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About LawnStarter: LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter: The analytics team is small and senior, supporting the entire company including product, marketing, operations, and finance. The data platform is built on a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, governance tasks are side work done by analysts, and this role is dedicated to data governance. The Role: You will be the first dedicated person at LawnStarter responsible for data governance, owning the trustworthiness of data and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding machine learning models, and data security. You will collaborate with product, marketing, operations, and finance to understand business data needs and prioritize platform work. This is a hands-on managerial role starting solo, building automation, fixing issues, and establishing scalable processes. Eventually, you will hire and lead a Lead Analytics Engineer. Key Differentiators: - First dedicated governance role, reshaping existing governance standards. - Own the data roadmap, discovering and prioritizing business needs. - Full ownership from source data to ML models. - Lead the migration to Lightdash, setting up permissions and structure. Responsibilities: - Develop and manage the data roadmap balancing stakeholder needs and platform health. - Implement automated monitoring for data quality and freshness. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer ensuring one governed definition per metric. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security and privacy including access controls and compliance with US state privacy laws. - Maintain governance documentation, ownership models, and review processes. Challenges to Solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability and governance. - Complete and maintain the semantic layer. - Prevent entropy in event tracking and maintain standards. - Proactively detect and resolve data pipeline breakages. Success Metrics (Year 1): - Zero pipeline incidents from unannounced source data changes. - Zero freshness incidents with stakeholders always seeing up-to-date dashboards. - All business areas self-serve on official, well-maintained metrics and dashboards. - Retire Tableau and Metabase. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance and making data systems trustworthy. - Daily use of AI tools (Claude Code, Copilot, ChatGPT) for automation and anomaly triage. - Hands-on manager accountable for others' output and still actively building. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role is not: - Large team leadership initially; starts solo with potential to grow. - Policy or committee role; hands-on fixing with code, config, or conversation. - BI analyst role focused on dashboard building. - Babysitting a finished system; role involves building and maturing the platform. Tech Stack: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for freshness monitoring, anomaly detection, dbt lineage Benefits: - Base salary $75k-$120k/year - Fully remote work with deep focus environment - Async collaboration - Flexible PTO - Equal employment opportunity and compliance with nondiscrimination laws

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York City What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City, New Jersey based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Annapolis, MD Position Summary : The Post-Acute Network Performance Specialist is responsible for facility-level performance engagement and operational partnership across Luminis Health’s post-acute network. This role serves as the hospital-designated performance liaison to Skilled Nursing Facilities (SNFs) and, as phased, Inpatient Rehabilitation Facilities (IRFs), Long-Term Acute Care Hospitals (LTACHs), and other post-acute partners. The Specialist supports execution of the enterprise post-acute strategy by conducting structured performance reviews, identifying operational barriers impacting throughput and readmissions, and facilitating resolution pathways in coordination with internal and external stakeholders. This position operates at the partner-performance level and does not perform inpatient discharge planning, placement decisions, or care management workflows. Essential Job Duties : Conduct Facility-Level Performance Reviews Lead recurring structured performance discussions with assigned post-acute partners to review throughput, readmissions, referral patterns, and operational reliability metrics. Monitor Partner Performance Trends Analyze facility-specific data to identify emerging patterns related to acceptance timeliness, cycle time variability, readmission trends, and escalation frequency. Support Barrier Identification and Resolution Identify recurring operational or clinical barriers impacting patient transitions and coordinate structured resolution plans in collaboration with partner leadership and internal stakeholders. Facilitate Escalation Communication Serve as the first-line external liaison for performance-related concerns, ensuring timely documentation, communication, and follow-up of identified issues. Promote Throughput Reliability Work with post-acute partners to improve referral responsiveness, documentation alignment, authorization readiness, and discharge progression reliability. Support Preferred Network Performance Standards Reinforce established performance expectations and tiering criteria through routine engagement and performance transparency. Strengthen Clinical Alignment Conversations Collaborate with facility clinical leadership to review readmission diagnoses, high-impact DRG trends, and transition breakdowns that may impact system performance. Maintain Structured Performance Documentation Track meeting outcomes, barrier logs, corrective actions, and performance improvement initiatives in accordance with departmental governance standards. Provide Intelligence to Manager and Director Escalate systemic trends, recurring patterns, and high-variance performance issues to leadership to inform enterprise-level decision-making. Support Network Expansion and Governance Scaling Assist with onboarding of new partner facilities into the governance model as the network expands across SNF, IRF, LTACH, and home-based settings. Qualifications/Experience Requirements: Bachelor’s degree in Healthcare Administration , Public Health, Social Work, or related field required . Minimum of 3–5 years of experience in post-acute care, care management, hospital operations, or healthcare performance improvement. Demonstrated experience in one or more: Post-acute strategy Population health Care continuum operations Value-based payment models Healthcare network development Experience in Maryland’s TCOC or similar global budget environment strongly preferred. Proven ability to influence executive and external partner stakeholders High ethical standards and a commitment to compliance Excellent organizational, time management and problem-solving skills Ability to function effectively as part of a multi-disciplinary team Required License/Certifications: N/A Working Conditions, Equipment, Physical Demands: Requires travel between Luminis Health campuses and post-acute partner facilities Physical Demands – Light Duty The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. The above job description is an overview of the functions and requirements for this position . This document is not intended to be an exhaustive list encompassing every duty and requirement of this position; your supervisor may assign other duties as deemed necessary. Pay Range $75,000 — $100,000 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties The Sr. Instructional Designer, Paid Programs defines and owns BambooHR's market-facing premium and paid HR education programs — including certifications, cohorts, and workshops — and serves as a standards-setter for instructional design and facilitation excellence across the Digital Customer Education team. This role shapes the topic roadmap and SME strategy across HR practice areas such as compliance and performance management, as well as AI fluency and AI workforce strategy, and owns outcomes across the full program lifecycle — discovery, design, delivery, measurement, and iteration. It architects complex, behavior-changing learning experiences that build durable customer capability, reduce friction, accelerate time-to-value, and improve adoption and self-service outcomes. The Sr. Digital Customer Education Specialist facilitates advanced customer-facing sessions (certification cohorts, webinars, learning labs, workshops) with expert-level presence and real-time adaptation, consulting and coaching senior HR practitioners in their own context, while mentoring teammates in facilitation craft, narrative clarity, and AI-enabled workflows. Working cross-functionally with Marketing, GTM, Customer Success, Product, and CX leadership, this role uses systems thinking and learning analytics to identify where education can create measurable customer value and influence commercial outcomes — lead generation, paid-program monetization, adoption, retention, and expansion — and shapes the education strategy and standards for these programs within the broader education roadmap. You will: Define and own the premium and paid HR education portfolio end-to-end, from customer discovery and scope recommendation through delivery, measurement, and iteration. Shape the topic roadmap and SME strategy across HR practice areas and AI capability, including which topics warrant paid programs, certification, or premium content. Lead major education programs and flagship learning experiences with measurable outcomes tied to customer value, adoption, self-service, and customer success, and to the commercial outcomes the programs are intended to create. Define the learning approach for assigned complex topic areas, product areas, or journey stages, including goals, program and certification architecture, sequencing recommendations, and measurement plans. Lead cross-functional delivery for flagship programs (scope, dependencies, stakeholder alignment, launch readiness, and post-launch iteration). Design the call-to-action and conversion approach for education experiences with Marketing and GTM, and proactively surface opportunities where education can generate leads or create new and expanded revenue. Create reusable templates, playbooks, and best practices that raise quality and consistency across the team, and hold quality, consistency, and accuracy as paid programs scale. Mentor Specialist I/II team members through feedback, reviews, co-facilitation, and coaching. Design multi-layered learning experiences that drive behavior change and adoption through practice, reinforcement, and learner-centered progression. Build and direct the SME model — recruiting, briefing, and leveraging internal and external experts — and translate expert knowledge, research, and HR domain expertise into structured, scalable curricula: objectives, session plans, exercises, assessments, job aids, facilitator guides, digital courses, and video. Host and facilitate complex customer sessions with advanced instructional presence, clarity, empathy, and real-time adaptation, consulting and coaching senior practitioners live. Ensure learning aligns to customer goals, product expectations, and journey context; adjust delivery based on questions and sentiment. Use AI to redesign how programs are researched, designed, produced, delivered, and operated, and build reusable workflows and prompt libraries that improve quality and velocity across the team. Lead AI experimentation for segmentation, personalization, and optimization for owned programs. Evaluate emerging AI tools and recommend integration opportunities that improve effectiveness and measurable outcomes, and set standards for accurate, responsible use. Use analytics and experimentation to improve timing, modality, content clarity, and learning effectiveness through iterative testing. Partner with Journey Operations to recommend signal-based education interventions and education-led solutions to adoption blockers. Translate customer learning insights into actionable recommendations for Product, Product Marketing, and Digital Service experiences. Represent education in strategic conversations with Marketing, GTM, Product, Product Marketing, Support, and CX leadership; influence decisions through insight, data, and narrative clarity. Align stakeholders on learning goals, constraints, and success measures for owned programs; communicate risks and tradeoffs clearly. What You Need to Get the Job Done 5+ years of experience in customer education, enablement, instructional design, or digital learning (or equivalent practical experience), including material ownership of revenue-generating education — premium content, paid programs, certification, cohort learning, or professional services — from discovery through delivery and measurement. Expert-level facilitation skills with real-time adaptation and strong customer-facing presence, including consulting and coaching credibility with senior HR practitioners. Advanced instructional design and adult learning expertise with a track record of behavior-change outcomes and of turning SME knowledge and research into scalable curricula. Depth or demonstrated ability to build depth in HR practice areas such as compliance and performance management, plus fluency in AI capability and AI workforce strategy topics. High applied AI fluency with a demonstrated ability to redesign programs, workflows, and delivery models using AI — not only to accelerate production — and to evaluate AI outputs for accuracy and fit. Commercial and GTM partnership: understands customer expectations, scope, positioning, and how education generates leads and creates measurable business value. Strong systems thinking, synthesis, and narrative clarity; ability to influence cross-functional, Marketing, and GTM leaders. Demonstrated ability to mentor others through feedback, coaching, and standards-setting. Bachelor's degree or equivalent practical experience required. What Will Make Us REALLY Love You Experience designing lifecycle-triggered learning and in-product education experiences. Experience with learning analytics, experimentation frameworks, and connecting education outcomes to adoption metrics. Experience creating reusable playbooks/standards that scale quality across a team. Experience designing or owning certification or credentialing programs. Experience in HR, HR technology, people consulting, talent development, or workforce transformation. Experience with responsible AI, organizational AI adoption, change management, or AI governance. Experience in SaaS or another fast-moving, customer-facing technology environment. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR. Essential Job Duties The Instructional Designer, Paid Programs will independently designs and delivers premium and paid HR education experiences — including certification programs, cohorts, workshops, learning labs, LMS courses, and short-form digital education. This role builds depth across HR practice areas such as compliance, performance management, and AI fluency and AI workforce strategy, partnering with subject-matter experts to translate expert knowledge and research into clear, actionable learning that helps customers adopt BambooHR and become more self-sufficient. The Digital Customer Education Specialist, Premium & Paid Programs uses AI across research, drafting, personalization, production, and program operations to increase speed, scale, and consistency, applies instructional design judgment to improve effectiveness, and analyzes performance signals to recommend improvements in timing, sequencing, modality, and content clarity. This role partners cross-functionally with Marketing, GTM, Customer Success, Product, and Knowledge Governance to ensure education is accurate, aligned to product releases and customer journey needs, and contributes to measurable adoption, retention, lead generation, and paid-program outcomes. You will: Design and deliver premium and paid HR education experiences end-to-end across modalities (certification programs, cohorts, webinars, workshops, learning labs, LMS courses, microlearning), including audience and learning-needs analysis, learning objectives, session plans, exercises, assessments, job aids, and facilitator materials. Develop education across HR practice areas — including compliance, performance management, and related people topics — as well as AI fluency and AI workforce strategy, going deep enough to teach credibly with SME support. Partner with internal and external subject-matter experts to turn expert knowledge and research into structured, practical curricula without needing to be the deepest expert in every topic. Create scripts, slides, videos, and short-form learning assets using AI-assisted research, drafting, and editing while maintaining accuracy, accessibility, and clarity; prototype content independently before handing it to the broader production team. Build clear calls to action into education experiences that generate qualified leads and support pipeline and paid-program growth, in partnership with Marketing and GTM. Facilitate and co-facilitate live customer sessions and adapt delivery in real time based on customer questions, context, and learner needs. Define success measures for owned sessions/assets and monitor performance signals (webinar metrics, LMS analytics, and in-product signals where available), including enrollment, completion, certification, and lead-conversion signals where available. Partner with Journey Operations to recommend improvements to education timing and sequencing based on customer behavior signals and learning performance insights. Manage multiple moderate-complexity projects and content updates, including stakeholder review cycles, versioning, and release readiness updates, and maintain quality, consistency, and accuracy as paid programs scale. Partner with Product, Product Marketing, Support, and Knowledge Governance to ensure content accuracy, consistency, and alignment to standards. Identify content gaps and propose improvements to increase self-service effectiveness, strengthen the value customers receive from paid and premium programs, and reduce repetitive support needs. What You Need to Get the Job Done 2+ years of experience in customer education, enablement, training, instructional design, or a related field (or equivalent practical experience), including experience building or delivering education customers pay for — premium content, paid programs, cohort learning, certification, or professional services. Strong facilitation and co-facilitation skills and communication skills with the ability to adapt during live customer sessions. Solid instructional design and adult learning foundations; ability to simplify complex workflows and product concepts and to turn SME knowledge and research into practical learning. Working knowledge of HR practice areas such as compliance and performance management, with the ability to build depth quickly by leaning on subject-matter experts. Applied AI fluency: uses AI to accelerate research, design, production, program operations, demonstrations, and learner support, with strong judgment for evaluating and correcting AI outputs; familiarity with AI workforce strategy topics. Strong collaboration and project execution skills across multiple stakeholders; ability to manage multiple priorities and deadlines, including work with Marketing, GTM, and Customer Success partners. What Will Make Us REALLY Love You Experience with LMS/course building, webinar platforms, microlearning, and in-product education tools. Familiarity with product analytics (e.g., Pendo) and using customer behavior signals to inform education recommendations. Experience partnering with Knowledge Governance on content standards, reuse models, and versioning. Experience contributing to certification or credentialing programs. Experience in HR, HR technology, people consulting, talent development, or workforce transformation. Exposure to responsible AI practices, organizational AI adoption, or change management. Experience in SaaS or another fast-moving, customer-facing technology environment. What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding Agentic Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are a pragmatic, hands-on engineer who has built and shipped agentic AI systems into production. You understand that getting an agent to work is only part of the challenge. You know how to build systems that continue to work safely and reliably with real data, enterprise security requirements, and meaningful consequences when something goes wrong. You communicate clearly with clients and technical peers, make thoughtful architectural decisions, and are comfortable explaining why an agent behaved the way it did. You have strong software engineering fundamentals and the judgment to recognize when an agent is the right solution and when a simpler, deterministic approach is better. What you will be doing Work directly with clients to understand complex business problems and translate them into scalable, production-ready agentic AI solutions. Design and implement multi-step agent systems, including orchestration, tool and function calling, task decomposition, and, when appropriate, multi-agent coordination. Build integrations between agents and enterprise systems by exposing APIs as tools, implementing MCP servers, and developing structured tool contracts. Design evaluation frameworks, guardrails, grounding and citation checks, and human-in-the-loop workflows that identify and manage agent failures before they reach users. Instrument agent systems for traceability and observability, including agent actions, model behavior, token and cost usage, latency, and system performance. Design and maintain state and memory across long-running workflows and implement model routing, retries, idempotency, and other patterns required for reliable production systems. Build and deploy AI solutions using cloud platforms and services such as: Azure OpenAI, Azure AI Foundry, Azure AI Search, AKS, or related Azure technologies; Amazon Bedrock, Lambda, ECS, EKS, or related AWS technologies. Apply strong software engineering practices using Python, Java, APIs, containers, source control, automated testing, and CI/CD. Work directly with client engineering and security teams through architecture reviews, threat modeling, security reviews, audits, and other enterprise delivery requirements. Evaluate when agentic architectures are appropriate and when deterministic pipelines, traditional machine learning, or other approaches are more reliable and cost-effective. Turn successful approaches from client engagements into reusable patterns and solutions that can be applied across Zeal. Build trust with clients and internal teams through strong communication, technical judgment, problem-solving, and execution. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table We expect candidates to demonstrate a strong software engineering foundation, hands-on experience building agentic AI systems in production, and a keen interest in consulting. Agentic AI: Hands-on experience designing and shipping production agent systems involving tool and function calling, multi-step workflows, orchestration, task decomposition, or multi-agent architectures. You can explain the architectural decisions you made, what failed, and what you learned. Evaluation & Reliability: Real-world experience evaluating agent behavior and measuring system failures, including building evaluation harnesses, guardrails, grounding checks, human-in-the-loop controls, and other mechanisms that prevent or mitigate errors. Cloud Technologies: Deep hands-on experience with either Azure or AWS and the AI and infrastructure services surrounding them, such as Azure OpenAI, AI Foundry, AI Search, AKS, Amazon Bedrock, Lambda, ECS, or EKS. Software Engineering: Strong proficiency in Python or Java, API design, containers, automated testing, source control, and CI/CD, with enough machine learning knowledge to determine when traditional ML or deterministic approaches are more appropriate than an LLM. Enterprise Delivery: Experience delivering software within large organizations and working through requirements such as role-based access, data isolation, security reviews, compliance, change control, and production governance. Agent Observability: Experience designing systems for traceability, state and memory management, model routing, latency and cost visibility, retries, idempotency, and other operational concerns associated with production agent systems. Communication: Excellent verbal and written communication skills and the ability to explain complex AI systems, architectural decisions, risks, and tradeoffs to both technical and non-technical stakeholders. Problem-Solving: Strong technical judgment and a demonstrated willingness to challenge assumptions, including recognizing when an agentic solution introduces unnecessary complexity and a deterministic approach would be more appropriate. Experience with MCP and emerging tool-interoperability standards, evaluation frameworks such as RAGAS, fine-tuning, model distillation or optimization, and highly regulated industries such as financial services, insurance, healthcare, or manufacturing is helpful, but not required. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Location: Remote (Peru) Zeal is an AI-enabled software consultancy purpose-built for Fortune 1000 companies, and we’re now part of Livefront . We help companies navigate technology to drive business outcomes by attracting, retaining, and growing exceptional talent and empowering them to use innovative technologies and process frameworks. We’re a values-driven technology company grounded in kindness, generosity, and integrity. Our mission is to build a place where our employees love their future and where clients trust us to deliver what we promise: to improve their business through technology. Love your future. We’re looking for an outstanding DevOps Engineer to join our team. This role is available across our primary LATAM hub in Peru. Who you are You are an automation-minded engineer who cares about reliability, repeatability, and treating infrastructure as code. You communicate clearly with development teams and stakeholders, and you take pride in building systems that deploy smoothly and stay healthy in production. You are curious about new tools—including AI tools that improve your productivity—and you thrive in a consulting environment where clients and priorities shift. What you will be doing Design, build, and maintain CI/CD pipelines using Jenkins and GitHub Actions. Provision and manage infrastructure as code with Terraform and configuration management with Ansible. Containerize and orchestrate applications with Docker, Kubernetes, and Helm. Automate operational tasks with Python, Bash, PowerShell, and YAML. Build monitoring and observability with Prometheus and Grafana. Operate and optimize workloads across cloud platforms (AWS, Azure, GCP). Partner with development teams to improve deployment, reliability, and security. Troubleshoot, monitor, and document new and existing infrastructure. Why you should apply You want to work with passionate, talented people who are always looking for ways to make things better. You value a work environment where kindness, mutual trust, and egoless collaboration are paramount. You have a history of keeping promises, doing what is right, and spending energy on what matters. You enjoy the variety and growth that comes with consulting for Fortune 1000 companies across industries and technical stacks. You want to work on projects that have outsized impact and reach. You believe in sweating the details, committing to quality, and taking pride in going the extra mile. What you bring to the table Strong scripting skills (Python, Bash, PowerShell) and comfort with YAML. Experience with infrastructure as code (Terraform) and configuration management (Ansible). Hands-on experience with CI/CD tooling (Jenkins, GitHub Actions). Experience with containers and orchestration (Docker, Kubernetes, Helm). Experience with monitoring and observability tools (Prometheus, Grafana). Working knowledge of at least one major cloud platform (AWS, Azure, or GCP). Excellent written and verbal communication skills, along with the ability to use AI tools to improve productivity. Bonus points if you… Experience across more than one cloud platform (AWS, Azure, and GCP). Experience with GitOps workflows. Security and compliance automation experience. A background in a consulting or client-facing environment. What to expect When applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., GitHub, LinkedIn). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise which you'll have up to a week to complete. Additional information We go out of our way to evaluate all employees and job applicants equitably based on merit, competence, and qualifications. We encourage candidates from all backgrounds and identities to apply, and we consider every applicant with an open mind. Don't worry, every application will be reviewed by a human.

Мы развиваем международную продуктовую платформу в сфере CS2 и ищем руководителя клиентского сервиса, который возьмёт на себя управление командой поддержки и построит масштабируемую систему работы с пользователями. Сейчас клиентский сервис — одна из ключевых точек роста продукта. Нам нужен не администратор текущих процессов, а сильный операционный руководитель, способный выстроить функцию практически с нуля: внедрить SLA, стандарты качества, аналитику, автоматизацию, обучение команды и понятную систему взаимодействия с другими подразделениями. Главная цель роли: Превратить службу поддержки из реактивной команды, обрабатывающей обращения, в системную функцию клиентского сервиса, которая: — быстро и качественно решает проблемы пользователей; — повышает доверие к платформе; — снижает отток клиентов; — помогает возвращать пользователей в продукт; — выявляет системные проблемы и передаёт их продуктовой команде; — автоматизирует большую часть типовых обращений; — работает на основании прозрачных метрик и SLA. Основные задачи: — Управлять командой клиентского сервиса численностью около 11 человек. — Провести аудит процессов, нагрузки, структуры обращений и эффективности сотрудников. — Разработать и внедрить SLA по типам и приоритетам обращений. — Выстроить многоуровневую модель поддержки: база знаний и автоматизация → L1 → L2 → профильный отдел. — Определить правила эскалации сложных, финансовых и конфликтных кейсов. — Создать регламенты, инструкции, шаблоны ответов и единую базу знаний. — Сформировать Tone of Voice и стандарты коммуникации с пользователями. — Внедрить систему контроля качества диалогов и регулярного QA. — Настроить обучение, аттестацию и развитие сотрудников. — Создать прозрачную систему метрик и отчётности по работе поддержки. — Внедрять AI-инструменты, чат-ботов и сценарии самообслуживания. — Автоматизировать типовые обращения по платежам, промокодам, трейдам, статусам предметов и другим повторяющимся вопросам. — Выстроить систему Voice of Customer: собирать причины обращений, жалобы и предложения пользователей, превращая их в задачи для продукта. — Обеспечить взаимодействие поддержки с Product, Development, Payments, CRM, Marketing и другими подразделениями. — Управлять инцидентами и массовыми обращениями пользователей. — Планировать необходимую численность команды, смены и нагрузку. — Сформировать систему мотивации сотрудников, связанную не только со скоростью, но и с качеством решения проблем. Цели на первые 30 дней: — Провести полный аудит клиентского сервиса. — Зафиксировать текущие показатели и определить базовую точку по SLA, FRT, FCR, CSAT, QA, повторным обращениям и нагрузке. — Классифицировать основные причины обращений пользователей. — Выявить критические разрывы в клиентском пути. — Описать зоны ответственности и правила эскалации. — Подготовить план трансформации клиентского сервиса на 90–180 дней. Цели на первые 60 дней: — Внедрить базовые SLA и приоритеты обращений. — Запустить регламенты обработки ключевых типов запросов. — Сформировать и внедрить Tone of Voice. — Запустить базу знаний и единые шаблоны ответов. — Внедрить QA-карту и регулярную оценку качества диалогов. — Настроить управленческий дашборд по ключевым метрикам. — Организовать регулярное обучение и обратную связь для команды. — Запустить понятный процесс взаимодействия поддержки с другими отделами. Цели на первые 90 дней: — Обеспечить выполнение SLA не менее чем по 85% обращений. — Довести FCR — долю вопросов, решённых за одно обращение, — минимум до 70%. — Снизить долю повторно открытых обращений до 10% и ниже. — Довести внутреннюю оценку качества диалогов до 85–90%. — Запустить автоматизацию наиболее частых типов обращений. — Сформировать регулярный Voice of Customer-отчёт для руководства и продуктовой команды. — Снизить количество зависших и незакрытых обращений. — Создать прозрачную систему оценки эффективности каждого сотрудника. Цели на 6–12 месяцев: — Целевые значения должны быть подтверждены после фиксации текущей базы, но ожидаемые ориентиры следующие: выполнение SLA — 90% и выше; — CSAT — 85% и выше; — FCR — 70–80%; — QA Score — 90% и выше; — доля повторных обращений — не более 10%; — автоматизация 50–70% типовых обращений; — снижение ручной нагрузки на команду на 40–60%; — снижение стоимости обработки одного обращения минимум на 30%; — сокращение критических жалоб и эскалаций; — измеримое снижение оттока пользователей после обращений в поддержку; — формирование стабильного потока продуктовых улучшений на основании обращений клиентов. Ключевые показатели роли: — First Response Time. — Average Resolution Time. — SLA Compliance. — First Contact Resolution. — CSAT. — QA Score. — Reopen Rate. — Backlog и количество незакрытых обращений. — Количество обращений на одного активного пользователя. — Доля автоматизированных обращений. — Cost per Contact. — Retention пользователей после обращения. — Количество выявленных и устранённых системных причин обращений. Наши ожидания от кандидата: — Опыт управления клиентским сервисом или поддержкой от трёх лет. — Опыт управления командой от 10 человек. — Практический опыт построения или серьёзной перестройки службы поддержки. — Понимание SLA, FCR, CSAT, QA, WFM и других операционных метрик. — Опыт создания регламентов, базы знаний и системы контроля качества. — Умение работать с аналитикой, находить причины проблем и принимать решения на основании данных. — Опыт внедрения автоматизации, чат-ботов или AI-инструментов. — Умение работать со сложными, конфликтными и финансовыми обращениями. — Сильные навыки управления командой: найм, адаптация, обучение, мотивация и performance management. — Способность взаимодействовать с продуктом и разработкой и добиваться устранения первопричин обращений. — Умение одновременно повышать качество сервиса и контролировать его экономическую эффективность. Будет преимуществом опыт в gaming, iGaming, fintech, crypto, marketplace, e-commerce или другом высоконагруженном B2C-продукте. Какого человека мы ищем: Нам нужен системный и самостоятельный руководитель, который умеет не только управлять людьми, но и строить процессы. Человек, способный погрузиться в реальные обращения пользователей, найти корневые проблемы, сформировать целевую модель и довести изменения до измеримого результата. У руководителя будет необходимый уровень полномочий для изменения процессов, внедрения инструментов и взаимодействия с другими подразделениями.

Location: Nisku, Alberta Senior Payroll Administrator Full-time Permanent Nisku, AB Work with people who treat you like friends. Imagine an office where everyone is watching out for you because they know you’re watching out for them. Our company sees construction as a team sport, so we care about each other as a team. That level of caring filters through investments in local community groups and charities because we also care about the communities we work in. Michels Canada empowers your personal and professional growth, equipping you with the tools and support needed to create impactful solutions that shape a better future for others. About us Michels Canada is a nationally recognized general contractor specializing in energy, infrastructure, and construction. Headquartered in Nisku, Alberta, we also operate offices in British Columbia and Ontario. We are part of the Michels Family of Companies. The Michels Family of Companies is a privately owned, global construction organization with operations across North America, Australia, Singapore, and Germany, headquartered in Brownsville, Wisconsin, USA. Description: The Senior Payroll Administrator is responsible for the accurate and timely processing of payroll and union benefit administration while ensuring compliance with applicable legislation, collective bargaining agreements, and company policies. This position plays a key role in supporting payroll operations, maintaining data integrity, and providing exceptional service to employees and stakeholders. The ideal candidate possesses strong analytical abilities, exceptional attention to detail, and the ability to manage confidential information in a fast-paced environment. Responsibilities: Maintain and promote a strong safety culture for all employees, vendors, and customers. Follow all safety policies, procedures, and regulations. Identify and communicate workplace hazards and correct or seek assistance in correcting unsafe actions or conditions. Coordinate and process payroll activities, including payroll processing, reporting, auditing, and year-end payroll activities. Review employment agreements, offer letters, and union benefit requirements to ensure contractual compliance. Support payroll system administration, including payroll setup, maintenance, and calculations. Maintain payroll records and perform data entry with a high degree of accuracy. Conduct payroll audits and investigate discrepancies to ensure accurate employee compensation. Serve as a primary point of contact for payroll and union benefit inquiries from employees and operational leaders. Develop, maintain, and analyze payroll reports utilizing various reporting tools and systems. Assist with regulatory reporting and compliance requirements. Identify opportunities for process improvements and support implementation of best practices. Provide mentorship and training to team members while contributing to a collaborative and cross-functional department. Maintain knowledge of payroll legislation, prevailing wage requirements, and collective bargaining agreements. Participate in special projects and perform other duties as assigned. Requirements: High school diploma or GED required. Minimum 5 years of payroll and/or union administration experience. Experience within construction, infrastructure, or industrial environments is preferred. PCP designation through the National Payroll Institute, or actively working toward designation. Advanced proficiency in Microsoft Excel and Microsoft Office Suite. Experience working with Workday. Experience supporting ERP implementations or payroll system enhancements. Strong analytical, organizational, and problem-solving skills. Ability to manage confidential information with professionalism and discretion. Exceptional attention to detail and accuracy. Excellent communication and customer service skills. Experience administering payroll for unionized workforces and working with Trimble Viewpoint and B2W systems will be considered an asset. Benefits We offer competitive total compensation, meaningful and challenging work, and an engaging and collaborative environment. For more information on our company, please visit our website at www.michelscanada.com . We thank all applicants for their interest; however, only those under consideration will be contacted. For other opportunities at Michels Canada, join us at https://www.michelscanada.com/jobs/apply/ . It is our commitment to create a diverse workforce and an inclusive culture. We are proud to be an equal opportunity employer. All applicants will be considered for employment regardless their race, color, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by applicable laws, regulations, or ordinances. If you need assistance and /or a reasonable accommodation due to a disability during the application or the recruitment process, please send us an email to: careers@michelscanada.com . No recruitment agencies, please! **Please be aware! ** It has come to Michels Canada attention that job seekers have received false employment offers from individuals or organizations posing as Michels Canada. Please keep in mind these important tips: Michels Canada does not require payment from anyone seeking employment at any time during the recruitment and/or selection process. All recruitment email correspondence comes from email addresses displaying the correct spelling of our company name: @michelscanada.com or @michels.us. Formal offers of employment are only made once the recruitment and selection process are complete. Personal and banking information is NOT collected until you have been personally onboarded by our HR team. We do not extend any formal offers of employment or execute employment agreements through text messaging, social media, job posting websites or social chat platforms. We take this matter seriously and are continuously working with the appropriate authorities. Please remain aware of this matter, report any suspicious outreach to your local authorities, and email any concerns to hrcompliance@michelscanada.com . Please note: resumes sent to this email will not be considered; please apply directly to our current career opportunities at https://www.michelscanada.com/jobs/apply . #Canada AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: New York City, New York What you’ll be part of Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster. The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can. About the role We are looking for an Email Marketing Manager to join our Demand Generation team and own our email channel end to end. Reporting directly to the VP of Demand Generation, you will build the programs that keep Garner in front of employers and the health insurance brokers who advise them, from first download to booked demo. You will work closely with our Demand Generation, Product Marketing, Marketing Operations, and Sales teams to turn a growing database into qualified pipeline. What you will do Own the email channel for our employer and broker audiences, from strategy through send. Build and run nurture journeys in HubSpot, from first touch through re-engagement. Build and manage the one-to-one sequences BDRs and sales send after marketing engagements. Run the email calendar and newsletter, and support webinar and event promotion. Write email copy that earns attention from benefits leaders and health insurance brokers. Keep the database healthy through segmentation, suppression, and deliverability standards. Test, measure, and report on email's contribution to pipeline, and scale what works. What we're looking for 4+ years of B2B email or lifecycle marketing experience, owning programs end to end. Proficiency building workflows, segments, and tests in HubSpot or a similar platform. Strong writing skills, with B2B email samples you wrote yourself. Comfort reading email and funnel data, from clicks and conversions to pipeline. Working knowledge of deliverability, list hygiene, and email compliance. Fluency applying AI to write, test, and scale email programs. A desire to do work that matters: and to be held to a high standard while doing it. You're energized by a mission with measurable outcomes, not just good intentions. You engage with AI tools as part of how you do your best work, and hold yourself accountable to outcomes that matter beyond your team's metrics. Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time. What you'll get here: You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission. At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose. Compensation Transparency: The target salary range for this position is $125,000 - $140,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com . Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com .

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

Location: San Francisco Perplexity is continuing to rapidly scale our Enterprise Engineering Organization and seeking Engineering Managers with deep expertise across the Enterprise domain to help lead the next wave of growth. As an Enterprise Engineering Manager, you will combine technical judgment, product intuition, and people leadership to help large organizations adopt AI at scale. We are hiring across the enterprise control plane, enterprise data plane, and connector marketplace and activation. Depending on your area of focus, you will lead and grow a team in one of these areas, addressing challenges such as: Enterprise Control Plane: Building the identity, security, and governance foundations that enable large organizations to deploy Perplexity confidently, including SSO, SCIM, role-based access, customer-managed encryption keys (BYOK), admin APIs, and enforceable policies governing access to data, models, and tools. Supporting regulated-industry requirements, including SOC 2, HIPAA, data governance, and residency, with audit logs and analytics that give administrators visibility into how Perplexity is used. Enterprise Data Plane: Building the connector platform and semantic data layer that give Computer reliable, permission-aware access to enterprise systems and knowledge, including managed authorization, private-system access, and data freshness. Connector Marketplace and Activation: Building discovery, recommendations, onboarding, and marketplace experiences that help customers find and adopt integrations, while working with partners to expand the connector ecosystem. Across these areas, you will translate enterprise customer needs into scalable technical solutions across Perplexity’s products. RESPONSIBILITIES - Set technical direction for your team and guide architecture decisions across the enterprise platform. - Build the foundational systems that enable large organizations to deploy Perplexity broadly and confidently. - Shape roadmaps with product and design, applying strong technical judgment and product intuition. - Set a high bar for reliability, code quality, testing, and maintenance. Lead incident response and ensure platform changes and connector migrations are rolled out safely. - Partner with engineering teams across the company to ensure the platforms we build are extensible and easy to adopt. - Represent engineering in strategic enterprise customer conversations, partnering with sales and customer success to understand requirements and remove barriers to adoption. - Oversee hiring, onboarding, and mentorship for a rapidly growing team. Develop rigorous interview pipelines and work closely with recruiting to source candidates. - Work with Perplexity’s co-founders to deliver enterprise engineering priorities. QUALIFICATIONS - Strong technical judgment and experience building enterprise platforms or products, with an understanding of the reliability, security, and usability requirements of enterprise customers. - Domain expertise in at least one of the following areas: - Enterprise control plane: identity and access management, SSO/SCIM, role-based access, key management, admin APIs, policy enforcement, audit logging, data governance, or compliance and residency requirements for regulated industries. - Enterprise data plane: connector and integration platforms, including authentication, source-system permissions, data synchronization, and reliability at scale; or semantic data layers and knowledge platforms that make enterprise data accessible and useful to AI. - Connector marketplace and activation: discovery and recommendation systems, integration onboarding, marketplace product UX, or technology partner ecosystems. - Ability to deliver in a fast-moving environment while balancing customer needs, technical quality, and long-term maintainability. - Detail-oriented and quality-focused - our customers run critical workflows on Perplexity, and our product needs to stay robust and reliable. - Ability to translate enterprise customer needs into clear technical priorities and communicate tradeoffs effectively. - Experience building and managing high-performing engineering teams, with a strong management practice grounded in clear feedback, effective 1:1s, career development, and recruiting and retaining high-caliber talent. - Ability to lead parallel technical initiatives, align strong technical perspectives, and make clear prioritization and tradeoff decisions. - Experience with AI/ML products, enterprise AI adoption, or scaling enterprise platforms at a startup is a plus. - 8+ years of engineering experience, with at least 4 of those years as an engineering manager.

EDB provides a data and AI platform enabling organizations to harness the full power of Postgres for transactional, analytical, and AI workloads across any cloud. The company supports over 1,500 customers globally, including government organizations, financial services, media, and IT companies, offering enterprise-grade open source technologies with high availability and mission-critical capabilities such as security, compliance controls, and observability. The position is 100% remote. The role involves designing, implementing, and maintaining the EDB Postgres Distributed (PGD) product, a multi-master distributed PostgreSQL solution providing high availability, geographic distribution, and active-active replication for enterprise workloads. Responsibilities: — Design, develop, test, and document new PGD capabilities — Maintain and improve performance and usability of existing PGD capabilities — Analyze business requirements and translate them into executable tasks — Provide world-class production support to PGD customers — Participate in code reviews and collaborate with a globally distributed team Requirements: — 5+ years of software engineering experience — Strong proficiency in C programming — Experience with PostgreSQL internals (storage engine, WAL, replication, catalog system, or extension development) — Understanding of distributed systems concepts including replication topologies, consensus, conflict resolution, eventual consistency, and failure modes — Experience with multi-version/multi-branch codebases and active backporting workflows — Familiarity with build systems and CI/CD practices — Comfortable working with Git on large, long-lived codebases with complex branching — Strong debugging and performance analysis skills Advantages: — Prior contributions to PostgreSQL or other open-source database projects — Experience with logical replication, logical decoding, or custom replication solutions — Knowledge of distributed consensus algorithms such as Raft — Familiarity with PostgreSQL extension API and hook system — Experience with high availability architectures and failover mechanisms — Experience with Python and Rust — Experience with major cloud providers: AWS, Azure, GCP — Experience with Ansible, Docker, and Kubernetes EDB supports employee well-being with benefits including access to health and wellness resources and Wellness Fridays through December 2026. EDB is an equal opportunity employer committed to diversity, inclusion, trust, and respect. EDB does not accept unsolicited resumes from recruitment agencies without a signed agreement.

Location: San Francisco, CA, USA About the Role As a Tech Lead Manager on Chime's Data Intelligence Platform, leading the Data Integration Platform team, you will own the group that builds and operates the platform and infrastructure for the ingress and egress of first-party and third-party data into and out of Chime's ecosystem. Your team will be responsible for building and operating reliable, scalable, and secure integration pipelines and connectors that move data between Chime's internal systems and external partners, vendors, and data providers, powering analytics, experimentation, and AI-driven product experiences across Chime. You'll partner closely with other Data Intelligence Platform squads as well as Product Engineering, Security, and Analytics teams to define integration patterns, data contracts, and SLAs that govern how data enters and leaves Chime, supporting both high-scale batch workloads and latency-sensitive real-time flows. Your leadership will directly impact how Chime ingests, exchanges, and delivers data - enabling trusted, self-serve, AI-ready data for Chimers across the company. Chime’s data integration platform is entering its next phase. As our data ecosystem grows, we have a significant opportunity to simplify and standardize how data moves across streaming, batch, and third-party integrations. You will lead the evolution toward a unified, secure, and reliable data conveyance platform while helping advance Chime’s lakehouse architecture. This is a manager-first, hands-on player-coach role. Your primary responsibility is leading and developing the team - setting direction and priorities, coaching engineers, and owning delivery and operational health. You will also remain technically engaged through high-leverage problems: shaping architecture, guiding designs, reviewing critical changes, and writing production code where it unlocks the team’s progress. In this role, you can expect to Own the strategy and roadmap for Chime's Data Integration Platform, including ingestion pipelines, connectors, and the infrastructure that moves first-party and third-party data into and out of Chime's ecosystem. Stay hands-on through architecture, design and code reviews, and targeted production contributions focused on the highest-leverage platform problems, while coaching engineers and owning team execution. Design and evolve scalable, high-performance integration architecture that balances reliability, cost, and ease of use for both analytical and in-product data flows. Build and operate reliable connectors and pipelines for diverse sources and sinks across APIs, event streams, file transfers, and change-data-capture. Ensure performant and secure data movement by defining ingress/egress patterns, throughput and latency targets, schema evolution, and error handling / replay for key data flows. Collaborate across the Data Intelligence Platform and partner teams to define clear data contracts, schemas, and SLAs between producers, the integration layer, and consumers including external partners. Build tooling and automation for governance and compliance across sources and sinks (e.g., RBAC, PII protection, tokenization, lineage, and auditability), with particular attention to data leaving Chime's boundary, in partnership with Security, Risk, and Compliance. Manage and grow a team of engineers, setting clear expectations, providing coaching and feedback, and raising the bar on engineering quality and operational excellence. Establish strong operational practices, including on-call, incident management, postmortems, and SLOs for the integration pipelines and connectors your team owns. Stay ahead of industry trends in data integration, streaming, and ingestion/egress tooling, and thoughtfully introduce technologies that improve our platform's capabilities. To thrive in this role, you Have 8+ years of experience in high-scale, high-reliability software development, with a focus on platforms, infrastructure, and data integration or data movement systems. Have 3+ years of experience managing engineering teams, including hiring, performance management, and developing engineers. Bring hands-on coding ability and a genuine desire to remain technical while leading a team. You are comfortable writing and reviewing production code, particularly where it resolves ambiguity or unlocks the team’s progress Have a track record of scaling products, platforms, and operations to support rapid growth in data volume, complexity, and criticality. Bring deep experience with data integration and movement components, such as ingestion and CDC pipelines, connector frameworks, event streaming, and API- and file-based (e.g., SFTP) data exchange alongside the data lakes/lakehouses (e.g., Iceberg) and warehouses (e.g., Snowflake) they feed and drain. Have proven expertise in system and data architecture for scalable, secure, and cost-efficient data platforms, including schema design, data contracts, and schema-evolution strategies across system boundaries. Are comfortable working with modern data and infrastructure technologies, such as Kafka, Flink, Spark, Airflow, Kubernetes, and connector/ingestion tooling (e.g., Debezium, Fivetran/Airbyte-style frameworks). Are hands-on proficient in Python (preferred) or a comparable language (e.g., Java, Scala), able to write, review, and ship production-quality code, and are fluent in SQL and performance tuning for analytical workloads. Have extensive experience in cloud-based data ecosystems, such as AWS (S3, DynamoDB, Redshift, Snowflake, EMR), GCP (BigQuery, Dataflow), or Azure equivalents. Understand data governance, security, and compliance best practices (e.g., RBAC, PII handling, auditability) especially for third-party data sharing and data crossing Chime's trust boundary and have helped design systems that meet regulatory and internal standards. Are deeply interested in the transformative potential of advanced AI systems and how to build AI-ready data foundations (metadata, lineage, semantic layers, and reliable data pipelines that feed them). Excel at building strong relationships with stakeholders across engineering, product, analytics, security, and finance, as well as external partners and vendors, and can translate between technical and business contexts. Demonstrate strong people leadership, with a track record of building a culture of belonging and engineering excellence. #LI-DA1 #LI-Onsite Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $199,000 — $275,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Mexico City Workplace: OnSite The Chainalysis Deployment Strategy team helps public and private sector customers investigate financial crimes involving cryptocurrency. We combine technical knowledge with analytical rigor to support complex investigations and build regional capacity for blockchain analysis. In the LATAM and Caribbean region, our team works directly with customers to enable them in the fast-moving world of cryptocurrency investigations. Along the way, we make the world a safer place. As a Deployment Strategist I, you will support cryptocurrency investigations, conduct research and data analysis, and help deliver training to customers across the LATAM and Caribbean region. You will learn to use Chainalysis tools and data to develop insights on illicit activity trends in crypto, and you will present findings to team members and customers. This is a growth-oriented role for someone eager to build expertise in blockchain analysis while contributing to complex financial crime investigations alongside senior team members.   In this role, you'll: - Support complex cryptocurrency investigations in collaboration with senior team members and cross-functional partners at Chainalysis - Conduct research and data analysis on financial crime cases involving cryptocurrencies, and document your findings in clear reports - Present investigative findings to team members and customers - Assist in reviewing the completeness of investigations and data collection methods to help determine the authenticity and relevance of evidence - Prepare summaries of research and analysis that highlight recommendations, follow-up leads, and potential risks to an investigation - Contribute to the development and delivery of workshops and training materials in English and Spanish - Represent the Chainalysis mission of bringing trust to blockchains with customers and partners in the region   We're looking for candidates who have: - A degree in cybersecurity, criminal justice, intelligence, forensic accounting, data analytics, finance, or a related field - 1-3 years of professional experience in financial crime investigations, intelligence analysis, law enforcement, compliance, or a related analytical role - Strong research skills, including experience with open-source intelligence and public or private databases - Interest in or passion for blockchain and cryptocurrency technology - Fluency in Spanish and English - Strong written and verbal communication skills - Ability to manage multiple tasks and work both independently and as part of a team - Based in Mexico City or willing to relocate Nice to have experience: - Familiarity with Chainalysis products (Reactor, KYT, or similar tools) - Working proficiency in Spanish - Previous experience supporting or conducting investigations related to dark web markets, counter-terrorism financing, or sanctions evasion - Exposure to cryptocurrency exchanges, DeFi protocols, or blockchain technology in a professional setting - Relevant certifications such as CCFC (Chainalysis Cryptocurrency Fundamentals Certification), CDAF, CRC, CCI, CFE, or CAMS AI at Chainalysis AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it. AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before. About Chainalysis Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation. You belong here.  At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: The Storage Team at Honeycomb is the backbone of our platform, responsible for the performance, reliability, and scalability of storing and querying billions of events. We design and own the architecture that powers correct and dependable query results — enabling every product experience from Metrics to Triggers and SLOs. As a senior engineer on Storage, you’ll work on high-impact systems where our customers may never see your code directly, but they’ll rely on it every time they use Honeycomb. What you’ll do in the role: Build and deliver high-quality solutions. You will design and implement solutions that power Honeycomb’s query and data storage infrastructure. Whether it’s improving query performance, evolving the Retriever service, or making our storage layer more reliable, you’re eager to jump in and add value where the team needs it most. Scope and deliver projects independently. You’re comfortable breaking down complex storage and querying problems into achievable steps, surfacing trade-offs, and pulling in teammates when needed. You take ownership end-to-end — from design to production support — reducing toil and ensuring our systems deliver measurable customer and business impact. Collaborate with cross-functional partners. You’ll work closely with Product Management and other engineering teams to connect technical solutions to product needs, from problem discovery through solution design and delivery. Much of our work is behind the scenes, but it enables every Honeycomb product experience, from Metrics to Triggers and SLOs. Support our services in production. We believe in owning the software we build. Every engineer on Storage participates in on-call rotations, helps define team KPIs and SLOs, and proactively reduces toil by addressing reliability challenges before they reach customers. Learn new ways to solve complex problems. As Honeycomb grows, so do the challenges of scaling our systems. You will explore new technologies, data storage techniques, and query optimization strategies to keep performance and reliability strong at scale. Thrive on collaboration. You enjoy pairing, reviewing code, and offering constructive feedback. You model strong ownership and help your teammates grow, while keeping conversations forward-looking and focused on business value. What you’ll bring to the role: Technical leadership in storage and querying. You’ve led the design of patterns and guidelines that improve performance and reliability, and you bring expertise in writing Go along with experience working on high-throughput or complex systems. Prior experience with database engineering is a plus, as is comfort with Kubernetes. Curiosity and experimentation. You learn by digging in — individually, in pairs, or as a team. You ask questions to better understand complex systems, explore trade-offs, and believe in learning from incidents as a way to improve both technology and practices. Focus on business outcomes. You tie technical decisions to customer and company impact, weighing whether work is necessary now or later, and considering how projects affect the broader business. Strength in mentorship and teamwork. You guide engineers through code reviews and help spread knowledge across a team with diverse skillsets so that ownership of critical paths is shared, not siloed. Resilience in collaboration. You thrive in a senior-heavy team, giving and receiving feedback with grace, and contributing to a culture where tough problems and hard conversations lead to better outcomes. Execution with impact. You can scope and deliver complex, multi-team projects while balancing production realities, proactively reducing toil, and ensuring systems deliver measurable customer value. Deep debugging expertise. You’re trusted to diagnose and resolve the toughest production issues across the stack, restoring reliability where others may be stuck. Influence beyond your team. You multiply impact by sharing knowledge, guiding adoption of new technologies, and driving foundational work that benefits Honeycomb engineering as a whole. Base Salary based on level of experience $250,000 — $280,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a hands-on Staff Platform Engineer to do three things at once: build the golden roads and paved paths our engineering teams build on, define the north star architecture the organization moves toward, and design and deliver our AI-enabled capabilities. This is the hub role for technical direction at Gravie: long-term architectural direction and the standards that carry it converge here and radiate outward across teams. The ideal candidate combines deep distributed systems and AWS experience with real production generative AI experience, and is equally credible building a paved path teams voluntarily adopt and setting a target-state architecture the whole organization will inherit. They have established standards, reference implementations, and paved roads that engineers actually use, not just architecture documents. They will partner across Engineering, Product, Data, Security, and Infrastructure, and will work most closely with our Platform Engineering team, which is the primary vehicle for making change stick across the organization. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. This is a deliberately split role: roughly 40% golden roads and paved paths (hands-on, reference implementations, shared libraries, service templates, scaffolding, pipelines - a path isn't paved until a team other than yours has shipped on it), 30% north star architecture (published decisions that get adopted and enforced by tooling, not just written down), and 30% AI solutions (agent systems, retrieval and context design, evaluation, and guardrails). The mix shifts by quarter. Being the hub does not mean being the bottleneck - a good year looks like teams making more decisions on their own because direction and the paved path are clear enough to follow without asking. The role is planned and reviewed on this split, not funded out of leftover capacity; part of the job is saying out loud when the split is breaking toward a support desk. KEY RESPONSIBILITIES - Build the paved paths teams build on, including reference implementations, shared libraries, service templates, scaffolding, and pipeline templates, so the recommended way is also the easiest way. - Treat the paved road as a product with real users: measure adoption and time to first success, and fix the parts people route around. - Do the first real implementation yourself, on a real workload with a real team, not in a demo repository. - Build the distributed systems patterns the paths encode: backend services, event-driven workers, job pipelines, APIs, and relational data models. - Partner with the Platform Engineering team as the primary delivery vehicle - build paved paths with them, plan into their roadmap, and hand off sustaining ownership of what becomes shared infrastructure. - Own migration and adoption, including moving existing services onto the path and retiring what it replaces. - Stay in code review across teams and close to production incidents as primary evidence of where the path is failing. - Define and publish the target-state architecture, with clear owners and decision dates, and keep it current as the business changes. - Own the AWS foundations product and AI workloads depend on: multi-account structure and identity boundaries, network and data isolation, compute and serverless runtimes, managed data services, and tagging and cost governance. - Drive standards adoption to completion - from documents into pipelines, with adoption measured across repositories and teams. - Lead buy, build, and reuse decisions, evaluating models, frameworks, and vendors on accuracy, latency, reliability, privacy, security, and cost evidence. - Reduce surface area as deliberately as you add it - consolidate overlapping tools and standards and own the sunset path for what gets replaced. - Design and build production-grade AI agent systems, including multi-agent workflows, orchestration layers, and supporting services. - Design retrieval, context, and memory systems that ground AI outputs, including how sensitive data is scoped, redacted, and audited. - Develop AI-powered decision-support systems meeting the accuracy, traceability, and explainability requirements of healthcare and other regulated environments. - Build product-quality user experiences using React and TypeScript where AI capability has to become understandable and actionable. - Establish patterns for AI quality assurance - automated evaluations, regression testing, groundedness checks, and compliance guardrails - so those requirements are met by default. - Establish one standard way to build, run, evaluate, and operate AI systems. - Act as the connective point across teams: surface duplicated effort, pick up decisions with no owner, and align teams heading toward the same problem. - Drive cross-team communication - writing, demos, and working sessions - so direction and tradeoffs are understood by teams not in the room. - Build alignment where incentives differ across teams, and surface disagreement rather than resolving it quietly. - Contribute to roadmap and capacity planning so paved path, foundational, and AI work is sequenced alongside product commitments. - Work through the Platform Engineering team to effect change at organization scale rather than standing up competing surfaces. - Facilitate collaboration between engineering teams, Product, Data, Security, and Infrastructure, including running forums where cross-cutting work gets planned and unblocked. - Represent technical direction to leadership and carry business context back to engineering. - Partner with Product to shape the roadmap and translate ambiguous business problems into architecture. - Raise the engineering bar through design review, mentorship, and a working decision-record practice, and make architectural context available to both engineers and agents. - Partner with Security, Compliance, and Data on AI governance, access control, and data handling, designed in rather than retrofitted. QUALIFICATIONS - Eight or more years of software engineering experience, including time with architecture scope and an organization-wide remit, and ownership of complex systems from design through production. - Still shipping: writes and reviews code today, can open a meaningful merge request in an unfamiliar codebase within the first weeks. - Experience building internal platform capability that other teams voluntarily adopted - can name the paved path or golden road built, how many teams moved onto it, and what they routed around. - Hands-on experience building and operating production AI applications, not only prototypes, including evaluation, monitoring, failure handling, guardrails, latency, and cost control. - Deep AWS expertise across a multi-account organization: identity and permission boundaries, networking, compute and serverless runtimes, managed data services, managed model services, and cost and tagging governance. Infrastructure as code in Terraform, CDK, or both. - A track record of establishing architectural foundations where little existed - specific standards introduced, how they were adopted by teams that did not report to the candidate, and which failed and why. - Hands-on experience with agentic software development - using AI coding agents to create specs and plans, execute meaningful multi-step work, run and fix tests, validate results, and iterate while owning architecture, quality, and what ships. - Deep expertise in at least one primary area (Python or JVM backend and distributed systems, or React and TypeScript product engineering), plus ability to work across the full system. - Experience with retrieval, embeddings, context, memory, evaluation, monitoring, or AI agent architectures and workflows. - Strong judgment in testing, monitoring, failure handling, privacy, security, access control, and data governance, carried into a regulated or audited environment. - Experience working with or inside a platform or infrastructure team as the delivery vehicle for organization-wide change, including how ownership was divided and how a parallel platform was avoided. - Experience serving as a central technical point across multiple teams, with evidence of making those teams faster rather than becoming their approval gate. - Demonstrated ability to create alignment across disagreeing teams, and to contribute to roadmap and capacity planning so foundational work is actually scheduled. - Clear written communication and effective collaboration across technical and non-technical teams; influence without authority is the primary tool of this role. PREFERRED QUALIFICATIONS - Healthcare, health insurance, or benefits administration, including ICHRA, claims, eligibility and enrollment, or interoperability standards such as EDI and FHIR. - Previous experience in a venture-backed high growth company. - Internal developer platform or developer experience work, including golden path or paved road programs and adoption measurement. - Experience with GitLab CI at scale, including shared and templated pipelines. - Production observability and LLM observability practice, including Datadog. - Event-driven and streaming architecture, such as Kafka or Flink. - Practical experience with agent tooling and standards such as Claude Code, the Model Context Protocol, and agent SDKs. - Experience defining an AI governance or technology radar process alongside a security or compliance partner. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.