This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a Software Engineering Leadership Advisor (remote – US) to help senior engineering leaders make better decisions about developer productivity, developer experience, and the impact of AI on their organizations. This role is part of the DX Research Team, whose mission is to advance how the world understands and improves developer productivity. This team turns data, research, and real-world stories into actionable insights that help engineering leaders make better decisions — and in doing so, reinforces DX as the trusted source of truth in developer productivity. - Spend time talking with customers and prospects – understanding their org structures, processes, metrics, and constraints – and advising CTOs, VPs of Engineering, and platform leaders on how to design and run effective developer productivity and DevEx programs. - Turn what you’re seeing and hearing across customers into high-signal written content: frameworks, playbooks, and narratives that other leaders can learn from. - Partner closely with DX’s research, product, marketing, and sales teams to ensure what we publish reflects both customer reality and DX’s point of view. Responsibilities You’ll be expected to produce: - Two “small ships” per month – quick, high-signal pieces that capture one strong insight or idea emerging from advisory work. For example: - A pattern you’re seeing across several customers (e.g., “how top-performing teams are actually using AI in code review”). - A short, practical brief synthesizing learnings from a set of leadership conversations on a topic (e.g., “how VPs of Eng are reshaping their metrics stack in 2025”). - A concise framework or decision guide (e.g., “when to centralize vs. decentralize platform engineering”). - One “big ship” per quarter – a flagship piece that composes multiple customer stories, themes, and data points into something that reframes how leaders think about a problem. That might include: - A DX Leadership Playbook for running a DevEx program. - A state-of-the-practice report on how engineering orgs are using AI. - A deep-dive framework that becomes the default way leaders talk about a complex topic (e.g., “the maturity model for developer productivity programs”). - A cohesive guide that pulls together several “small ships” into a single, end-to-end resource. Qualifications - Significant experience (often 7–10+ years) in one or more of: Engineering leadership (e.g., Director / VP of Eng, Head of Platform/DevEx); Technical consulting or advisory work with software organizations; Developer productivity, developer experience, or related socio-technical/system design roles. - Comfortable operating at the executive level. You can earn the trust of CTOs and VPs of Engineering, ask hard questions, and withstand scrutiny. - Proven ability to turn conversations and field experience into artifacts – whether that’s internal playbooks, strategy memos, industry reports, or widely read essays. - Strong at structuring complex problems and explaining them in a way that is clear and grounded, and actionable. - Low ego, high ownership. You care more about the quality and impact of the work than about credit. You’re comfortable doing both the visible and invisible parts of this job. - Opinionated but open-minded. You’re willing to take a stand, but you update your views when the evidence changes. Requirements - Experience inside large engineering organizations or platform teams, particularly where you’ve worked on developer productivity, DevEx, or engineering effectiveness. - Prior roles as a Field CTO, Deputy CTO, Principal Engineer, or similar where you regularly met with customers or internal stakeholders in an advisory capacity. - Experience working alongside product, marketing, and sales to turn insights into narratives, go-to-market programs, or feature direction. - A network of senior engineering leaders and practitioners you can tap for feedback and collaboration. Benefits - Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. - Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

• About Curology: Curology’s mission is to make effective, personalized skincare accessible. • Leading with a player-coach mindset, the Senior Engineering Manager balances hands-on coding with leadership to deliver impact for our patients and the business. • You’ll work fluently across Product, Design, Medical, Data, and in close partnership with Technical Program Managers to remove obstacles, use data to inform execution, and scale how we build. • Your leadership will embody Curology’s Operating Principles—acting as one team, moving quickly with depth, and protecting trust at every touchpoint.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're hiring a Head of Engineering to own engineering execution, technical architecture, and cloud infrastructure across a mission-critical SaaS platform. - Lead and mentor a team of ~6 full-stack engineers plus a BA/Product Manager - Serve as the senior technical decision-maker across architecture and platform direction - Own cloud infrastructure and application reliability (Azure) - Drive ongoing modernization, including migration from legacy Perl to .NET - Balance technical debt reduction with new feature delivery - Partner closely with executive leadership on prioritization, roadmap tradeoffs, and exit readiness - Support light API integrations across products and workflows - Bring a product-oriented mindset to engineering planning and execution - Evaluate emerging technologies (including AI) in a regulated, sensitive-data environment This role is not day-to-day coding, but it does require technical depth, architectural judgment, and the ability to dive in when needed. Qualifications - Proven engineering leadership experience (Director, VP, or equivalent) - Strong systems-level and architectural thinking - Experience owning cloud infrastructure (Azure preferred) - SaaS product development background - Comfort leading teams through legacy-to-modern transitions - Ability to scope work, prioritize effectively, and make pragmatic tradeoffs Requirements - Experience in regulated or compliance-driven software (GovTech, GRC, cybersecurity, healthcare, fintech) - Product-minded approach to engineering leadership - API and systems integration experience - Curiosity about applied AI in secure environments Benefits - Base: ~$190,000–$200,000 (flexible for standout candidates) - Bonus: ~20% - Total Cash: ~$240,000–$250,000 - Meaningful equity package - Opportunity to play a key role in a PE-backed company approaching an exit Location - Preferred: Tallahassee, FL - Considered: Dallas, Atlanta, Charlotte, or Austin - Willingness to travel to Tallahassee regularly is required Why This Role - Real ownership across engineering, infrastructure, and platform direction - Small team, high trust, minimal bureaucracy - Visible impact on modernization and growth initiatives - Direct exposure to PE operations and exit preparation - Clear career acceleration opportunity

• Leading, growing, and developing a high-performing cross-functional engineering team responsible for the end-to-end biometric authentication product — from mobile SDKs to backend infrastructure. • Defining the team's structure and evolution as it scales, establishing strong engineering practices, clear ownership, and measurable delivery outcomes. • Owning the end-to-end delivery of bioauth product features — including iOS, Android, and Web SDKs, backend services for face retrieval and matching at large-scale, and integration with ML models in production. • Building and scaling high-performance infrastructure for biometric operations: face encoding storage, fast retrieval systems, matching pipelines, and real-time liveness verification. • Partnering with Product leadership to define authentication strategy, influence technical architecture, and ensure go-to-market readiness. • Driving initiatives that bring core biometric capabilities in-house, reducing third-party dependencies and increasing control over performance, cost, and innovation velocity. • Collaborating with Data Science teams to productionize ML models — integrating face recognition, liveness detection, and anti-spoofing models into mobile and backend systems. • Ensuring operational excellence: building robust monitoring, observability, performance optimization, and incident response practices across all systems. • Working with Legal and Compliance to ensure privacy-first architecture, GDPR compliance, and responsible handling of biometric data. • Building a team culture centered on technical excellence, collaboration, ownership, and customer impact.