.md)[Team Topologies](https://jobicy.com/jobs?search_keywords=Team%20Topologies.md)[People management](https://jobicy.com/jobs?search_keywords=People%20management.md) Sample interview questionsHow have you used Team Topologies to improve engineering delivery and reduce cognitive load?I begin by mapping value streams, dependencies, ownership boundaries, and recurring delivery friction. I then clarify stream-aligned, platform, enabling, and complicated-subsystem responsibilities, establish interaction modes, and track outcomes such as lead time, incident volume, and developer satisfaction. What is your approach to adopting LLM or agentic workflows in the SDLC responsibly? I start with high-value, low-risk use cases such as code assistance, test generation, documentation, and incident triage. I define security and quality guardrails, run measurable pilots, retain human review for consequential changes, and expand adoption only when reliability, productivity, and developer experience data support it. Describe how you would lead a team responsible for a globally available data platform. I would establish explicit reliability objectives, capacity planning practices, resilient architecture standards, and clear incident ownership. I would also ensure that observability, operational readiness reviews, disaster recovery exercises, and customer-impact prioritization are embedded in the team's normal delivery process. How do you balance hands-on architectural involvement with empowering experienced team leads? I stay close to consequential technical decisions by participating in design reviews, challenging assumptions, and ensuring alignment with platform strategy. At the same time, I delegate decision ownership clearly, coach leads through trade-offs, and use lightweight governance rather than becoming a delivery bottleneck. How would you build a culture of Radical Candor and continuous growth across a senior engineering organization? I would model direct, respectful feedback, set clear expectations, and create regular forums for one-to-ones, retrospectives, technical talks, and calibration discussions. Career frameworks, transparent promotion criteria, and individualized development plans help ensure feedback translates into meaningful growth and internal mobility. About Actian: Data at the Core, Innovation by Nature Actian is more than just a data management company; we are the architects of data intelligence for a hybrid, cloud-centric world. As a recognized global leader in hybrid data management and high-performance cloud warehousing, our platforms are the backbone for mission-critical operations at world-class organizations including Bloomberg, Intuit, Lufthansa, and Citibank. We empower these enterprises to solve the most complex data challenges on the planet, driving real-time decision-making at massive scale. We aren’t just scaling; we are fundamentally re-architecting how we build software by moving into Agentic AI-driven engineering. Reporting directly to the VP of Engineering, you will lead a high-seniority team of 12, bridging the gap between high-level organizational strategy (Team Topologies) and hands-on AI integration within our SDLC. We offer a dynamic, challenging environment where your strategic leadership will directly influence the implementation and success of this AI-first data intelligence future. ### Organizational Strategy & Design * Team Topologies: Expert-level implementation of Stream-aligned, Platform, and Enabling team structures. * Scaling & R&D Architecture: Designing high-growth engineering orgs with a focus on flow and cognitive load management. * Data-Driven Leadership: Utilizing health metrics and efficiency benchmarks to proactively resolve bottlenecks. ### AI & Technical Governance * AI-Driven Engineering: Practical integration of LLMs and Agentic workflows into the SDLC (automated coding, testing, and incident response). * Hands-on Technical Leadership: Strong architectural oversight and design review experience. * Core Stack Expertise: Deep proficiency in Java. * Infrastructure Scalability: Experience with global, high-availability data platforms. ### Operational Excellence * Process Engineering: Designing AI-augmented onboarding, deployment pipelines, and feedback loops. * Product/UX Partnership: Translating complex roadmaps into technical requirements and high-value execution. ### People & Culture * Career Frameworks: Building seniority levels, internal mobility, and growth tracks. * Leadership Mentorship: Coaching Team Leads and identifying high-potential (HiPo) talent. * Managerial Culture: Promoting a “Radical Candor” environment and structured knowledge sharing (Guilds/Tech Talks). ### Required Experience & Skills: * Engineering Roots: 7–10+ years in high-growth SaaS; deep technical acumen (Data Platform experience preferred). * Scale-up Leadership: Proven track record of building and rapidly scaling R&D teams. * AI Enabler: Practical interest or experience in Agentic AI systems to drive team-wide adoption. * Org Design Mastery: Expert grasp of Team Topologies, flow optimization, and architectural alignment. * Modern Management: Fluent in human-centric frameworks like Management 3.0. ### Soft Skills * Strategic & Hands-on: Ability to synthesize high-level strategy into daily operational execution. * Autonomous Ownership: Self-starter with a strong bias for action and a track record of driving complex initiatives to completion. * Influential Communicator: Exceptional skill in aligning stakeholders across Product, Design, and Executive leadership. ### What We Offer: * The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. * Collaboration with a passionate and diverse team. * Competitive salary and benefits package. * Flexible work arrangements (remote or hybrid). * Opportunities for professional growth and development. ### Compensation ### Additional Information Why Join Us? At Actian, we are passionate about innovation and teamwork. This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team. Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us. We value diversity at our company. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Show more [Apply now >](https://jobicy.com/jobs/153378-senior-engineering-manager-gn-data-intelligence-platform.md) > Annual salary information is not provided for this position. 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