About the role

As an Analytics Data Engineering Manager focused on Product, you will build and lead the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across Anthropic’s Product organization.  You will oversee the development of scalable data solutions for Product pillars – including Consumer, Claude Code, Enterprise & Verticals, Growth, Platform Product – managing a team of analytics engineers and working closely with stakeholders across Data Science, Product, and Engineering to ensure teams have access to reliable, accurate metrics that can scale with our company’s growth.

In this role, you will balance hands-on technical leadership with people management, setting the strategic vision for product data foundations while developing and mentoring team members.  You will partner closely with Product Data Scientists, Product Managers, and Product Engineers to understand how users interact with Claude, how to measure product quality and growth, and how to transform raw event logs into insightful data marts that power product decisions.

Responsibilities:

• Build and scale the Product Analytics Engineering team, including hiring and mentoring a team of high-performing analytics engineers embedded with Product pillars

• Define and execute the strategic roadmap for product data foundations and analytics capabilities

• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions that transform raw product event logs into canonical datasets and insightful data marts

• Partner with Data Science, Product, and Engineering leadership to understand data needs and translate them into technical requirements

• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team

• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data-driven decisions across Product teams

• Foster a culture of technical excellence, continuous learning, and data-driven decision making

• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

You might be a good fit if you have:

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment

• 8+ years of total experience in analytics engineering, data engineering, or similar data-focused roles

• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture

• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools

• Proven track record of building and leading high-performing teams

• Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights

• Demonstrated ability to balance strategic thinking with hands-on technical leadership

• Strong communication skills with the ability to translate complex technical concepts for diverse audiences

• Experience scaling analytics functions from early stage to maturity in rapidly changing environments

• Track record of establishing data governance, quality standards, and best practices

• A bias for action and urgency, not letting perfect be the enemy of the effective

• A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end

• A passion for Anthropic’s mission of building helpful, honest, and harmless AI

About the Role:

We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.

The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.

As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.

Responsibilities:

• Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
• Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
• Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
• Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
• Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
• Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
• Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
• Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.

Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
• Proven experience designing and scaling large-scale data platforms or data-intensive systems.
• Strong proficiency in Golang, Python, or Java.
• Deep understanding of distributed systems, metadata management, and data modeling principles.
• Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
• Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
• Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.

Preferred Qualifications:

• Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
• Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
• Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
• Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
• Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.

We are looking for a Staff Security Software Engineer who is passionate about detecting and mitigating abuse in the Cloud. 

As a Staff Security Software Engineer at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience developing and maintaining software systems in a complex, high-scale environment, analyzing outcomes and communicating insights to stakeholders, and rapidly devising solutions that are in alignment with overall business goals. Our team is focused on enabling DigitalOcean to scale safely by building systems that detect and prevent abuse on our platform. We highly value collaboration and growth, and work closely with other teams in the Security organization to deliver high quality solutions and also build tooling to boost their efficiency.

Our customers trust us with their data and operations, and we take that responsibility seriously. Security at DO means solving highly complex problems on a large scale that have real impact for our customers, our products, and for the larger internet community.

What You’ll Do:

• Design, develop, and deploy resilient services and tooling that provide security capabilities at scale, primarily in Go, with some work in Javascript and Python.
• Research and design automated approaches to detecting and actioning abuse and misuse of DigitalOcean products and services.
• Work with product and engineering teams to design and implement secure architectures.
• Design and build internal tools that enable our Security Operations Center to do more, faster.
• Measure the efficacy of our services and tools, using logs, metrics, and audit records, to drive reporting and decision-making, leading to iterative and transformative security improvements as DigitalOcean scales. All while being mindful that security should be an efficiency enabler for the business, not an obstacle.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in software engineering projects, ideally with a security focus, in a complex, high-scale SaaS or IaaS environment. You are an expert in writing robust code with good test coverage and demonstrated success in delivering projects.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• Deep familiarity with cloud services & infrastructure—compute, storage, network, managed services—and related abuse tactics, including DDoS, spamming, phishing, cryptomining, and bot networks.
• Strong analytical and reporting skills, with proficiency in SQL and data warehouse querying (e.g., Snowflake, Redshift, BigQuery)
• A customer-first mindset—you aim to maximize abuse prevention while avoiding false-positives that could impact high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders. You have a record of partnering with internal engineering teams and non-technical stakeholders to gather requirements and tackle security problems across an entire stack with empathy and creativity.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus qualifications:

• Experience with microservice architectures, asynchronous and event-driven processing, and synchronous gRPC/HTTP-based requests.
• Experience in building secure by default services and applications.
• Familiarity with technologies such as gRPC, Docker, Elasticsearch, Prometheus/VictoriaMetrics, Kubernetes, and GitHub Actions.
• Experience with Looker, Snowflake, dbt, and Airflow

Compensation Range: 

• $183,040 - $228,800

*This is a hybrid role

JR: 2025-7129

#LI-Hybrid

The Senior Manager, Pricing is responsible for Flexe’s project pricing function, Flexe pricing intelligence, and oversight of the small team delivering on these pricing responsibilities. This job reports to VP, Network Strategy & Solutions. This role is responsible for managing a team of two, initially.

Job Responsibilities

[25%] Develop Scalable Business Process for Delivery of Guidance Pricing

• Review and refine current delivery process of guidance pricing to improve accuracy and speed to delivery
• Utilize guidance pricing outputs to deliver improved pricing from the Flexe Network of warehouses & 3PL operators
• Build and articulate the strategy for how we price, across network pricing, customer pricing, and pricing insights

[20%] Partnership with Sales to Improve Delivery of Pricing & Value to Flexe Customers

• Review and assess prior pricing proposals against project outcomes
• Deep engagement with commercial stakeholders on Flexe differentiated value, customer metrics & decision criteria
• Build a collaborative, scalable, standardized process for pricing proposals

[15%] Build and Deliver Reporting Suite on Pricing Activity & Performance

• Improve accuracy measurements for guidance pricing
• Deliver monthly reporting on Pricing for Flexe leadership

[15%] Expand Flexe’s Market & Pricing Intelligence

• Gain SME-level knowledge of the spot market for warehousing services
• Gather and disseminate information on key market news and trends, both internally and externally
• Build upon cadence & content of Flexe’s web-based “Market Insights”

[15%] Team Leadership

• Manage team personnel for high engagement and high performance
• Build structure for scaling function by improving efficiency
• Lead Flexe Values by example

[10%] Partnership with Product & Marketing to Deliver Pricing Products

• Collaborate to develop the long-term strategy for delivery of pricing and pricing intelligence via product offerings
• Review, test, and deliver feedback on those products as they are developed and released

Qualifications

Required Qualifications

• 8+ Years of Experience in running a supply chain pricing team, ideally in a brokerage or marketplace environment
• Expertise in economic principles behind marketplace pricing: supply & demand, market clearing price, elasticity, margin strategy
• Deep analytical skills/understanding of statistical analysis methods; experience with delivering KPI reports to executive teams
• Experience & understanding of warehouse operations, preferably in distribution & fulfillment operations
• Excellent written and verbal communication skills, comfortable presenting complex concepts to internal and external audiences
• Demonstrated ability to work cross-functionally and influence stakeholders across Sales, Product, and Operations

Preferred Qualifications

• 10+ years of overall supply chain pricing experience
• Bachelor’s degree or greater in Business Economics, Statistics, Supply Chain or similar field
• Experience working in a high-growth SaaS or subscription-based environment

#LI-KS

Job Overview:

Are you a strategic leader who thrives on driving results, building teams, and delivering exceptional service? We’re seeking a General Manager to oversee business operations, shape long-term strategy, and inspire excellence across our residential HVAC, Plumbing, Drains and Electrical divisions. This is a high-impact leadership role with full P&L responsibility, where your decisions will directly influence growth, profitability, and customer satisfaction.

As General Manager, you’ll set the vision, lead operations, and ensure our teams consistently meet performance, safety, and quality standards. You’ll balance big-picture strategy with hands-on execution, guiding managers and frontline teams to deliver outstanding service while fostering a culture of accountability, collaboration, and innovation.

Key Responsibilities:

• Lead daily operations and long-term business planning, ensuring projects are delivered on time, on budget, and aligned with customer expectations. Establish and uphold operational standards for efficiency, safety, cost control, and quality workmanship.
• Develop and execute sales strategies to achieve branch sales targets. Identify new business opportunities and expand the customer base. Collaborate with the marketing team to develop and implement campaigns and promotions that will grow business.
• Drive financial performance by forecasting revenue, monitoring gross profit, and holding teams accountable for results.
• Build strong customer, contractor, and supplier relationships, ensuring clear communication and timely resolution of issues.
• Oversee workforce planning, training, and resource allocation to meet service demand.
• Manage assets, including fleet, inventory, and equipment, ensuring accurate records and responsible use.
• Analyze data and dashboards, identify trends, and implement improvements to reduce costs and increase sales.
• Inspire, mentor, and develop leaders and frontline employees, creating an inclusive environment where people feel valued and motivated to perform at their best.

Qualifications:

• 10+ years of experience in distributed field service, construction, or manufacturing, with at least 5 years in a leadership role. Experience in HVAC, Plumbing, or another skilled trade industry strongly preferred.
• Proven success managing budgets, operations, and people in a fast-paced, service-driven environment. Knowledge of field service principles and practices including service price/hour estimation, labor forecasting, technician dispatching, etc., is required.
• Strong knowledge of service operations, workforce scheduling, residential sales practices, and project management. Proficiency with business software; experience with dispatch/ERP tools such as ServiceTitan is a plus.
• Excellent decision-making, problem-solving, and communication skills, with the ability to influence across all levels.

Skills and Competencies:

• Excellent leadership and team management skills.
• Strong customer service and sales experience.
• Financial acumen with experience managing budgets and financial performance.
• Excellent communication and interpersonal skills.
• Strong problem-solving and decision-making abilities.
• Proficiency in using business software and systems, including Microsoft Office, CRM and ERP platforms.

Work Environment:

• The physical environment requires this employee to work in an office environment, warehouse environment, customer locations, and frequently outdoors. Frequently required to use and promote use of personal protective equipment to prevent injury. 
• Occasional travel may be required for training, meetings, or customer visits.
• Ability to work in various environmental conditions, including hot and cold temperatures.

Compensation and Benefits:

• Salary + Annual Performance-based bonus + Company Equity!
• Health insurance: Comprehensive medical, dental, and vision coverage.
• Retirement plan: 401(k) with company match.
• Paid time off: Generous vacation, holidays, and sick leave.
• Training and development: Ongoing opportunities for professional growth and advancement.
• Company culture: A supportive, inclusive, and dynamic work environment focusing on teamwork and employee satisfaction.

#CGHP

About the UX research team

UX research at Anthropic is a small team with outsized leverage. We work across products used by millions of people—and on interactions that don't have established conventions yet.

We inform critical decisions through rigorous research, with stakeholders who eagerly incorporate findings into their work. Research has a seat at the table for product strategy, and we partner closely with design, product, and engineering. We combine qualitative and quantitative methods to understand user needs in a space that's evolving faster than anyone can track.

We move fast, favor impact over polish, and increasingly build our own tools—often with AI doing the heavy lifting—to do research at the speed this environment demands.

About this role

This is a senior individual-contributor role. You'll own research for a complex, fast-moving product area where the surface is expanding quickly and the most important user questions haven't been articulated yet, let alone answered.

You won't work from a fixed research roadmap. You'll prioritize constantly—making clear, well-informed bets about what to learn next, executing on them fast, and pivoting the moment the picture changes. Our product teams are deeply technical and move on instinct; your job is to make that instinct better-calibrated without slowing it down.

Roles here are fluid. On any given week you might be the researcher, the analyst, the one framing the next product bet, or the one building a prototype because that's the fastest way to find out.

Where this role lands depends on team needs and your strengths—we'll figure that out together.

Responsibilities

• Set the research agenda for a product area where the strategic questions are still fuzzy. Define what we need to learn, in what order, and why—then go learn it. Don't wait to be asked
• Design and run mixed-methods research at whatever fidelity the moment calls for. Some of it will be careful, foundational work the team references for a year. Some of it will be a finding you ship the same day the question came up
• Keep product teams close to users in a rigorous way—building the channels, cadence, and evidence base that make user reality hard to ignore
• Get hands-on with product data. Pull your own samples, build your own dashboards, instrument what's missing
• Prototype when prototyping is the fastest path to an answer—a research tool, a survey pipeline, a scrappy version of a feature to put in front of users
• Deeply leverage AI in how you work—using Claude to make yourself dramatically more efficient at analysis, synthesis, tooling, and everything in between
• Use what you study. Dogfood our products hard enough to develop your own informed opinions, and bring that texture into your research
• Anticipate where the product is heading before anyone asks. Show up with the user understanding the team is about to need
• Turn what you learn into recommendations confident enough to redirect a roadmap—including recommending we kill something that isn't working
• Build durable understanding, not just findings. The goal is that PMs, designers, and engineers internalize the user mental model well enough to make good calls when you're not in the room
• Develop new research methods when the existing playbook doesn't fit—particularly methods that use AI to do things that weren't possible before

Qualifications

• Industry UX research experience, including ownership of research strategy for a product or product area
• Track record of research that shifted product direction at the strategy level, not just the feature level
• Deep mixed-methods expertise—qualitative and quantitative
• Enough data fluency to use Claude to work directly with our data warehouse—pulling your own samples, writing your own queries, running your own analyses
• Demonstrated technical range: you've built research tooling, prototyped, scripted analyses, or otherwise shown you can keep up with very technical teams without translation overhead
• Advanced, hands-on use of AI in your own research workflow—you're already taking full advantage of its capabilities to enhance how you work
• Experience embedding with engineering-led product teams that ship fast, and earning influence in that environment
• Excellent storytelling, calibrated to audience. You can discuss a finding with an exec as effectively as with an engineer

Your Impact

Axon Enterprise (Nasdaq: AXON) is seeking a Data Science Principal within the Office of the Chief Accounting Officer (CAO). This is a hands-on enabler role for a technically exceptional professional with deep finance and accounting domain expertise. Your primary mission is to ensure that Axon’s AI builders, process owners, decision-makers, and auditors can operate with clean, trusted, well-governed, and audit-ready data. You will spend roughly half your time building data analytics tools and pipelines—leveraging AI as a development accelerator—to support complex, large-scale projects including mergers and acquisitions (M&A) integration, enterprise resource planning (ERP) system deployments, upstream data remediation, and SOX compliance initiatives.

The other half is strategic: partnering across Controllership, Finance Operations, Financial Planning and Analysis (FP&A), Internal Audit, and Technology to establish the data foundation that makes AI, automation, and audit readiness possible. You will use AI-assisted development tools (code generation, copilots, large language models) as part of your everyday build process.

What You’ll Do

Hands-On Building & Upstream Data Cleanliness (~50%)

• Design and develop data analytics tools, automated validation frameworks, and dashboards that give Finance Operations and Controllership real-time visibility into data health across enterprise systems. Use AI to rapidly prototype, test, and deploy these solutions.

• Drive upstream data hygiene cross-functionally: partner with source-system owners in Revenue Operations, Procurement, Human Resources, and Engineering to fix data issues where they originate, not after they propagate.

• Own data dictionaries, lineage documentation, and quality scorecards for critical controllership data assets. Establish and enforce master data management (MDM) standards.

• Partner with the Chief Information Officer (CIO) and Information Technology (IT) on integration strategy, ensuring seamless data flows between ERP, sub-ledgers, and the enterprise data platform. Support Snowflake data warehouse deployment.

Mergers & Acquisitions Data Integration

• Lead data workstreams for M&A transactions end-to-end: perform data due diligence on target companies, assess data quality risks, and build integration playbooks for onboarding acquired-company data into Axon’s enterprise platform.

• Design and execute data mapping, cleansing, and migration plans for post-acquisition integration—ensuring acquired entities are reporting on clean, consolidated data within defined timelines.

• For interim stage prior to M&A integration, build, own, and operate extract-transform-load (ETL) and extract-load-transform (ELT) pipelines that remediate data quality issues at the source—before data reaches downstream AI models, reporting, or analytics. Leverage AI-assisted development tools (copilots, code generation, large language models) to accelerate pipeline development and iteration.

• Build repeatable M&A controllership data integration frameworks—using AI to automate data profiling, matching, and anomaly detection—that scale as Axon’s acquisition pace accelerates.

Financial Controls, SOX & Audit Readiness

• Co-design data pipelines and analytics with auditability built in—traceable lineage, complete audit trails, and evidence that holds up under external audit.

• Build or collaborate with process owners to build close-support tools (GL-to-sub-ledger, intercompany, journal entries) that reduce manual effort and strengthen control evidence.

Enabling AI Builders & Process Owners

• Serve as the data enablement partner to Axon’s Controllership AI team and Controllership process owners—ensuring they have access to clean, well-structured, governed datasets for machine learning (ML), automation, and large language model (LLM) initiatives.

• Collaborate with AI builders to define data requirements, validate input data quality, and create feedback loops that continuously improve data upstream of AI/ML workflows.

• Create self-service analytics capabilities that enable FP&A, Tax, Treasury, and Controllership teams to access trustworthy data without bottlenecks.

Partnership & Cross-Functional Leadership

• Serve as a trusted partner to the CIO, shaping technology roadmaps, enterprise architecture, and system integration decisions. Act as a strong ally to Controllership and Finance Operations.

• Engage stakeholders across FP&A, Tax, Treasury, Engineering, Product, Revenue Operations, and Legal to manage cross-functional data projects end-to-end. Influence without authority across global, distributed teams.

What You Bring

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, Finance, or a related field with 8+ years in data science, data engineering, or analytics.

• Hands-on builder: strong, current proficiency with Structured Query Language (SQL) and Python—you write code, build pipelines, and ship tools, not just direct others. Comfortable using AI-assisted development tools to multiply your output.

• Deep experience with upstream data quality remediation, master data management, and data governance operationalization in a finance or accounting environment.

• Demonstrated M&A data integration experience: due diligence, data mapping, migration, and post-acquisition consolidation.

• Ability to build senior-level relationships, lead cross-functional projects end-to-end, and influence without direct authority across global teams.

• Working knowledge of US GAAP accounting processes (R2R, O2C, P2P, revenue recognition) or FP&A processes (budgeting, forecasting, variance analysis)—you understand the business logic, not just the data.

• Practical familiarity with SOX compliance and IT General Controls (ITGCs) sufficient to design audit-ready data pipelines, maintain traceable audit trails, and support internal audit teams and external auditors with data extracts, population listings, and control evidence—without needing to own the SOX program or control design.

Preferred Qualifications:

• Snowflake or comparable cloud data warehouse experience. Business intelligence (BI) platforms such as Sigma.

• High-growth, publicly traded technology company or digital transformation environment.

• Experience enabling AI/ML teams with clean data pipelines. Demonstrated use of AI code-generation in day-to-day development. Supervisory experience leading data teams.

• M&A integration at a company with an active acquisition strategy. Public safety, defense, or regulated industry background.

• Experience with audit management or financial close platforms/ERP and their data integration requirements; familiarity with how these tools consume and produce audit evidence.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• Employee Resource Groups (ERGs)
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work.

The application window will be open until at least April 24, 2026 . This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

This role is part of the Growth department on the Digital team. You'll collaborate with ad operations and growth specialists to deliver web, app, and media analytics to key stakeholders. The Growth team works across departments—including sales, marketing, brand, and product—to identify new opportunities and test strategies to drive revenue and improve the customer experience with GFiber’s products.

Role Description

As the Marketing Web Developer you will be the technical lead responsible for managing GFiber’s websites and integration points, supporting digital marketing and sales efforts. You’ll lead, organize, and manage program activities that drive business outcomes while developing systems to proactively identify improvements and drive future optimizations including change management and performance metrics. You'll oversee content management systems, A/B testing tools, and tracking implementations, ensuring smooth operations and optimal performance. Collaboration with cross-functional teams will be key in driving our analytics, marketing, and growth initiatives.

In this role, you'll:

• Engineer and maintain the GFiber web architecture, writing clean, scalable code to integrate marketing technology stacks and third-party services. 
• Implement and manage tools for content management, knowledge management, A/B testing, tracking, and services integration.
• Create technical design documents for new website features and integrations.
• Manage user access, roles, and responsibilities for web tools like Contentful, Optimizely, and KMS Lighthouse.
• Support change requests, issue management, and day-to-day updates related to website content and services, and also align with stakeholders on decisions and changing circumstances.

At a minimum we'd like you to have:

• Bachelor's degree in Digital Marketing, Computer Science, or related fields—or equivalent practical experience.
• 4 years' experience building high-traffic marketing websites and scalable web systems using React, Typescript and JavaScript.
• Experience with A/B testing tools (e.g. Optimizely, Optimize, Test and Target) and experiment configuration.
• Experience implementing and leveraging analytics, tracking and data warehouse platforms (e.g., Google Analytics 4, Google Tag Manager, BigQuery).

It's preferred if you have:

• Experience with headless Content Management Systems (e.g. Contentful, Sanity).
• Experience with ad-tech integrations and custom tracking pipelines for Google Ads and Campaign Manager, ensuring accurate reporting and data attribution for high-traffic marketing sites via API. 
• Experience with AI tools coding tools and LLM technologiesExperience using written and verbal communication to convey technical requirements to both technical and non-technical stakeholders.
• Experience with Python and back-end integrations to support large-scale consumer traffic.

The US base salary range for this full-time position is between $132,800 - $175,100 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

About the role

Every request that hits Claude — from claude.ai, the API, our cloud partners, or internal research — passes through a routing decision. Not a generic load balancer round-robin, but a decision that accounts for what's already cached where, which accelerator the request runs best on, and what else is in flight across the fleet. Get it right and you extract meaningfully more throughput from the same hardware. Get it wrong and you burn capacity, miss latency SLOs, or shed load that shouldn't have been shed.

The Inference Routing team owns this layer. We build the cluster-level routing and coordination plane for Anthropic's inference fleet — the system that sits between the API surface and the inference engines themselves, making fleet-wide efficiency decisions in real time. As Anthropic moves from "many independent inference replicas" toward "a single warehouse-scale computer running a coordinated program," Dystro is the coordination layer.

This is a deeply technical team. The engineers here design custom load-balancing algorithms, build quantitative models of system performance, debug latency spikes that cross kernel, network, and framework boundaries, and reason carefully about cache placement across thousands of accelerators. They work shoulder-to-shoulder with teams that write kernels and ML framework internals. The EM for this team doesn't need to write kernels — but they do need the systems depth to make architectural calls, evaluate deeply technical candidates, and spot when a proposed optimization will have second-order effects on the fleet.

You'll inherit a strong team of distributed-systems engineers, and you'll be accountable for two things that pull in different directions: shipping system-level performance improvements that measurably increase fleet throughput and efficiency, and running the team operationally so that deploys are safe, incidents are rare, and the teams who depend on Dystro can plan around you with confidence. The job is holding both.

Representative work:

Things the Inference Routing EM actually spends time on:

• Deciding whether a proposed routing algorithm change is worth the deploy risk, given the modeled throughput gain and the blast radius if it regresses
• Sequencing a quarter where KV-cache offload, a new coordination protocol, and two model launches all compete for the same engineers
• Working through a persistent tail-latency regression with the team — walking down from fleet-level metrics to per-replica behavior to a root cause in the networking stack
• Building the case (with numbers) to peer teams for why a cross-team protocol change unlocks the next efficiency win
• Running the post-incident review after a cache-eviction bug caused a capacity event, and turning it into process changes that stick
• Interviewing a candidate who has built schedulers at supercomputing scale, and deciding whether they'd be additive to a team that already goes deep

What you'll do:

Drive system-level performance

• Own the technical roadmap for cluster-level inference efficiency — routing decisions, cache placement and eviction, cross-replica coordination, and the protocols that keep routing and inference engines in sync
• Partner with the inference engine, kernels, and performance teams to identify fleet-level throughput and latency wins, then turn those into shipped improvements with measurable results
• Build the team's habit of quantitative performance modeling: claim a win only when you can measure it, and know before you ship what the expected effect is

Deliver reliably and operate cleanly

• Set technical strategy for how routing evolves across heterogeneous hardware (GPUs, TPUs, Trainium) and across all our serving surfaces
• Run the team's operational backbone — on-call rotation, incident response, postmortem review, deploy safety — so the team can ship aggressively without the system becoming fragile
• Create clarity at a seam: Inference Routing sits between the API surface, the inference engines, and the cloud deployment teams. You'll make sure commitments are realistic, dependencies are understood, and nobody is surprised

Build and grow the team

• Develop and retain a strong existing team, and hire against the bar described above: people who can go to the OS and framework level when the problem demands it, and who care about production reliability
• Coach engineers through a roadmap where priorities shift with model launches, new hardware, and scaling demands. We pair a lot here — you'll help make that collaboration pattern productive
• Pick up slack when it matters. This is a small team in a critical path; sometimes the EM is the one unblocking a stuck deploy or synthesizing a design debate

You may be a good fit if you:

• Have 5+ years of engineering management experience, ideally with at least part of that leading teams on critical-path production infrastructure at scale
• Have a deep systems background — load balancing, scheduling, cache-coherent distributed state, high-performance networking, or similar. You need enough depth to make architectural calls about routing and efficiency, and to evaluate candidates who go to the kernel and framework level
• Have shipped performance improvements in large-scale systems and can explain, with numbers, what the impact was
• Have run production infrastructure with real operational stakes: on-call, incident response, capacity events, deploy discipline
• Are results-oriented with a bias toward impact, and comfortable working in a space where throughput, latency, stability, and feature velocity all pull in different directions
• Build strong relationships across team boundaries — this is a seam role, and much of the job is making sure other teams can rely on yours
• Are curious about machine learning systems. You don't need an ML research background, but you should want to learn how transformer inference actually works and how that shapes the systems problems

Strong candidates may also have:

• Experience with LLM inference serving — KV caching, continuous batching, request scheduling, prefill/decode disaggregation
• Background in cluster schedulers, load balancers, service meshes, or coordination planes at scale
• Familiarity with heterogeneous accelerator fleets (GPU/TPU/Trainium) and how hardware differences affect workload placement
• Experience with GPU/accelerator programming, ML framework internals, or OS-level performance debugging — enough to follow and evaluate the technical work, not necessarily to do it daily
• Led teams at supercomputing or hyperscaler infrastructure scale
• Led teams through rapid-growth periods where hiring and onboarding competed with roadmap delivery

Role Overview: 

We are seeking a Senior Ergonomist with industrial and applied ergonomics experience to support a handful of our key Apex clients. This is a part‑time, traveling role - with expense covered - ideal for an experienced professional who excels in practical, field-based ergonomics and enjoys working directly with operations, safety, engineering, facilities, labor, leadership and other stakeholders. 

The Senior Ergonomist will perform ergonomics assessments, collaboratively develop solutions and project manage solution implementation in industrial manufacturing and warehouse settings to reduce musculoskeletal injury risk while improving productivity and worker well‑being. 

Your Responsibilities as a Senior Ergonomist:

• Conduct on-site ergonomic assessments in industrial environments (e.g., manufacturing, warehousing, distribution, logistics, construction, utilities). 
• Identify, evaluate, and prioritize ergonomic risk factors related to manual material handling, repetitive tasks, awkward postures, vibration, and forceful exertions. 
• Develop practical, cost-effective ergonomic solutions, including engineering controls, administrative controls, and tool/equipment recommendations. 
• Collaborate with EHS, Operations, Engineering, and Maintenance teams to implement ergonomic improvements. 
• Apply published design standards on workstation design, equipment selection, process changes, and job/task design. 
• Support injury prevention efforts, including analysis of MSD trends, root cause investigations, and return-to-work accommodations. 
• Prepare concise technical reports, risk assessments, and recommendations either within our clients’ various reporting systems or as a standalone report.   
• Stay current on ergonomics standards, best practices, and regulatory expectations relevant to industrial work. 
• Support and maintain strong communications between our clients and our Apex leadership. 

What we're looking for:

Required Qualifications 

• Bachelor’s degree or higher in Ergonomics, Human Factors, Industrial Engineering, Occupational Health, or a related field. 
• 5–10+ years of professional ergonomics experience, with an emphasis on industrial settings. 
• Demonstrated expertise in:  
• Manual material handling analysis 
• Task and job hazard analysis 
• Ergonomic assessment tools (e.g., REBA, RULA, NIOSH Lifting Equation, Strain Index) 
• Proven ability to for project management resulting in implementation of solutions that objectively improve injury risk or process efficiency. 
• Strong communication skills with the ability to understand and influence front-line workers through senior leadership. 
• Willingness and ability to travel regularly (with per diem expenses covered for assignments) for a few days up to multi-week stays in various locations across the US. 
• Proficient in MS Office (Word, Excel, PowerPoint);  

Preferred Qualifications 

• Professional certification (e.g., CPE, CIE, CSP, CIH, PT, OT). 
• Experience working within EHS or injury prevention programs. 
• Familiarity with manufacturing processes, automation, heavy equipment, and material handling systems. 
• Experience supporting multi-site or enterprise-level ergonomics programs. 

Physical & Travel Requirements 

• Ability to walk industrial facilities, climb stairs/ladders, and observe physical work activities. 
• Ability to lift light equipment (e.g., measurement tools, laptops). 
• Willingness to travel frequently, including overnight stays. 

Job Location: 

Seattle / Puget Sound area is optimal, but remote support could be acceptable with travel (easy access to an airport is a must). 

Travel Expectations: 

Travel will be up to 75% with variation depending on stage of the project and need for on-site presence.  

Why you'll love working for us:

• Company-subsidized medical and dental.
• Company-paid life, short, and long-term disability.
• 401k match, tuition assistance, and more.
• Cross-training and the ability to work on a variety of projects.
• Performance-based bonuses or other incentives.
• Working with the best and brightest in the industry.
• 2,000+ employee national firm with 70+ locations across the US.

Req ID: 11497

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities, and each other.

Life at Axon is fast-paced, challenging, and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

As Axon's Senior D365 F&O Solutions Analyst, you will be the connective tissue between our enterprise systems, financial operations, and the next generation of AI-powered automation. You'll leverage Microsoft Dynamics 365 F&O to drive supply chain excellence while bringing deep finance and accounting knowledge to optimize end-to-end business processes. This role is for someone who doesn't just use technology — they push it forward, actively deploying AI agents, Power Platform solutions, and MCP integrations to multiply the impact of every process they touch. If you're excited by the idea of building agentic workflows that help Axon's mission scale, this is your seat at the table.

What You'll Do

Location: 4 days in the office (Tuesday-Friday) Hybrid from Axon HQ locations - Scottsdale, Seattle, Boston, Atlanta and New York.

Reports to: Director, D365 Enterprise Applications

Direct Reports: None (Individual Contributor with strong cross-functional influence)

• Own and optimize D365 F&O modules spanning Supply Chain Management (procurement, inventory, warehouse management, supply planning) and Finance (general ledger, accounts payable/receivable, fixed assets, cost accounting) — ensuring system configuration aligns with evolving business needs and financial controls.
• Drive AI-first process improvement by designing and deploying agentic workflows using Microsoft Copilot Studio, Power Automate, and MCP integrations that reduce manual effort across finance and supply chain operations.
• Partner with Finance leadership to ensure accurate financial reporting, month-end close support, cost variance analysis, and compliance with GAAP — translating accounting requirements into D365 configurations and automation solutions.
• Build and maintain Power Platform solutions (Power Apps, Power Automate, Power BI) that surface real-time supply chain and financial KPIs to business stakeholders, enabling data-driven decisions at every level.
• Lead cross-functional discovery and requirements gathering with Finance, Operations, Procurement, and IT teams — translating business needs into functional D365 specifications, user stories, and solution designs.
• Implement and manage agentic AI experiences — using tools such as Azure AI Foundry, Copilot Studio, or third-party LLM integrations via MCP.
• Serve as a subject matter expert on D365 F&O data models, supporting integrations with external systems (EDI, Salesforce, etc.) and ensuring data integrity across the enterprise technology stack.
• Champion a culture of continuous improvement and AI literacy within the Finance and Supply Chain teams — conducting enablement sessions, documenting processes, and identifying the next wave of automation opportunities.
• Support system upgrades, new module rollouts, and D365 release wave evaluations — assessing impact, coordinating testing, and communicating changes to business users.

What You Bring

• 7+ years of hands-on experience with Microsoft Dynamics 365 F&O in a functional or techno-functional capacity, with deep expertise in: Supply Chain Management, Procurement & Sourcing, Inventory Management, Finance/GL, or Cost Accounting.
• Solid foundation in Finance & Accounting principles — you can hold your own in a conversation about month-end close, cost variance, AP/AR workflows, or financial controls, and you understand how those requirements translate into D365 configuration.
• Demonstrated experience building agentic or AI-powered solutions — whether through Microsoft Copilot Studio, Power Automate with AI Builder, Azure AI services, LLM integrations via MCP, or equivalent platforms. You actively use AI in your day-to-day work, not just talk about it.
• Proficiency in the Microsoft Power Platform (Power Apps, Power Automate, Power BI) with a track record of delivering production solutions that solved real business problems.
• Strong analytical and problem-solving skills — able to diagnose process gaps, design elegant solutions, and communicate trade-offs clearly to both technical and non-technical audiences.
• Experience working in a fast-paced, high-growth technology or manufacturing environment, ideally supporting global finance or supply chain operations.
• Bonus: Familiarity with D365 F&O technical concepts (X++ basics, data entities, LCS, Azure DevOps ALM), or experience integrating D365 with MCP-enabled AI agents or external LLM tooling.

Glacier Fish Company is hiring for Processors to work onboard the F/T ALASKA OCEAN. The Alaska Ocean is an at-sea processing vessel in the Bering Sea, along the Aleutian Islands, and the coast of Washington/Oregon. The Alaska Ocean is the world’s largest factory trawler.

Working onboard an at sea processing vessel is physically and mentally challenging. The environment is wet and cold and the shifts are long. The job requires physical endurance, repetitive lifting and agility, prolonged periods of standing, teamwork and self-discipline. Crew members make a contractual commitment to being at sea for extended periods of time, leaving family and friends at home.

JOB RESPONSIBILITIES

• Convert raw fish into a frozen-at-sea finished product
• Sort fish by species, size and condition
• Package, weigh and label product
• Load and unload plate freezers
• Operate and clean factory equipment
• Offload of frozen product to warehouse
• Load and unload other supplies on the vessel
• Share spaces with others including crew quarters, dining areas and bathrooms

QUALIFICATIONS

• High school diploma or equivalent
• 2+ years commercial fishing OR
• 1+ year of experience performing physical work

KNOWLEDGE, SKILLS AND ABILITIES

• Knowledge of factory trawler operations and conditions preferred.
• Able to work 16 hour shifts, 7 days a week
• Must be capable of lifting up to 50 lbs. repetitively
• Must be able to work in a cold and wet environment for extended period of time
• Must be able to perform fast paced, repetitive tasks for long periods of time
• Must be capable of boarding and exiting a vessel without assistance by climbing up or down gangplank, or by using a Jacob’s ladder.
• Must be capable of understanding and following specific English written, oral and visual directions and instructions in the event of emergency.
• Must adhere to all safety and quality policies and regulations of the vessel and company. 
• Must be able to share room assignments and bathroom facilities and eat in common dining areas with other crew
• Must be capable of working and living on board a vessel for extended periods of time; up to 65 days without having access to immediate medical assistance except for first aid.

COMPENSATION & BENEFITS

• One trip contract to start, with option to extend contract available 
• Free Room and Board
• Eligible for 401K
• Health/Dental benefits once eligibility requirements are met
• Crew Share based

As a Robotics Software Engineer, you will be at the forefront of designing advanced algorithms and systems to optimize the efficiency of our robotic fleet. Your work will be critical in ensuring seamless communication and operation within cutting-edge automation technologies.

Responsibilities:

• Design multi-agent pathfinding (MAPF) algorithms to prevent fleet deadlocks.
• Build low-latency communication protocols for Robot-to-Cloud and Robot-to-Robot data exchange.
• Develop cloud dashboards for fleet monitoring and teleoperation handoffs.

Required Skills:

• Expertise in distributed systems and IoT protocols (MQTT, WebRTC, DDS).
• Experience with fleet management or warehouse automation software.
• Strong background in operations research and graph algorithms.

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

The Senior Data Scientist is responsible for working with the product manager and stakeholders to define and scope opportunities, using data to build novel products supporting the Flexe business model. They will identify and harvest data to power machine learning and/or optimization models for Flexe within the logistics and distribution industry. This role impacts organizational level goals. This job reports to the Data Products engineering manager. Additionally, this role is responsible for working with software engineers, data engineers, and analytics to deliver solutions.

Job Responsibilities

[50%] Experiment, prototype, and implement solutions to Flexe’s complex problems

• Research and define problems. Design experiments to prove theoretical models. Prototype implementations of new learning algorithms and/or prediction techniques.
• Driven by deep curiosity, use exploration and discovery techniques to build knowledge and technology which will inform decisions and solve problems.
• Obtain, evaluate, and interpret large amounts of data from various internal and external sources. 
• Design, build, test and release scientifically sound models to provide clients with insights and recommendations to improve their supply chains.

[25%] Technical leadership

• Lead the design, implementation and delivery of large feature releases.  Can work in parallel with other Data Scientists, BIEs, and analysts to deliver a product or solution.
• Proactively simplifies data modeling and code and resolves team architecture deficiencies.
• Influences or drives architecture decisions.  Can devise and assemble multiple components into a larger solution.

[25%] Teamwork - driving team processes and cross-functional collaboration

• Develop or evolve team processes to improve quality and delivery.
• Communicating verbally and in writing to business customers with various levels of technical knowledge, and sharing insights and recommendations.
• Collaborating with analysts, engineers, product managers, and stakeholders to design and implement software solutions for science problems.

Qualifications

Required Qualifications

• Requires a minimum of 8 years of related experience with a Bachelor’s degree; or 6 years and a Master’s degree; or a PhD with 3 years experience; or equivalent experience.
• Proficient in using scripting code (Python, R, etc.) to scrutinize data and build statistical and/or machine learning models.
• 5+ years of hands-on experience in predictive modeling, analysis, and machine learning.
• 5+ years of relevant working experience in an analytical role involving data extraction, statistical modeling, and communication.
• 3+ years of experience with data querying languages (SQL)
• Proven ability to work independently and communicate status clearly.  Workload is self-directed and organized.
• Proficiency in model development, model validation and model implementation for large-scale applications.
• Ability to convey mathematical results to non-science stakeholders.
• Strength in clarifying and formalizing complex problems.
• Natural curiosity and desire to learn, a passion for solving real world problems.

Preferred Qualifications

• Successful candidates will have a background in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, or Economics or 5+ years relevant experience.
• Supply chain experience within transportation, logistics, or warehousing.

#AS-LI

RDQ226R484

Build the Future of Data & AI with Databricks SQL

At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing, helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse? 

We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth.

Why Join Us?

• Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics.
• Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos.
• Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future.
• Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide.

The impact you will have:

• Own and define the product vision, strategy, and roadmap for Databricks SQL
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Drive competitive differentiation and positioning in the cloud data warehouse market.
• Collaborate with leadership to align product initiatives with business goals.
•  Use data-driven insights to measure success, iterate, and improve user experience.

What we look for:

• 5+ years of product management experience (preferably in cloud, analytics, or data platforms).
• Deep understanding of SQL, data warehousing, BI, and analytics use cases.
• Ability to break down complex problems into simple, scalable solutions.
• Strong sense of ownership—you thrive in ambiguity and love solving hard problems
•  Experience working with engineers and designers to ship high-impact products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.

Ready to Build the Future?

If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.

P-988

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark™: Develop the de facto open source standard framework for big data.

Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.

Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.

Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

What we look for:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 8+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

P-987

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Modern data analysis employs sophisticated methods such as machine learning that go well beyond the roll-up and drill-down capabilities of traditional SQL query engines. As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.

Below are some example projects:

Apache Spark™: Develop the de facto open source standard framework for big data.

Data Plane Storage: Provide reliable and high performance services and client libraries for storing and accessing humongous amount of data on cloud storage backends, e.g., AWS S3, Azure Blob Store.

Delta Lake: A storage management system that combines the scale and cost-efficiency of data lakes, the performance and reliability of a data warehouse, and the low latency of streaming. Its higher level abstractions and guarantees, including ACID transactions and time travel, drastically simplify the complexity of real-world data engineering architecture.

Delta Pipelines: It's difficult to manage even a single data engineering pipeline. The goal of the Delta Pipelines project is to make it simple and possible to orchestrate and operate tens of thousands of data pipelines. It provides a higher level abstraction for expressing data pipelines and enables customers to deploy, test & upgrade pipelines and eliminate operational burdens for managing and building high quality data pipelines.

Performance Engineering: Build the next generation query optimizer and execution engine that's fast, tuning free, scalable, and robust.

What we look for:

• BS (or higher) in Computer Science, related technical field or equivalent practical experience.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• 5+ years of production level experience in either Java, Scala or C++.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience with distributed systems, databases, and big data systems (Apache Spark, Hadoop).

Must have experience driving in WA area

Location: 2750 Williamson Place, Suite 156 DuPont, WA 98327

Paid Weekly: $21.00/hr

Schedule:

Monday-Friday 5:30am-1:30pm

What we’re looking for:

• Will drive locally to pick up from our vendors & bring back to the warehouse/customer deliveries. 
• Drive a box truck
• Able to lift packages (up to 60 lbs.) and be able to get in and out of a van numerous times in a shift
• Strong attention to detail
• Enjoy learning new processes and technology
• Must have held state driver’s license for at least 4 years
• When not driving for vendor pick up/customer deliveries, working in the warehouse will be required
• Enter and exit the delivery vehicle while transporting customer orders
• Determine placement of merchandise while following safety and lifting protocols during deliveries
• Use a hand truck to move packages across different levels such a stairs and ramps
• Correctly identify any order issues and resolve them in real time
• Frequently move boxes weighing up to 60 pounds throughout the fulfillment center
• Operate an RF scanner, hand truck, pallet jack, or electric pallet jack to move inventory across the fulfillment center
• Frequently move boxes weighing up to 60 pounds throughout the fulfillment center
• Assemble customer packages
• Assist with inventory management, including counting and inspecting items
• Assist with the loading and unloading of delivery vehicles
• Enter and exit the vehicle from the driver’s door/cargo bay doors to pull the customer’s order and stack it on the dolly, ensuring no product is damaged in the process
• Determine placement of merchandise while following safety and lifting protocols during deliveries
• Use a hand truck to move cases and loose items across various building obstacles such as stairs, ramps, and sidewalks
• Correctly identify any order issues and resolve them in real-time
• Utilize a handheld device for routing and obtaining or submitting customer information
• Using an RF scanner, identify and pull items to build customer orders
• Frequently move boxes weighing up to 60 pounds throughout the fulfillment center
• Operate a hand truck, pallet jack, or electric pallet jack to move inventory across the fulfillment center
• Assist with the loading and unloading of merchandise and non-inventory in and out of delivery vehicles, trucks, and vans
• Perform all tasks as assigned
• Must be able to read, write, & speak/understand English

What we’re looking for:

• Able to lift packages (up to 60 lbs.) and be able to get in and out of a van numerous times in a shift
• Strong attention to detail
• Enjoy learning new processes and technology
• Must have held state driver’s license for at least 4 years
• When not driving a route, working in the warehouse will be required

Summary

As a Flex Warehouse Associate/Delivery Driver, you will be integral to our logistics team, responsible for delivering goods efficiently while ensuring customer satisfaction. Your core skills in driving and heavy lifting will be essential as you navigate various routes and handle packages. With a focus on safety and reliability, you will utilize your premium skills in customer service and warehouse experience to enhance operational efficiency. Additionally, your relevant skills in moving, loading and unloading, and familiarity with commercial driving will support our commitment to timely deliveries and exceptional service. Join us in this dynamic role where your contributions make a difference.

In this role, you’ll own the day-to-day shipping and receiving flow for our Seattle fulfillment center. This is an office-based operation handling small, high-value electronic components (not a traditional warehouse). We’re looking for someone who takes pride in doing things correctly, communicates clearly, and has a growth mindset - this role is very learnable for a bright, computer-literate person who “owns” their work.

• Process incoming and outgoing shipments (domestic and international) with a high level of accuracy
• Receive and inspect incoming goods; enter receipts and movements accurately in Microsoft Dynamics 365
• Prepare shipping documentation, labels, and customs paperwork as needed
• Process customer returns and coordinate with internal teams to resolve issues
• Maintain accurate inventory through good daily habits (organization, scanning/entry discipline, discrepancy follow-up)
• Perform periodic cycle counts and support inventory organization
• Maintain and restock shipping supplies
• Communicate professionally with customers, vendors, carriers, and internal teams
• Follow documented processes, and proactively suggest improvements when you see a better way

• Shipments go out on time, with correct parts and documentation
• Inventory records match reality because discrepancies are caught early and resolved
• You take ownership of open items and close the loop without needing repeated follow-up
• You learn quickly, ask good questions, and steadily improve how the operation runs

• Comfortable using computers and Microsoft Office (especially Outlook and Excel)
• Strong attention to detail; you double-check your work and catch mistakes before they ship
• Reliable, organized, and able to prioritize tasks in a fast-paced environment
• Clear, professional communication and a team-first attitude
• Willingness to learn new tools and follow process (we can train you on our systems)

• Experience with shipping/receiving, fulfillment, or operations (small parts/electronics a plus)
• Experience with an ERP system (Microsoft Dynamics 365 is a plus)
• Experience with international shipping documentation is a plus

• Part-time, in person (Seattle)
• Schedule: weekday daytime hours (specifics can be discussed)

Benefits

• Pay: $24.00 - $28.00 per hour
• Expected hours: 20 per week
• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Vision insurance

Equal Opportunity Employer

Principals only. Recruiters, please do not contact this job poster.
Do NOT contact us with unsolicited services or offers.

This role is onsite 5 days a week in Seattle, WA

About the role

The ideal candidate will be responsible for managing warehouse operations in our Seattle, WA location. These operations include shipping, inventory, delivery. Your goal will be to increase operational efficiency and ensure a safe environment.

Responsibilities

• Manage safety, inventory accuracy, quality, productivity, cost saving and customer delivery promises
• Support, mentor, and motivate your salaried and hourly, internal and contractor workforce
• Lead daily FC operations to deliver stable execution across safety, customer experience, productivity, inventory accuracy (ICQA), and cost control.
• Manage and improve key operational results including safety performance, inventory accuracy, quality, productivity, cost savings, and customer delivery promises.
• Support, mentor, and motivate a mixed workforce of hourly and salaried employees, including contractors/agency labor as applicable.
• Evaluate and act on performance metrics to ensure high-quality execution and cost-efficient workflows
• Own site-level P&L performance and drive results across key cost lines (labor, overtime, supplies, equipment/service, shrink/damage, etc.).
• Identify and execute cost-saving initiatives while protecting safety, quality, and customer delivery promises; quantify impact/ROI and communicate outcomes to leadership.
• Partner cross-functionally with Finance, HR, Transportation, Quality/Food Safety, and Engineering/IT to optimize cost structure and operational efficiency.
• Ensure safe operation, inspection, and compliance for PIT/MHE and enforce safe work practices.
• Lead PIT safety training, certification tracking, and refresher training; investigate incidents/near-misses and drive corrective actions.
• Maintain strong OSHA-aligned safety standards; lead and execute safety training for both hourly and salaried teams.
• Own ICQA execution, including cycle counts, ad hoc counts, and inventory investigations, to maintain high inventory accuracy.
• Establish and monitor ICQA KPIs (inventory accuracy, count completion rate, count resolution time, shrink/damage trends) and drive corrective actions.
• Lead root cause analysis for inventory variances across receiving, putaway, replenishment, picking, returns, and damages; implement process fixes and training.
• Maintain strong bin/location control and storage standards (labeling, slotting discipline, and location audits) to reduce mispicks and improve customer outcomes.

Qualifications

• 5+ years of warehouse/retail operations experience preferred.
• Experience managing teams of 100+ (hourly and salaried; including contractors/agency where applicable).
• Experience overseeing operations across multiple warehouses/sites strongly preferred.
• Strong ability to multitask and manage deadlines in a fast-paced environment; excellent organizational skills required.
• Strong accuracy and attention to detail required.
• Extensive, hands-on 5S experience, with the ability to drive standard work, visual management, and sustainable continuous improvement on the shop floor.
• Schedule flexibility required: must be able to work night shifts, weekends, and holidays as business needs require.
• Ability to work in refrigerated and freezer areas for extended periods (with required PPE).
• Lean Six Sigma certification: Green Belt or above required.
• PIT proficiency required (trainer-level preferred): must be able to personally operate PIT and demonstrate safe operation; experience with sit-down forklift, order picker, and reach truck required.
• OSHA knowledge & safety training required: familiar with OSHA-related requirements and able to lead/execute safety training.
• Work in an environment where noise levels vary and can be loud.
• Work in multi-temperature areas, including refrigerated (≤40°F / 4°C) and freezer (0°F / -18°C) zones.
• Ability to stand/walk for up to 12 hours during shifts

Benefits

• Comprehensive Medical, Dental, Vision, Life, AD&D, and STD/LTD Insurance
• Additional coverage options: Accident, Critical Illness, Hospital Care, Legal & ID Shield, and EAP
• FSA (Flexible Spending Account) and Childcare pre-tax spending programs
• Commuter & Parking benefits
• Monthly Weee! Points
• 401(k) plan with 4% match and 100% vesting (Pre-tax and Roth)
• Employee Referral Program
• 10 Company Paid Holidays
• Paid Sick Days
• Vacation Time: 10 days in the first year for exempt employees, 7 days in the first year for non-exempt (then increases per tenure)

Compensation Range

• The US base salary range for this full-time position is $91,000 to 108,000
• This role may be eligible to discretionary bonus, incentives and benefits 
• Our salary ranges are determined by role, level, and location

The range displayed on each job posting reflects the minimum and maximum base salary for new hires for the position across all US locations. Within the range, individual pay is determined by multiple factors like job-related skills, experience and work locations. Your recruiter can share more about the specific salary range during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include any variable compensation elements.

Weee! is an equal opportunity employer welcoming all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law.  Discrimination or harassment of any kind is not tolerated at Weee!. If you need to inquire about an accommodation or need assistance with completing the application, please email us at applicantaccommodation@sayweee.com.

For more jobs and to find out more about Weee!, visit our career page: https://about.sayweee.com/careers

Software Engineer, Financial Systems

Team: IT, Security, and Corporate Engineering
Location: Seattle, Washington

About the Role

At Opendoor our goal is to build the biggest, most trusted housing platform and set a new standard for how people move. We've combined our deep, proprietary data and operational expertise with the power of artificial intelligence to make online home selling and buying radically simple.

We are eliminating the manual work that slows down operations.  We’re building AI-driven automation that closes the books faster, eliminates repetitive workflows, and gives Finance teams real-time insights without human intervention.  You’ll architect the systems that power thousands of real estate transactions monthly with audit-ready precision while enabling Finance to move fast and operate efficiently.

What You'll Do

• Build intelligent automation that eliminates manual financial workflows, from journal entries to reconciliations to month-end close processes, using AI agents and workflow orchestration.
• Design and own integrations connecting enterprise resource planning (ERP), spend management, banking, and data warehouse systems that power real-time financial operations.
• Partner with Finance, Procurement, Accounting, Accounts Payable and Capital Markets stakeholders to understand their workflows, identify automation opportunities, and deliver software solutions that increase their speed and efficiency.
• Implement observability, monitoring, and reliability practices for production financial data systems that process millions of transactions daily.
• Apply software engineering best practices (CI/CD, Infrastructure as Code, automated testing, code review) to financial systems traditionally managed through manual configuration.

Tech Stack

• Financial Platforms: NetSuite (ERP), Ramp (spend management), bank APIs
• Data & Analytics: Snowflake, dbt, Airflow/Dagster, Quicksight
• Languages: Python, Go, SQL, TypeScript/Node.js
• Infrastructure: AWS, Terraform, Docker, GitHub Actions
• AI & Automation: LLMs (Claude, OpenAI), agent frameworks, workflow orchestration

What You'll Need

• Deep conviction that AI and automation should eliminate manual work humans shouldn't be doing anyway. You're excited to eliminate manual work by replacing spreadsheets and close processes with automated systems.
• 8+ years of software engineering experience with strong skills in Python, Go, or similar languages, including API design, systems integration, and automation.
• Experience with modern data platforms (Snowflake or similar), SQL, and building reliable data pipelines.
• Strong experience with cloud platforms (AWS preferred) including CI/CD, Infrastructure as Code, and running production services.
• Proven problem-solving ability to understand complex business workflows, identify automation opportunities, and design elegant technical solutions
• Humility and genuine curiosity. You're as excited to automate journal entries as you are to architect distributed systems, and you see eliminating mundane work as deeply meaningful engineering. You genuinely enjoy understanding user needs, partnering with non-technical stakeholders, and building software that makes their work easier.

Bonus Points For

• Experience with financial/ERP systems (NetSuite, Oracle, SAP, Workday) or fintech platforms.
• Understanding of financial concepts (General Ledger, Accounts Payable, month-end close, Sarbanes-Oxley controls).
• Track record building AI-powered automation, workflow orchestration, or internal tools.
• M.S. in Computer Science.

Compensation

The base pay range for this position is $198,000 - $271,000 USD annually, plus RSUs and bonuses. Pay within this range varies by work location and may also depend on your qualifications, job-related knowledge, skills, and experience. We also offer a comprehensive package of benefits including unlimited PTO, medical/dental/vision insurance, life insurance, and 401(k) to eligible employees.

#LI-RO

CookUnity is Hiring for Hourly Roles!

Are you looking for an opportunity to be part of a fast-growing company that’s revolutionizing the meal delivery industry? CookUnity is looking for dedicated team members-bilingual English/Spanish a plus!-to join our operations and help bring chef-crafted meals to customers nationwide!

About Cook Unity

CookUnity is a chef-to-you marketplace connecting talented chefs with consumers, revolutionizing meal delivery. We bring small-batch, restaurant-quality meals to eaters nationwide, crafted by a diverse collective of all-star chefs. With over 100 inspired chefs from cities like NYC, LA, Austin, and more, our weekly subscription offers a wide range of hand-crafted meals to cater to various palates and dietary preferences.

By delivering over 1 million meals per month, we're also empowering working chefs, tripling their income, and supporting their growth. CookUnity believes in fueling stronger communities, partnering with Food Bank For New York City to combat food insecurity across all five boroughs.

We’re currently hiring for the following positions:

✅ Fulfillment Team Member – Assist with packaging and preparing meals for delivery.
✅ Warehouse Team Member – Support inventory management, receiving, and storage of ingredients and supplies.
✅ Maintenance Team Member – Help ensure our facilities and equipment are running smoothly.
✅ Steward – Maintain cleanliness and organization in our kitchen and workspaces.

Why Join CookUnity?
✨ Competitive hourly pay
✨ Growth opportunities within the company
✨ A dynamic and inclusive work environment
✨ Be part of a mission-driven company bringing quality meals to people’s doorsteps

📍 Locations: Seattle, WA

Ready to apply? Submit your application today and become part of a team that’s passionate about food and innovation!

We look forward to meeting you! 🚀

CookUnity Hiring Team
Youn Coy, Market Director and Iman Khaerisman, Operations Manager

Unybrands is looking for a full-time Warehouse Associate to work in our Victor, NY facility. We're a close-knit, small unit within unybrands that is laser focused on serving our customers and building our brand. 

This role is based in Victor, NY, and you must be able to come into the office and warehouse to perform your job duties on a daily basis. 

Responsibilities

• Maintain receiving, processing, storing, and refreshing various platform inventory 
• Packing Consumable Dog Treats 
• Fulfill orders through various platforms (Shipstation, Shopify, wholesale, Amazon, Chewy.com, Wal-Mart, Etsy, etc.) 
• Maintain physical condition of the warehouse - inspecting equipment, organization, sanitation, storage, etc.
• Handle all returns & determine reclamation of the product
• Help develop and maintain brand integrity
• General administrative support  
• *This is a non-forklifting facility*

Professional Skills and Requirements 

• Minimum 2 years professional working experience
• Skilled in communication and managing processes
• Self-motivated attitude
• Attention to detail and accuracy
• Creative and persistent problem solver
• Ability to work in a fast-pace working environment
• Physically able to lift up to 50 pounds and work on your feet for an extended period of time 

Additional Skill Sets of Interest 

• Warehouse experience 
• Equipment maintenance

Salary: 35k USD

Hours: 40 hours/week 

Job Responsibilities include but not limited to:

• Pick and Pack, order fulfillment on DTC orders
• Create shipping labels/shipments utilizing UPS and Fedex software
• LTL shipping, both paperwork and unloading/loading trucks
• Taking inventory counts and using ERP software to maintain accurate inventory
• Handle and receipt products, boxes, inventory, deliveries in a professional way
• Interact with customer service to resolve customer and order issues
• Interact with Planning manager to compete shipments or prepare shipments in advance
• Assisting with packing productions if needed

Qualification:

• 3-5 years of shipping and rec'g experience 
• Experience with ERP platforms(SAP, Oracle, Ship station, etc…) or other WMS inventory and shipping systems
• Word and Excel intermediate level
• Forklift experience
• Able to lift products of 50-80lb
• Experience with customer service 

About Us
At Johnson Barrow, we believe that our strength starts with a passion for excellence. Our 60 years of innovation allows us to be one of the most established and respected HVAC organizations in the Pacific Northwest. We are proud to be on the cutting edge of system technology, which is extremely critical in today's energy conscious market. By continually striving to foster a positive, supportive culture, we not only hold ourselves to the highest standard for our customers but enjoy and take great pride in the work we do!

Job Description:

Johnson Barrow, Inc., a leading Commercial HVAC Manufacturers Representative Firm, is seeking a highly motivated and skilled Warehouse Assistant / Inside Sales Associate with a strong emphasis on sales. This position will play a vital role in supporting the sales team and ensuring smooth warehouse operations. The ideal candidate will possess excellent communication skills, a customer-centric approach, and a passion for sales.

Responsibilities:

Sales Support:

· Assist the sales team with customer inquiries, product information, and order processing.

· Collaborate with customers to understand their needs and provide appropriate product recommendations.

· Prepare and follow up on sales quotations, ensuring accurate and timely responses.

· Maintain a comprehensive understanding of the product line to effectively address customer inquiries and upsell opportunities.

· Provide outstanding customer service to build and maintain strong customer relationships.

Warehouse Operations:

· Receive and process incoming stock, ensuring accuracy and timely stocking of products.

· Perform inventory management tasks, including stock replenishment, cycle counts, and order fulfillment.

· Prepare shipments and ensure accurate documentation for outbound orders.

· Maintain a clean and organized warehouse environment for efficient operations.

Sales Reporting and Analysis:

· Assist in maintaining sales records, customer databases, and reports.

· Monitor sales metrics and generate periodic sales reports for management review.

· Identify sales trends and opportunities to drive business growth.

Qualifications:

· High school diploma or equivalent; additional education or relevant certifications are a plus.

· 1-2 years of shipping/receiving experience in a warehouse environment

· Experience with internation shipping to between Canada and the US a strong plus 

· Excellent verbal and written communication skills.

· Proficient in using sales software, CRM systems, and MS Office Suite.

· Strong organizational skills and attention to detail.

· Ability to multitask, prioritize, and meet deadlines in a fast-paced environment.

· Forklift operation certification (or willingness to obtain certification) is a plus.

Compensation

This is a full-time, non-exempt position with an hourly pay range of $25-30/hr and eligibility for overtime pay.

Total Rewards

At Johnson Barrow, we believe in recognizing and rewarding the contributions of our employees. Our total rewards package is designed to support your financial success, personal well-being, and professional growth, and includes:

• Competitive compensation with bonus opportunities tied to individual and company performance
• Medical, dental, and vision insurance
• Health savings account (HSA) and flexible spending account (FSA) options
• Life and disability insurance
• 401(k) retirement savings plan with company match
• Paid time off (vacation, sick leave, and holidays)
• Employee assistance program (EAP)
• Professional development and training opportunities
• Tuition reimbursement program
• Volunteer time and wellness initiatives

EEO Statement

At Johnson Barrow, we believe our strength comes from the diverse experiences, backgrounds, and perspectives of our people. We are committed to creating a workplace where everyone feels respected, valued, and supported to succeed. We welcome applicants of all races, colors, ancestries, national origins, religions, creeds, ages, sexes, genders, gender identities and expressions, sexual orientations, marital or family statuses, pregnancies, physical or mental disabilities, genetic information, veteran or military statuses, and any other characteristics protected by applicable federal, state, provincial, or local laws. Guided by our core values: Helping People Succeed, Building Partnerships for Life, Relentless Customer Service, and a Sense of Urgency, we strive to ensure every team member can contribute fully and thrive.

Who we are…

CookUnity is the first ever chef-to-consumer platform. Connecting a diverse group of talented chefs with busy food lovers, we're elevating the at-home dining experience.

We are growing rapidly and looking for hard-working, passionate team members that will help us become more efficient, faster, and reliable to our customers.

We are always learning and growing – if this sounds like an environment where you would thrive, we'd love to hear from you!

The Role

The Fulfillment Associate performs activities associated with preparing orders for our eaters. You will be responsible for picking and packing orders and ensuring the timely completion of orders to our delivery drivers

What you’ll get…

• Paid weekly
• Healthcare coverage with Cigna
• Lunch served daily
• Opportunity for advancement

You are…

Able to perform the essential functions of the position with or without reasonable accommodation, including:

• Lifting up to 50 pounds
• Push and pull up to 100 pounds
• Stand for long periods of time
• Work in temperature controlled environments

Must haves…

• Computer Skills
• 18 years of age or older
• Authorization to work in the United States

Nice to have…

• Previous experience in a Warehouse or Fulfillment 
• Bilingual Spanish 

#enghp 

Position Summary

This hybrid role is ideal for someone who enjoys being on the road and working in a hands-on warehouse environment. The primary responsibility is to operate a 26 ft refrigerated box truck for local deliveries. When not driving, you’ll assist with day-to-day warehouse tasks including receiving, picking, and organizing inventory.

Key Responsibilities

Driving (as scheduled):

• Safely operate a 26 ft refrigerated box truck between CookUnity facilities and delivery points.
• Ensure safe handling of temperature-sensitive products.
• Conduct daily vehicle inspections and report maintenance needs.
• Refuel and clean the truck regularly to ensure operational readiness.
• Maintain accurate delivery logs and records.

Warehouse Operations (when not driving):

• Receive and inspect incoming products.
• Organize and store ingredients and packaging materials.
• Pick and stage items for production or delivery.
• Support general warehouse organization and cleanliness.

Qualifications

• Valid Washington State driver’s license with a clean driving record.
• Experience driving a 26 ft box truck (CDL not required, but a plus).
• Familiarity with Seattle streets and surrounding areas.
• Ability to lift up to 50 lbs and work in cold storage when needed.
• Dependable, proactive, and team-oriented.
• Must be 21+ and able to pass a DOT physical exam.

Benefits:

🩺  Health Insurance coverage with Cigna

✅  Weekly payments

🚀 Opportunity for advancement


If you’re interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time!

CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

#enghp