Technical CAD Application Manager (all genders)

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 We’re eager to welcome an outstanding Product Manager to join the Elastic Observability product team, with a focus on logs and logs analytics capabilities. With your knowledge and understanding of the Observability domain, you'll help ensure that we give our customers the best end to end full stack Observability experience for logs we collect from the applications and infrastructure we monitor. This role significantly impacts the success of our Observability product! WHAT YOU WILL BE DOING * Evolving our logs analytics capabilities, aligning at every step with organizational and company strategy. * Advancing and influencing the entire end-to-end lifecycle for logs collection, ingest, and management * Building features that cater to the modern SRE. From integrating GenAI and Agentic workflows into the logging experience, automated SLO/SLI tracking from logs, intelligent alerting, correlating logs, metrics, and traces, and beyond. * Working closely across teams, collaborating with Engineering, UX, Design and other teams to bring top notch application monitoring experiences to our users. * Working with our Sales & Marketing teams on go-to-market, messaging, competitive analysis, enablement, and feature adoption. * Tracking user engagement and feedback to inform product and feature evolution. WHAT YOU BRING  * Ideally 3+ years in product management or closely related area * Technical experience in logs analytics * Observability and/or performance monitoring domain knowledge * Comfort working with and converting abstract problems into concrete, prioritized solutions, working from the customer backwards * Outstanding spoken and written communication skills * Passion for industry trends, competitive landscape * Experience working in remote, globally distributed work environment is optional but desired * Knowledge of AI is optional but desired 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.  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 Registered Retirement Savings Plan (RRSP) 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: $128,300—$203,000 CAD 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.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. The People Development team is building the infrastructure for how Lyft grows, develops, and equips its people. As Technical Learning Manager, you will own the strategy and execution of technical learning programs for Lyft's Engineering, Science, Product, and Design organizations — one of our highest-leverage investments in people. This role sits at the intersection of learning design, program management, and functional excellence across the technology organizations. You will inherit an established portfolio of programs for software engineers — including Tech Learning, compliance training, and documentation initiatives — and will be responsible for running, evolving, and expanding them across all of Lyft’s tech orgs. You will report to the Head of People Development and work closely with Functional excellence leadership, HRBPs, and cross-functional partners to ensure our technical learning programs are high-quality, well-adopted, and tied to real business outcomes. RESPONSIBILITIES: * Program Ownership * Own the strategy and execution of Lyft's technical learning portfolio, including  engineering continuing education programs, documentation improvement initiatives and compliance training  * Manage mid-cycle programs with active stakeholder relationships and scheduled commitments — ensuring continuity, quality, and follow-through * Provide editorial oversight for Lyft's internal technical content initiatives, including the Tech Blog — managing workflow, stakeholder relationships, and publication processes in partnership with engineering contributors * Assess the current program portfolio and make recommendations grounded in engineer needs and business priorities * Provide engaging learning experiences that empower technologists to do their best work at Lyft * Embed AI upskilling in all programs including LLM education, AI productivity programming, and connecting the dots across all AI training functions at Lyft * Partner with internal AI Champions and peer learning program owners to ensure technical learning initiatives are connected, complementary, and reaching the right audiences * Own and maintain tech learning sites, resources, and reference materials — ensuring content is current, discoverable, and reflects the latest programs and priorities * Program Design and Scaling * Design programs in ambiguous spaces — clarifying goals, defining success metrics, and building toward sustained program health * Leverage a champion model and internal subject matter experts to scale content delivery  * Ensure programs are documented and structured for self-serve or handoff where appropriate * Build toward a scalable, structured continuing education program for engineers at Lyft, anchored in identified skill gaps * Create learning content for technical audiences * Cross-functional Integration * Partner with the technical onboarding program to ensure the onboarding experience is well-integrated with the broader technical learning ecosystem  * Integrate technical manager training topics into People Development's Manager programming — ensuring engineering managers are well-served within the broader PDev portfolio * As the role grows, contribute to resourcing decisions and help shape the structure of the technical learning function at Lyft * Stakeholder Partnership * Build and maintain trusted relationships with engineering leaders, infrastructure TPMs, and tech-adjacent teams as the face of PDev to the technical community * Partner with HRBPs and People Analytics to understand the needs of the technical audience and measure program impact * Navigate cross-functional dependencies (legal, comms, compliance, LMS/platform) to keep programs running smoothly EXPERIENCE: * 5+ years of experience in learning & development, technical program management, or a closely related field — with demonstrated ownership of complex, cross-functional programs * Experience designing and delivering learning programs for technical audiences (i.e. Software Engineering) — you should be comfortable reviewing code snippets, understanding Git workflows (e.g. opening PRs, working in GitHub), and building curriculum for hands-on technical content * Strong program management skills: able to manage multiple programs simultaneously, define milestones, identify risks, and adapt in ambiguous environments * Demonstrated ability to build trusted relationships with engineering leaders and cross-functional stakeholders * Experience with AI/ML learning content, technical enablement, or developer education  * Familiarity with LMS platforms (e.g., Codecademy, Docebo, Udemy) and experience managing compliance or required training workflows * Excellent communication skills — able to synthesize complex tradeoffs and present recommendations to senior leaders clearly and confidently * Comfort operating in a fast-moving environment where programs may need to be built, inherited, or adapted. BENEFITS: * Extended health and dental coverage options, along with life insurance and disability benefits * Mental health benefits * Family building benefits * Child care and pet benefits * Access to a Lyft funded Health Care Savings Account * RRSP plan with company match to help save for your future * In addition to provincial observed holidays, salaried team members are covered under Lyft's flexible paid time off policy. The policy allows team members to take off as much time as they need (with manager approval). Hourly team members get 15 days paid time off, with an additional day for each year of service  * Lyft is proud to support new parents with 18 weeks of paid time off, designed as a top-up plan to complement provincial programs. Biological, adoptive, and foster parents are all eligible. * Subsidized commuter benefits and Lyft ride credits Lyft is committed to creating an inclusive workforce that fosters belonging. Lyft believes that every person has a right to equal employment opportunities without discrimination because of race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, disability, pardoned record of offences, or any other basis protected by applicable law or by Company policy. Lyft also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.  Accommodation for persons with disabilities will be provided upon request in accordance with applicable law during the application and hiring process. Please contact your recruiter if you wish to make such a request. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office at least 3 days per week, including on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the Toronto area is CAD $122,000 - CAD $152,500, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process. Lyft may use artificial intelligence to screen applicants, however, Lyft employees make the ultimate selection and hiring decisions. This job fills an existing vacancy.