Director, Sales Specialist
Staff Software Engineer - Data Infrastructure
Sr. Engineering Manager, AI Runtime
Sr. Counsel, Product
Director, Sales Specialist
Senior Business Technology Product Manager- Supply Chain Planning
Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.
Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.
About the role:
We are seeking a Senior Product Manager to define, build, and scale the technology ecosystem powering Samsara's end-to-end supply chain operations. This role sits at the intersection of business strategy, product management, enterprise architecture, and emerging technology — translating complex supply chain challenges into scalable digital solutions including enterprise platforms, integrations, automation, AI-powered workflows, and intelligent decision-support capabilities.
You will own the product vision, strategy, architecture, and roadmap across planning, procurement, supplier collaboration, fulfillment, order management, logistics, and reverse logistics — driving build-vs-buy decisions and delivering measurable business outcomes through technology transformation. You will partner closely with Supply Chain Operations, Business Technology, Engineering, Data, Finance, and external technology partners to modernize Samsara's supply chain capabilities and enable scalable global operations.
This is a remote position open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area.
You should apply if:
Product Strategy, Vision
- Drive the multi-year product vision, strategy, target-state architecture, roadmap, and investment priorities for Supply Chain technology capabilities
- Lead product strategy across a portfolio of enterprise supply chain systems, balancing business outcomes, customer needs, technical feasibility, scalability, and long-term value
- Identify systemic operational friction and translate business challenges into scalable product, platform, automation, and AI solutions
- Define success metrics, value realization frameworks, and measurable outcomes across adoption, efficiency, cost savings, and operational performance
- Influence senior leaders by connecting business strategy, technology capabilities, and transformation opportunities.
- Own a functional portfolio spanning planning, procurement, order management, fulfillment, and reverse logistics
- Analyze current-state processes, identify root causes, and design future-state operating models and workflows
- Translate complex supply chain processes into scalable product capabilities, user journeys, system requirements, and integration patterns
- Drive modernization from fragmented tools and manual processes toward connected, intelligent supply chain platforms
- Ensure core platforms (ERP, planning, and analytics systems) work together to support reliable, efficient end-to-end operations
- Partner with business teams to redesign processes where technology, automation, and AI can unlock significant operational leverage
- Define end-to-end application, integration, data, and platform architecture across ERP, planning, analytics, and AI ecosystems
- Establish scalable architecture patterns enabling reliability, extensibility, governance, and long-term maintainability
- Lead technology evaluations, vendor assessments, and build-vs-buy decisions
- Drive simplification of application landscapes, reduction of technical complexity, and creation of reusable capabilities
- Evaluate emerging technologies to identify opportunities for strategic advantage
- Identify high-value AI and automation opportunities across supply chain operations to improve productivity, decision-making, and operational agility
- Define and execute AI-enabled product strategies leveraging LLMs, AI agents, agentic workflows, MCPs, predictive analytics, and optimization models
- Design and scale AI-powered solutions that integrate enterprise data, business workflows, and operational systems to reduce manual effort and accelerate decisions
- Partner with Engineering, Data Science, and Architecture to take AI initiatives from experimentation through production deployment and measurable business impact
- Establish responsible AI practices covering governance, security, data quality, transparency, and continuous improvement
- Own the end-to-end product lifecycle from ideation through deployment and continuous improvement
- Define user stories, acceptance criteria, and backlog prioritization, and partner with engineering to deliver
- Ensure solutions are scalable, well-documented, and aligned with governance and compliance standards
- Build alignment across senior leaders and cross-functional teams: Supply Chain, Business Technology, Engineering, Data, Finance, Procurement, and Operations
- Navigate ambiguity and solve complex problems where there is no predefined solution
- Mentor product managers and technology partners to raise product maturity and execution standards
- Establish best practices around discovery, prioritization, product thinking, and outcome measurement
- Define and track KPIs including forecast accuracy, inventory turns, service levels, cycle time, automation rate, and cost savings
- Monitor system performance and business impact post-deployment
- Continuously refine systems and features based on data insights and stakeholder feedback
- Champion and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as the company scales globally and across new offices.
- 10+ years in Product Management, Supply Chain, Solutions Architecture, or Digital Transformation with ownership of a functional domain or enterprise systems portfolio
- Strong understanding of end-to-end supply chain processes: Design-to-Release, Forecast-to-Plan/Build, Order-to-Cash, Procure-to-Pay, and Returns/Reverse Logistics
- Hands-on experience delivering enterprise systems, integrations, and process automation, including AI/ML or advanced analytics in operational contexts
- Ability to translate complex business problems into clear technical requirements and target-state architecture
- Proven ability to influence and align senior, cross-functional stakeholders in a matrixed environment without direct authority
- Strong collaboration and communication skills across technical and non-technical global teams
- Strong documentation discipline, and high attention to detail
- Familiarity with agile methodologies
- Experience owning systems or platform roadmaps within a Business Technology or Corporate Systems organization
- ERP experience: NetSuite, Oracle, or SAP
- Advanced Planning Systems experience: E2open, Kinaxis, Blue Yonder, or Oracle
- Salesforce knowledge
- Data and integration ecosystem experience: Databricks, cloud platforms (Azure, AWS, GCP), APIs, and integration platforms such as Workato or MuleSoft
- Working knowledge of SQL and analytics
- Experience with Large Language Models and core ML concepts: forecasting, optimization, classification, and anomaly detection
- Hands-on experience building AI-powered solutions: AI agents, MCP-based integrations, AI copilots, RAG applications, and LLM-powered workflows
- Familiarity with AI tools such as Claude, ChatGPT, Gemini, or enterprise AI assistants
- MBA or Master's degree in Supply Chain, Analytics, Engineering, Computer Science, or a related field
Annual Base Salary
$131,197.50—$198,450 USD
Total Rewards
At Samsara, we build for the people who keep the global economy moving. We want owners, not passengers, which is why our rewards are designed to fuel high-impact builders. Our compensation program delivers above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles) in a high-growth public company. We meaningfully differentiate pay for our top performers, who have the opportunity to earn above-market compensation that can outpace the broader market over time.
Beyond compensation, we provide the foundations that enable long-term success: a flexible, employee-led remote model, a professional development stipend, comprehensive health and parental leave plans, and more. If you’re ready to build for the long term and own the outcome, your journey starts here.
Flexible Working
At Samsara, we embrace a flexible working model that caters to the diverse needs of our teams. Our offices are open for those who prefer to work in-person and we also support remote work where it aligns with our operational requirements. For certain positions, being close to one of our offices or within a specific geographic area is important to facilitate collaboration, access to resources, or alignment with our service regions. In these cases, the job description will clearly indicate any working location requirements. Our goal is to ensure that all members of our team can contribute effectively, whether they are working on-site, in a hybrid model, or fully remotely. All offers of employment are contingent upon an individual’s ability to secure and maintain the legal right to work at the company and in the specified work location, if applicable.
Belonging at Samsara
At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, and other characteristics protected by law. We depend on the unique approaches of our team members to help us solve complex problems and want to ensure that Samsara is a place where people from all backgrounds can make an impact.
Accommodations
Samsara is an inclusive work environment, and we are committed to ensuring equal opportunity in employment for qualified persons with disabilities. Please email accessibleinterviewing@samsara.com or click here if you require any reasonable accommodations throughout the recruiting process.
Our Commitment to Authenticity
We use Tofu, a fraud detection tool, to validate the authenticity of applications and protect against identity fraud. This ensures we are connecting with real people and allows us to prioritize genuine candidates. Please see Samsara’s Candidate Privacy Notice for more information.
Fraudulent Employment Offers
Samsara is aware of scams involving fake job interviews and offers. Please know we do not charge fees to applicants at any stage of the hiring process. Official communication about your application will only come from emails ending in @samsara.com, @us-greenhouse-mail.io or @mail3.guide.co. For more information regarding fraudulent employment offers, please visit our blog post here.
Senior Forward Deployed Data Engineer, Data Modernizaton
Transform healthcare with us.
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
About Forward-Deployed Engineering at QH. Data Modernization is a forward-deployed function. Every role on this team — leadership and IC alike — works directly with health system customers, on-site and in their environments, throughout the engagement. This is not a back-office data role: you'll sit with the customer's data and IT teams, present your work to their technical leadership, and be accountable for outcomes they can see. All roles are Senior/Staff level or higher.
Note on platform specialization: We are hiring Senior / Staff Data Engineers who each own deep expertise in one of our three target platforms — Databricks, Snowflake, or Microsoft Fabric. This single posting covers all three seats; we'll match you to the platform where your depth is strongest during the process. The core of the role — landing health system data in a modern lakehouse and serving as the platform-specific technical lead on an engagement — is the same across all three.
Job Summary
This is the role where the data actually moves. As a Senior Forward Deployed Engineer on the Data Modernization team, you own the platform-specific build that takes a health system from legacy connectivity — flat files, manual SFTP, a half-finished Clarity database — to a modern, AI-ready lakehouse that can serve our agentic AI workflows at full speed.
You are the deep platform expert for your stack. During an active engagement, you serve as the platform-specific technical lead under the Principal Solutions Architect: you own the ingestion, the medallion architecture, the governance configuration, and the data-sharing pattern on your platform. Between engagements, you sustain our production environments, build the accelerators and reusable IP that make the next engagement faster, support pre-sales technical discovery, and cross-train on the other platforms so the team stays flexible.
These are time-boxed, high-stakes builds. A greenfield foundation goes from zero to a live AI workflow in roughly ten weeks; an acceleration engagement folds hundreds of Clarity tables into an existing lakehouse on weeks-to-months timelines. You'll ship production-grade work in a regulated environment, where "done" means it's governed, documented, and ready to hand to the integration team — not just that the pipeline ran once.
Key Responsibilities
Work forward-deployed inside the customer's environment: partner directly with their data and IT teams, present design decisions and progress to their technical leadership, and represent QH on-site during kickoffs and key milestones
Own platform-specific architecture and build for your stack during active engagements, as technical lead under the Principal Solutions Architect
Design and implement ingestion from EHR and source systems (Epic Clarity / Caboodle, FHIR, ERP, scheduling, claims) into a medallion lakehouse
Build and harden change-data-capture, transformation, and orchestration pipelines that meet engagement timelines
Configure governance, access control, and the data-sharing pattern that hands clean, AI-ready data to QH's platform (Delta Sharing, Fabric External Sharing, Snowflake Reader Accounts, or equivalent)
Sustain production environments handed off from prior engagements, and develop reusable accelerators and IP that compress the next build
Support pre-sales technical discovery and source-data assessment alongside the Principal SA
Ensure every environment meets handoff criteria for the Client Integration team — governed, documented, reproducible
Cross-train on the other two platforms to keep the team flexible across single- and multi-engagement states
Required Qualifications
8+ years in data engineering or data platform roles, at a Senior or Staff IC level
Client-facing maturity — comfortable working on-site in a customer's environment and presenting technical work to their data and IT leadership
Deep, hands-on expertise in at least one of Databricks, Snowflake, or Microsoft Fabric (see platform note above)
Has shipped production data workloads in a regulated environment (HIPAA, HITRUST, or comparable)
Strong in Python and distributed data processing (PySpark or equivalent), plus SQL and modern transformation tooling
Comfortable as the sole platform expert on an engagement — you can own a build, not just contribute to one
Infrastructure-as-code fluency (Terraform) and CI/CD discipline (GitHub Actions)
Platform-Specific Depth (own one)
Databricks: Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables, Photon. Bonus: production Databricks experience inside a health system or Databricks partner consultancy.
Snowflake: Snowpark, Reader Accounts, Streams & Tasks, Dynamic Tables, Snowpipe, strong dbt fluency. Bonus: Epic Clarity inside Snowflake.
Microsoft Fabric: OneLake, SQL Server Mirroring for CDC, Fabric Data Factory, Fabric External Sharing, Iceberg shortcuts. Bonus: prior Azure Synapse / ADF / Databricks-on-Azure background. (The rarest and most sought-after of the three — Fabric is the newest platform.)
Ideal Experience
Resident / customer-success solutions architect or engineer from a cloud data platform vendor (Databricks, Snowflake, Microsoft FastTrack / CSU)
Senior data engineer from a health system running on your platform, or from a platform-partner consultancy
Familiarity with EHR data models and the realities of on-prem-to-cloud CDC
Background in consulting, professional services, or data platform implementation in regulated industries (healthcare strongly preferred; fintech a strong adjacent)
Desirable Skills
Ownership: You're the one person on the engagement who deeply knows this platform, and you carry that weight without needing a second set of hands on every decision.
Pragmatism: You know the difference between architecturally ideal and deliverable-in-ten-weeks, and you optimize for the latter without creating technical debt.
Reusability mindset: You build the second engagement's accelerator while delivering the first, because you've felt the cost of bespoke-everything.
Clinical-data literacy: Clarity and Caboodle don't scare you; you understand why health system data is messy and you've untangled it before.
Cross-platform curiosity: Your depth is in one stack, but you're glad to learn the other two so the team can flex across engagements.
Technical Environment
Databricks (primary), Microsoft Fabric, and Snowflake — fully platform-agnostic on acceleration engagements
PySpark and Python with type-safe patterns and modern frameworks
GitHub Actions + Terraform for CI/CD and Infrastructure as Code
Healthcare data formats including FHIR, Epic Clarity / Caboodle, and other EHR schemas
HIPAA / HITRUST-regulated cloud environments on Azure and AWS
Why Join Qualified Health?
This is an opportunity to join a fast-growing company and a world-class team that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers.
The work here is unusually high-leverage: every health system you modernize removes the single biggest bottleneck to deploying AI across our entire partner base. You'll be the named platform expert on real, in-flight engagements — not one engineer of fifty, but the person who owns the build.
Our employees are integral to achieving our goals, so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options, and an inclusive environment that fosters creativity and innovation.
Our Commitment to Diversity
Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.
Pay & Benefits
The base pay range for this role is between $180,000 and $230,000. Final offer depends on your skills, qualifications, experience, platform specialization, and location. This role is also eligible for equity, benefits, unlimited PTO.
Senior Applied Scientist - Knowledge Graphs & AI
About the job:
- We are looking for an Associate Applied Scientist to join a dynamic and innovative AI platform team. If you are passionate about applying machine learning to knowledge graphs and reasoning systems at scale, this is an opportunity to build core components of Outreach's per-tenant knowledge graph while developing deep expertise under the guidance of senior scientists.
- Our team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes.
- This role is ideal for someone with strong ML fundamentals who wants to build deep expertise in knowledge graphs and applied NLP in a fast-moving product environment.
Staff Applied Scientist - Knowledge Graphs & AI
About the job:
- We are looking for an Applied Scientist to join a dynamic and innovative AI platform team that is pushing the boundaries of what's possible in sales execution. If you are passionate about applying cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale, this is an exceptional opportunity to shape a core piece of Outreach's AI architecture from the ground up.
- Our team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes.
Backend Engineer (Mid-level)
What is Spade?
Financial institutions process billions of transactions every day across cards, ACH, wires, and third party aggregators. But most of that data is difficult to use. Descriptions are inconsistent, merchant names don’t match, and categories vary by payment type.
Spade is a data and AI platform that turns messy transaction strings into structured, verified records — and gives teams the tools to act on it across authorization, attribution, analytics, and AI initiatives. Spade leads the market in terms of merchant coverage, matching accuracy, geolocation data, and speed of transaction enrichment. Customers such as, FIS, Bilt, Mercury, Stripe, alongside many other leaders in fintech and financial services, trust Spade's data to enable personalized rewards programs, accurate applied spending rules, precise analytics requests, and innovative AI-powered features.
Spade is a fast growing, Series B company backed by industry experts and top tier investors (including Oak HC/FT, a16z, Flourish Ventures, Y-Combinator, and Gradient Ventures). We’re a lean and execution-oriented hybrid team, passionate about building exceptional products for our growing customer base. We care deeply about diversity of background, experience, and opinion. We value empathy, curiosity, and passion, and strive to create an environment where individuals have autonomy and the ability to take ownership over their work.
What will you do?
As a Backend Engineer at Spade, you'll own the APIs and data systems that sit at the heart of our enrichment platform. You'll work across the full backend stack — from the developer-facing APIs our customers depend on, to the data pipelines and platform services that power our data science team. This is a high-ownership role on a small team, where your decisions directly shape the performance and reliability of products processing billions of transactions.
Collaborate on our technical vision to build a product customers love
Develop and maintain low-latency, massively-scalable developer-facing APIs and a robust data platform supporting our data science team
Design and implement systems that support the growth of the product and the company
Debug production issues across all levels of the stack
Bring a strong collaborative approach to deliver value to customers and internal stakeholders at Spade
What experience, skills, and qualifications are necessary?
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Must-have:
4+ years of experience building and scaling backend Python-based systems in fast-paced environments
Proven capability with developing REST APIs and writing performant SQL
Experience building using AWS infrastructure
Experience building systems from scratch, making trade-offs, and executing autonomously in early-stage environments
A customer-focused mindset, strong problem solving skills, and the ability to navigate ambiguity while delivering value to customers
A collaborative mindset, the ability to be mentored, and a focus on your own growth trajectory
Based in NYC with ability to work out of our Flatiron office at least 2 days/week
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Nice-to-have:
Proficiency in Django
Familiarity with data science and analytics tools such as Pyspark, Databricks and Delta Lake, and Hex
Experience with cloud infrastructure and tools like AWS CDK
Experience with transaction, merchant, and/or location data
Experience and/or interest in fintech and/or data products
Why join Spade?
Be a cultural founder. As an early employee, you’ll play a meaningful role in defining and building our culture.
Get in on the ground floor. We’re a small but well-funded team – joining now comes with limited risk and unlimited upside.
Build the next generation of financial infrastructure. Our products will power the next wave of innovation in fintech, helping our customers deliver better, more transparent products and services to the consumer.
Benefits include:
Competitive compensation and equity package
Full medical, dental, and vision benefits for US-based employees
Life & short-term disability insurance
Unlimited PTO
Early exercise program
Extended post-termination exercise period
401K for retirement planning
Hybrid team, with pet-friendly headquarters in NYC
Paid parental leave
Work from home stipend
Salary Range:
At Spade, we view total compensation as consisting of salary + equity + benefits. We recruit motivated and high performing talent, and work to compensate people in line with the value they bring to our team.
We aim to pay fairly and competitively, and consider a number of factors in developing compensation offers. These factors include years and breadth of experience, interview performance, market dynamics, and internal equity.
The anticipated base salary range for this role is listed above (in USD).
Diversity & Inclusion at Spade:
Spade is an equal opportunity employer, committed to building a culture that is diverse, equitable, and inclusive. We believe that having people with different backgrounds, experiences, abilities, and perspectives not only helps us build the best products for our customers, but also helps us be the best version of ourselves.
The full posting opens here — pay, setting and the full description, without leaving the list.