Engineering - Internal AI Transformation

33365-Director of Software Engineering

Unknown Employer

DIRECTOR, SOFTWARE ENGINEERING (HANDS-ON) WHAT YOU WILL DO As a hands-on Director of Software Engineering, you will lead high-performing engineering teams responsible for delivering secure, scalable, cloud-native solutions that drive customer outcomes and business growth. You will partner with Product Management, Architecture, and Executive Leadership to modernize our platform, accelerate delivery through AI, and ensure operational excellence. RESPONSIBILITIES * Partner with Product Management and senior leadership to define and execute the product and technology roadmap. * Lead the modernization of legacy applications and platforms, driving migration to cloud-native architectures and modern development frameworks. * Lead the evolution of a modern, cloud-native product while working with a compelling technology stack and solving complex engineering challenges at scale. * Own the technical roadmap, including architecture, security, reliability, scalability, performance, and technical debt reduction. * Provide hands-on technical leadership through architecture reviews, design discussions, technical decision-making, and engineering coaching. * Leverage AI-powered development and testing tools to improve engineering productivity, software quality, and speed of delivery; establish and measure outcomes using productivity and engineering KPIs. * Ensure predictable, high-quality delivery of customer commitments and product releases. * Drive operational excellence through robust incident management, root cause analysis, observability, and continuous improvement practices. * Champion modern DevOps practices including CI/CD, automated testing, infrastructure as code, and cloud automation. * Build, lead, coach, and develop engineering managers and engineers while fostering a culture of accountability, innovation, and continuous learning. * Manage internal teams, contractors, and strategic technology partners to achieve business objectives. * Ensure compliance with corporate policies, industry regulations, and security standards. WHAT YOU WILL BRING REQUIRED QUALIFICATIONS * Bachelor's degree in Computer Science, Engineering, or a related technical field. * 12+ years of software engineering experience, including 5+ years leading engineering managers and software development teams. * Proven experience delivering and operating enterprise-scale software products in cloud environments. * Deep experience modernizing legacy applications, monolithic systems, and on-premise platforms into cloud-native architectures. * Strong expertise in Azure, .NET, C#, Angular, APIs, distributed systems, and modern software architecture patterns. * Experience building and operating CI/CD pipelines, automated testing frameworks, and DevOps practices. * Demonstrated success leading Agile software development organizations using Scrum or related methodologies. * Strong understanding of reliability engineering, application security, scalability, and performance optimization. * Experience implementing and measuring engineering effectiveness using DORA metrics, productivity KPIs, and operational metrics. * Deep understanding of AI-assisted software development and quality engineering tools. * Familiarity with Agentic AI platforms and practical applications of AI within enterprise software products. * Exceptional leadership, communication, organizational, and stakeholder management skills. PREFERRED QUALIFICATIONS * Experience in Healthcare Revenue Cycle Management (RCM), Payment Integrity, Payer, Claims, or Healthcare Financial Technology. * Experience leading globally distributed engineering teams. * Experience delivering SaaS and multi-tenant cloud platforms. * Experience managing products operating in highly regulated industries. * Experience with Databricks, Power BI, and modern data platforms. * Master's degree in Computer Science, Engineering, Business, or a related discipline. LEADERSHIP CHARACTERISTICS * Customer-focused and outcome-driven. * Hands-on technical leader who can effectively balance strategy and execution. * Strong coach and developer of engineering talent and future leaders. * Data-driven decision maker who combines engineering excellence with delivery velocity. * Proven ability to lead large-scale modernization and AI transformation initiatives. * Accountable for delivering secure, reliable, and scalable products while building high-performing teams. About FinThrive FinThrive is advancing the healthcare economy. For the most recent information on FinThrive’s vision for healthcare revenue management visit finthrive.com/why-finthrive [http://finthrive.com/why-finthrive].   Award-winning Culture of Customer-centricity and Reliability At FinThrive we’re proud of our agile and committed culture, which makes FinThrive an exceptional place to work. Explore our latest workplace recognitions at https://finthrive.com/careers#culture [https://finthrive.com/careers#culture].   Our Perks and Benefits FinThrive is committed to continually enhancing the colleague experience by actively seeking new perks and benefits. For the most up-to-date offerings visit finthrive.com/careers-benefits [http://www.FinThrive.com/careers-benefits].   FinThrive’s Core Values and Expectations * Demonstrate integrity and ethics in day-to-day tasks and decision making, adhere to FinThrive’s core values of being Customer-Centric, Agile, Reliable and Engaged, operate effectively in the FinThrive environment and the environment of the work group, maintain a focus on self-development and seek out continuous feedback and learning opportunities * Support FinThrive’s Compliance Program by adhering to policies and procedures pertaining to HIPAA, FCRA, GLBA, and other laws applicable to FinThrive’s business practices; this includes becoming familiar with FinThrive’s Code of Ethics, attending training as required, notifying management or FinThrive’s Helpline when there is a compliance concern or incident, HIPAA-compliant handling of patient information, and demonstrable awareness of confidentiality obligations   Physical Demands The physical demands and work environment characteristics described here [https://finthrive.com/careers-physical-demands] are representative of those that a colleague must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Sr. Manager, Incident Management and Site Reliability Engineering

Peloton

ABOUT THE ROLE At Peloton, we provide a seamless experience for our members. To achieve that, our internal engines—Finance, HR, Supply Chain, and Legal—must run with the same precision as our world-class fitness content. As the Sr. Manager, Incident Management and Site Reliability Engineering for Internal Systems, you will lead the team responsible for the "Order-to-Cash," "Procure-to-Pay," and "Record-to-Report" lifecycles. You aren't just managing infrastructure; you are the architect of business continuity. You will lead a team of high-performing SREs to ensure our global SaaS ecosystem (NetSuite, Coupa, Workday) and underlying network infrastructure are resilient, observable, and ready to scale. YOUR DAILY IMPACT AT PELOTON * Lead, mentor, and grow a team of SREs. Conduct 1:1s, define career growth paths, and foster a culture of high accountability and psychological safety * Transition from reactive support to proactive engineering. Align the team’s quarterly goals with broader Finance and Supply Chain digital transformation initiatives * Architect observability across complex business paths (e.g., ensuring a customer order flows from e-commerce through supply chain into the financial ledger) * Partner with business owners to define and track Service Level Objectives (SLOs) and Error Budgets for critical SaaS integrations * Own the Major Incident Response process for corporate systems. Ensure "War Rooms" are efficient and result in actionable improvements * Lead the Root Cause Analysis (RCA) process, ensuring a culture of continuous learning and systematic "toil" reduction * Oversee the reliability of API-driven connections and identity management (Okta/Azure AD) across our tech stack * Champion "Infrastructure as Code" (IaC) to automate manual hand-offs between business systems using Python, Go, or Terraform YOU BRING TO PELOTON * 8+ years in SRE, DevOps, or Production Engineering, with 2+ years of direct people management experience * Deep understanding of Order-to-Cash or Procure-to-Pay cycles. You can translate a "database lag" into its specific impact on warehouse shipping or financial reconciliation * Management of enterprise ecosystems (NetSuite, SAP, Workday, Salesforce) * Solid grasp of Networking (SD-WAN, VPNs), Identity (IAM), and Endpoint Management * Proficiency with Datadog, Splunk, New Relic, or Prometheus * Proven ability to communicate technical risk to non-technical stakeholders (CFO, General Counsel, Head of People WHAT SUCCESS LOOKS LIKE IN 6 MONTHS * You have established a predictable sprint velocity and a clear 12-month reliability roadmap for your direct reports * You’ve launched an Executive Health Dashboard that provides real-time visibility into the health of Peloton's financial and logistical "nervous system" * Through your team's automation efforts, you have reduced manual toil and decreased the Mean Time to Recovery (MTTR) for Tier-1 internal outages by 20% #LI-DD1 #LI-REMOTE #LI-DD #LI-Hybrid The base salary range represents the low and high end of the anticipated salary range for this position to be performed remotely from any Peloton office or facility, in any U.S. State and any location therein. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: * Medical, dental and vision insurance  * Generous paid time off policy * Short-term and long-term disability * Access to mental health services * 401k, tuition reimbursement and student loan paydown plans * Employee Stock Purchase Plan * Fertility and adoption support and up to 18 weeks of paid parental leave  * Child care and family care discounts * Free access to Peloton Digital App and apparel and product discounts * Commuter benefits and Citi Bike Discount * Pet insurance and so much more! Base Salary Range $190,800—$267,250 USD   ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit www.onepeloton.com. Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email: applicantaccommodations@onepeloton.com. At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool.  Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions. Please be aware that fictitious job openings, consulting engagements, solicitations, or employment offers may be circulated on the Internet in an attempt to obtain privileged information, or to induce you to pay a fee for services related to recruitment or training. Peloton does NOT charge any application, processing, or training fee at any stage of the recruitment or hiring process. All genuine job openings will be posted here on our careers page and all communications from the Peloton recruiting team and/or hiring managers will be from an @onepeloton.com email address.  If you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Peloton, please email applicantaccommodations@onepeloton.com before taking any further action in relation to the correspondence. Peloton does not accept unsolicited agency resumes. Agencies should not forward resumes to our jobs alias, Peloton employees or any other organization location. Peloton is not responsible for any agency fees related to unsolicited resumes.

Sr. Director, Field Technology and AI

Elastic

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. WHAT IS THE ROLE As the Sr. Director, Field Technology and AI, you will lead the GTM Technology organization responsible for accelerating and applying AI across Elastic's Go-to-Market motion. Reporting into Revenue Operations leadership, you will own the strategy, roadmap, and execution for four interconnected teams: Engineering, Data Science, Customer Data Strategy, and Application Administration. Together these teams form the engine for AI-driven GTM transformation at Elastic. This is a senior, enterprise-wide leadership role with a strong team and clear direction. Data Science creates new synthetic signals for action. Customer Data Strategy ensures the underlying data is certified and trustworthy for all teams. The Field Engineering team builds the systems that operationalize it inside GTM workflows. Application Administration sustains the platforms where it all comes to life. Your responsibility is to align these disciplines into a single, coherent operating model that solves GTM problems at scale. You will set the vision for how AI is embedded into the seller and GTM leader experience, while ensuring each team delivers against its own roadmap, outcomes, and success measures in service of broader fiscal-year strategic goals. WHAT YOU WILL BE DOING * Strategy & Leadership * Set the Field Technology & AI Vision: Define and own the strategy for how Elastic applies AI across the GTM ecosystem, aligning Engineering, Data Science, Customer Data Strategy, and Application Administration into a unified roadmap that aligns with RevOps and GTM strategic priorities. * Lead a Multi-Disciplinary Organization: Build, mentor, and lead an organization o across four functional teams, each with their own leaders, roadmaps, and outcomes. Set clear success measures, develop leaders, and create the framework for success * Drive AI Adoption Across GTM: Partner with senior GTM, Sales, Marketing, legal, IT, and Finance leaders to identify the highest-leverage GTM problems AI can solve, and lead those solutions from concept to adoption. * Measure & Communicate Impact: Establish KPIs for AI-driven outcomes, system performance, data quality, and team delivery. Regularly report progress, trade-offs, and business impact to executive stakeholders. * Operate as an Executive Partner: Serve as the senior technology voice within RevOps, translating GTM strategy into a technology agenda, and translating technology capability into GTM opportunity. * Execution & Delivery * Lead Four Functional Teams: Manage Engineering, Data Science, Customer Data Strategy, and Application Administration through their respective leaders. Set distinct roadmaps, success measures, and operating cadences for each team while ensuring their outputs combine into a single, coherent GTM technology portfolio. * Influence Beyond Your Org: Drive alignment and shared outcomes with peer leaders across Revenue Strategy, Marketing, Finance, and IT. Shape executive-level decisions on GTM priorities, secure cross-functional investment in your roadmap, and resolve trade-offs that span organizational boundaries. * Productize AI for GTM: Champion a portfolio of applied AI use cases, including account scoring, next-best-action, seller copilots, agentic workflows, and conversational analytics, and drive each from design, prototype, and ultimately to scaled adoption. * Govern the Technology Portfolio: Make principled build/buy/partner decisions across the GTM tech stack, balancing innovation speed with platform stability, cost, and long-term scalability. * Embed AI Responsibly: Establish the principles, guardrails, and review mechanisms that ensure AI is deployed at Elastic in ways that are accurate, explainable, secure, and aligned with company values. WHAT YOU BRING * Strategic Leadership & GTM Understanding * 12+ years of progressive experience in GTM technology, RevOps systems, data/analytics, or applied AI, including 7+ years in senior leadership roles managing multiple sub-functions and leaders-of-leaders. * Proven track record building or transforming a Field/GTM Technology organization in a global B2B SaaS environment, with measurable impact on pipeline, productivity, or revenue outcomes. * Demonstrated success leading multi-disciplinary teams across engineering, data science, data strategy, and application administration, and creating an operating model that aligns them around shared outcomes. * Exceptional executive presence and communication skills, with the ability to influence senior GTM, Marketing, Finance, and IT stakeholders, and to translate technical strategy into business outcomes. * Track record of building, developing, and retaining strong technical leaders and specialized individual contributors. * Technical Expertise & Execution * Deep fluency in the modern GTM technology stack, including CRM (Salesforce), marketing automation, sales engagement, CPQ, and the integration patterns that connect them. * Strong working knowledge of modern data and AI stacks (BigQuery, Snowflake, Databricks, dbt, vector databases, LLM orchestration frameworks) and how they combine to deliver applied AI capabilities into operational workflows. * Experience operationalizing ML and GenAI use cases inside GTM systems, moving from model output to embedded, adopted, measurable seller and leader experiences. * Strong understanding of data governance, MDM, and the data quality foundation required to make AI trustworthy at enterprise scale. * Sound judgment on engineering practices, system architecture, vendor selection, and total-cost-of-ownership trade-offs. BONUS POINTS * Hands-on experience deploying agentic AI, retrieval-augmented generation (RAG), or knowledge-graph-based approaches in a GTM or enterprise operations context. * Working knowledge of the Elastic Stack (Elasticsearch, Kibana, vector search) and how it can be leveraged to power internal GTM applications and AI use cases. * Experience partnering closely with central IT/Enterprise Data organizations to deliver shared outcomes across organizational seams. Compensation for this role is in the form of base salary.  This role does not have a variable compensation component.   The typical starting salary range for new hires in this role is listed below.  In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.  These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.   An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs. Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program.  Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being. The typical starting salary range for this role is: $212,100—$335,600 USD The typical starting salary range for this role in the select locations listed above is: $254,900—$403,200 USD ADDITIONAL INFORMATION - WE TAKE CARE OF OUR PEOPLE As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do. We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do. * Competitive pay based on the work you do here and not your previous salary * Health coverage for you and your family in many locations * Ability to craft your calendar with flexible locations and schedules for many roles * Generous number of vacation days each year * Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service * Up to 40 hours each year to use toward volunteer projects you love * Embracing parenthood with minimum of 16 weeks of parental leave Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation. We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate_accessibility@elastic.co. We will reply to your request within 24 business hours of submission. Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster) Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries’ export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic. Please see here for our Privacy Statement.