Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Scope, design, build, and maintain APIs, services, and large-scale systems that reliably and efficiently handle billions of money movement requests. 
• Design the next generation of Stripe products to meet the high growth needs of our company and customers.
• Analyze product requirements, user needs and feedback and translate them into technical specifications and determine the feasibility of design, taking into account cost and time constraints.
• Review API launches and library shapes for other teams to ensure that backwards and forward compatibility, coherent patterns, and extensibility meet our quality standards.
• Act as the team’s representative during technical meetings, and understand how their systems interact with the broader landscape within the company.
• Mentor early-career engineers to help them grow and spin up into independent engineers.
• Construct core engineering tenets and design principles for their team’s projects.

Who you are

We're looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• Must have a Bachelor's degree or foreign equivalent in Computer Science, Software Engineering, or a related field, plus 3 years of software developer or related work experience.
• Must also have 3 years of experience in each of the following:
• Building software solutions using Ruby, Java, and Typescript;
• Defining storage schemas for relational, document or columnar databases;
• Querying data stores using SQL;
• Building and integrating service endpoints using GRPC, REST,or GraphQL; and
• Building systems integrated with event processing technologies including SQS or Kafka.

Salary: $190,400 - $285,600/yr.

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week

50% Telecommuting Permitted.

Multiple Positions Available. 

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. WA03

#LI-DNI

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Who we are

About Stripe

Stripe, LLC. is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

What you’ll do

Responsibilities

• Design, build, productionize, and maintain APls, services, and systems across Stripe's engineering teams using Ruby, React, Typescript, and other programming languages.
• Predict and measure the performance and outcomes of designed systems.
•  Collaborate with engineers and other cross-functional roles across the company to build new billing features at large-scale to make it easier to businesses for collect and manage their payments.
• Analyze user needs, feedback, and product requirements to determine technical specifications and the feasibility of design and implementation, taking cost and time constraints into account. 
• Implement technical designs through a series of programming tasks while upholding high engineering standards.
• Implement unit, functional, and integration tests to prevent bugs and regressions.
• Improve engineering standards, tooling, and processes ensuring operational excellence and contribute to team's on-call rotation.
• Debug and identify the root cause of errors in a complex system across multiple service components.
• Provide mentorship and help onboard and spin up new hires for the team.

Who you are

Minimum requirements

Bachelor’s degree or foreign equivalent in Computer science, Human-Computer Interaction or related fields, plus 18 months of software engineering experience.

This position requires following:

• 1.5 years of experience working with Ruby, React, Typescript, and other relevant programming languages and frameworks; 
• 1.5 years of experience translating business needs into software requirements and designs and implementing industry standard design patterns; 
• 1.5 years of experience with using SQL or related query languages to perform data analysis; 
• 1.5 years of experience working with API development, participating in team's oncall to provide emergency response, and debugging production issues across services; 
• 1.5 years of experience leading cross team projects, scoping implementation plans, and managing cross team dependencies; and 
• 1.5 years of experience participating in team's on-call rotation, providing emergency responses, debugging and mitigating production issues.

Salary: $156,800 – $235,200/yr.  

This salary range represents the base salary range for the role and any sales commissions/sales bonuses targets, if applicable, would be in addition to the base salary.

40 hrs/week.

Up to 50% remote work permitted. 

Multiple Positions Available.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. - WA11 #LI-DNI

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Within Cloud Inference, the model & inference launch team owns the validation pipeline for our inference server and load balancer on these platforms. We're responsible for every inference change — model launches, performance improvements, safeguard integrations — landing on cloud platforms with correctness, performance, and reliability intact.

This is high-leverage infrastructure work: validation has to be fast and cheap enough to run on the same accelerators that serve customers, trustworthy enough to replace manual checks, and consistent enough that a change working on Anthropic first-party means it works everywhere. This directly determines how fast frontier models and features ship to every cloud platform, and how quickly performance wins reach production — reclaiming capacity at a time when compute is our scarcest resource.

What You'll Do

• Be on the critical path for frontier model launches, bringing up inference for new model architectures and shipping them to cloud platforms in lockstep with our first-party platform
• Work with the core inference team to bring new inference features (e.g. structured sampling, prompt caching, and more) to cloud platforms, owning the platform-specific integration that gets them to production
• Identify and dive deep on the gaps that make inference behave differently across first-party and CSPs — config drift, observability, deployment patterns, hard cross-platform bugs — and fix them at the source rather than building platform-specific workarounds
• Design, build, and own the CI/CD infrastructure for the inference server and load balancer across cloud platforms, with shadow traffic, performance baselines (throughput and latency), and correctness checks that catch regressions before production
• Drive down merge-to-production cycle time by making validation faster, more parallel, and cost-effective enough to run on the same constrained accelerator pool that serves customers, without trading away reliability 
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have a strong interest in LLM serving; prior inference or ML experience is not required 
• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have a track record of building automation or test infrastructure that measurably improved release velocity or reliability
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With:

• LLM inference optimization, batching, and caching strategies
• Capacity-constrained scheduling or shared-resource test infrastructure
• Solid understanding of multi-region deployments, request routing, load balancing, global traffic management
• Working with CSP partner teams to scale infrastructure across multiple platforms, navigating differences in networking, security, privacy, and managed service
• Proficiency in Python or Rust

About the role

We are seeking a Staff Software Engineer to build and operate the safety, oversight, and intervention mechanisms that protect Claude on third-party cloud service provider (CSP) platforms. As the engineer responsible for Safeguards on those surfaces, you will ensure that every request served through our CSP partners is monitored for misuse, enforced against policy, and compliant with the data residency and privacy commitments that enterprise CSP customers expect.

You will sit at the seam between the Safeguards organization and the Cloud Inference team: taking classifiers, detection signals, and enforcement policies developed by Safeguards and making them run reliably inside a CSP partner’s infrastructure at serving-path latency and scale. You will own the architecture that lets our safeguards operate within those constraints without gaps. You will build, deploy and operate the multi-layered defenses that catch unwanted model behavior in real time, the telemetry pipelines that give us situational awareness over CSP traffic, and the enforcement hooks that let us act quickly when something goes wrong. Your work will directly determine whether Anthropic can ship frontier models on CSP platforms at the same safety bar we hold ourselves to on our first-party API.

Responsibilities:

• Build, deploy and operate real-time safeguards infrastructure—classifiers, rate limits, enforcement actions, and intervention hooks—embedded directly in the third-party CSP inference serving path
• Design and maintain the data residency and privacy architecture for safeguards signals on CSP platforms, ensuring we can detect abuse and monitor model behavior while honoring regionalization boundaries and enterprise contractual commitments
• Develop telemetry, logging, and evaluation pipelines that give Safeguards, Policy, and T&S operational teams situational awareness over CSP traffic and close the visibility gap between third-party and first-party serving
• Dive into the CSP serving stack to identify the lowest-impact points to gather signals or introduce interventions without degrading latency, stability, or overall architecture
• Hold a high operational bar: own on-call, drive root-cause analyses and postmortems for safeguards incidents on CSP platforms, and build systems that reduce the human intervention required to keep Claude safe
• Work closely with Safeguards research, Policy & Enforcement, the Cloud Inference team, and CSP partner contacts to turn detection research and policy decisions into production enforcement that works inside a partner’s cloud.

You may be a good fit if you:

• Have a Bachelor’s degree in Computer Science, Software Engineering, or comparable experience
• Have 7+ years of experience in high-scale, high-reliability software development, ideally with exposure to trust & safety, anti-abuse, fraud, or integrity systems
• Are proficient in Python and comfortable working across the stack—from request-path services to data pipelines to internal tooling
• Think adversarially: you can see a system from a bad actor’s perspective, anticipate how they will respond to countermeasures, and design defenses in depth rather than single points of enforcement
• Have experience scaling infrastructure to accommodate rapid traffic growth while keeping latency and reliability within tight budgets
• Are deeply interested in the potential transformative effects of advanced AI systems and are committed to ensuring their safe development
• Have strong communication skills and can explain complex technical and risk tradeoffs to non-technical stakeholders across Policy, Legal, and partner organizations
• Enjoy working in a fast-paced, early environment; comfortable with adapting priorities as driven by the rapidly evolving AI space

Strong candidates may also have experience with:

• Building trust and safety, anti-spam, fraud, or abuse detection and mitigation mechanisms for AI/ML systems, or the infrastructure to support these systems at scale
• Machine learning serving infrastructure (GPUs/TPUs, inference servers, load balancing) and the operational realities of running models in production
• Major cloud platform internals—IAM, Network/service perimeter controls, regional resource constraints, cloud-native logging/monitoring—or experience shipping software that runs inside a partner’s cloud rather than your own
• Data residency, privacy engineering, or compliance-constrained architectures, particularly where telemetry has to stay within regional or contractual boundaries
• Working closely with operational and human-review teams to build custom internal tooling, admin UX, and alerting
• Adversarial mindset: has shipped defenses against motivated attackers before, knows what it feels like when they adapt, and can sprint to close a gap before it becomes an incident
• Comfortable operating at the intersection of platform/infra engineering and trust & safety—neither a pure infra engineer nor a pure T&S engineer, but someone who can credibly do both
• Has shipped software that runs inside someone else’s infrastructure (partner cloud, embedded deployment, or similar) and knows how to get things done when you don’t control the whole stack
• Senior enough to own a cross-team seam independently, drive consensus across orgs, and make latency/safety tradeoff calls without escalation
• TypeScript or Rust, and agentic coding tools such as Claude Code

The Team + The Role

Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work that has historically sat across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo.

As a Senior Customer Engineer, you own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact extends beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team.

This is a remote role supporting a West Coast territory. 

What this looks like day-to-day

• New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and expansion across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops.
• Complex implementations and value realization: Lead onboarding for strategic customers, including planning, implementation, integrations, and training. You build customer-specific implementation playbooks, guide complex deployments with executive visibility, and ensure customers realize value during onboarding and over time.
• Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, you diagnose root causes, design a path forward, and connect technical work to measurable business outcomes.
• Technical escalation: Serve as an escalation point for complex technical challenges raised by other Customer Engineers. You resolve ambiguous problems with multiple variables and tradeoffs, involving Product or Engineering only when truly needed.
• Team capability building: Build playbooks, document repeatable fixes, coach peers, and improve how Customer Engineering work gets done across the team. You use AI tools to accelerate content creation, surface patterns across accounts, and share practical workflow findings with the broader team.
• Early account impact: Assess account health, risks, stakeholder relationships, and the highest-priority problems to solve within your portfolio. You establish trust with Account Directors and customer stakeholders, then independently lead complex customer interactions that move accounts forward.
• Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute reusable frameworks, playbooks, or processes that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Senior Customer Engineers don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• 5 to 8 years of experience in a customer-facing technical role such as Sales Engineering, Solutions Engineering, Technical Account Management, Customer Engineering, implementation, professional services, or solutions architecture.
• Deep hands-on experience with web technologies including HTML, CSS, JavaScript, and REST APIs, with the ability to architect and troubleshoot complex front-end implementations.
• Proven experience managing strategic Enterprise accounts with executive-level stakeholders, competing priorities, and complex technical or business requirements.
• Demonstrated ability to solve ambiguous problems involving multiple variables, constraints, and tradeoffs.
• Experience connecting technical execution to business outcomes such as retention, expansion, ROI, and value realization.
• Hands-on use of AI tools for account research, content creation, or workflow automation, with demonstrated integration into day-to-day work rather than light experimentation.
• Experience mentoring or coaching more junior technical team members.

Nice-to-haves

• Experience with Pendo, digital adoption platforms, product analytics, or in-app experience tooling in an enterprise environment.
• Hands-on experience with mobile app development, including Swift, Android, or React Native.
• Familiarity with data architecture, AI or machine learning concepts, or advanced analytics instrumentation.
• Track record of building reusable frameworks, playbooks, or processes that were adopted by a broader team.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Remote

Compensation: The expected On-Target Earnings (OTE) range for this role is $193,393 - $241,742, with a 70/30 base-to-variable compensation split.

Benefits: Pendo offers highly competitive United States benefits, including employer-heavy coverage with $0 premium options, strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

About the Role

As an Analytics Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions. 

Responsibilities:

• Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
• Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
• Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in our organization’s data models and the company's data architecture

You might be a good fit if you have:

• 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
• Expertise in SQL and Python to transform data into accurate, clean data models.
• Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
• 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, even if it requires going outside the original job description.
• Experience building an Analytics Data Engineering (or similar) function at start-ups. 
• A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.

About the Role

The Cloud Inference team scales and optimizes Claude to serve the massive audiences of developers and enterprise companies across AWS, GCP, Azure, and future cloud service providers (CSPs). We own the end-to-end product of Claude on each cloud platform, from API integration and intelligent request routing to inference execution, capacity management, and day-to-day operations.

Our engineers are extremely high leverage: we simultaneously drive multiple major revenue streams while optimizing one of Anthropic's most precious resources: compute. As we expand to more cloud platforms, the complexity of managing inference efficiently across providers with different hardware, networking stacks, and operational models grows significantly. We need product-minded backend engineers who can navigate these platform differences, design the services and abstractions that work across providers, and make architectural decisions that keep us reliable and cost-effective at massive scale.

Your work will increase the scale at which our services operate, accelerate our ability to reliably launch new frontier models and innovative features to customers across all platforms, and ensure our LLMs meet rigorous safety, performance, and security standards.

What You'll Do

• Design, build, and own backend services and infrastructure that serve Claude across multiple CSPs, accounting for differences in compute hardware, networking, APIs, and operational models
• Work cross-functionally with internal inference, product API, systems, and security teams, among others, and with CSP partners to stand up the full serving stack on new cloud platforms, resolve operational issues, and influence provider roadmaps
• Build and evolve CI/CD automation systems, including validation and deployment pipelines, that reliably ship new model versions to millions of users across cloud platforms without regressions
• Design interfaces and tooling abstractions across CSPs that enable cost-effective inference management, scale across providers, and reduce per-platform complexity
• Contribute to capacity planning, autoscaling, and workload routing strategies that match supply with demand and direct requests to the most cost-effective accelerator and region
• Analyze observability data across providers to identify performance bottlenecks, cost anomalies, and regressions, and drive remediation based on real-world production workloads

You May Be a Good Fit If You:

• Have significant software engineering experience, with a strong background in high-performance, large-scale distributed systems serving millions of users
• Have experience building or operating services on at least one major cloud platform (AWS, GCP, or Azure), with exposure to Kubernetes, Infrastructure as Code, or container orchestration
• Are curious about LLM serving; prior inference or ML experience is not required
• Thrive in cross-functional collaboration with both internal teams and external partners
• Are a fast learner who can quickly ramp up on new technologies, hardware platforms, and provider ecosystems
• Are highly autonomous and take ownership of problems end-to-end, including work that falls outside your job description

Strong Candidates May Also Have Experience With

• Direct experience working with CSPs to scale infrastructure or products across multiple platforms, navigating differences in networking, security, privacy, billing, and managed service offerings
• Have experience working with external partners to align goals and deliver impact
• Hands-on experience with capacity management, cost optimization, or resource planning at scale across heterogeneous environments
• Solid understanding of multi-region deployments, geographic routing, and global traffic management
• Proficiency in Python or Rust

What will I be doing?

• Converting qualified leads generated by the Inside Sales and SDR teams and taking them to successful closure.
• Generate own leads through outbound prospecting, working in liaison with marketing, leadgen, SDRs and customer success to own and drive this initiative. 
• Drive detailed business plans for goal and quota attainment. Strategize and drive each deal to closure.
• Drive thorough discovery of customer’s business priorities and challenges; offer relevant introduction to Zenoti’s products targeted to their individual business needs and challenges.
• Be a strategic business partner for new customers, offering consultation and insight into the customer’s market, industry, business model and opportunities regarding Zenoti systems.
• Work with the Technical Sales Engineer to prepare for demos and technical discussions with prospective customers.
• Facilitate handoff of new customers to software implementation teams with detailed notes and specifications from customers. Work with the support and implementation teams to ensure a smooth transition from sales and to manage customer expectations throughout their tenure with Zenoti.
• Follow up with existing customers to ensure they are getting the most out of the software solution and where required engaging other team members to help alleviate any challenges a customer is facing.
• Upsell additional Zenoti products and services to existing customers.
• Collaborate with Inside Sales team on strategy for increasing the sales pipeline. Continually identify opportunities to increase closure rate, improve implementation process handoff

What skills do I need?

• Experience in working with customers virtually. Some travel may be required.
• Experience working with small to mid-level sized companies.
• Self-motivated and goal oriented. Desire to work in a competitive environment where one’s growth potential is driven by one’s abilities and attitude.
• Excellent communication and presentation skills, personality, and the ability to build relationships and gain credibility and trust with customers.
• Organizational and time management skills
• 4-year Bachelor's Degree in Business or any relevant discipline. MBA preferred.
• 8+ years of strong relevant experience in customer-facing technology sales or inside sales representative roles in SMB, Mid-market, or Enterprise client segments.
• Knowledge of sales processes and adhering to such established processes.
• Account management and 360 problem-solving. 
• Experience in or an understanding of the spa, salon, fitness, and/or beauty & wellness industry a BIG PLUS!

The Opportunity

We are looking for a Key Account Director to lead growth within a set of Postman’s most important enterprise accounts. This role is part of a new strategic go-to-market motion designed to deepen our engagement with large enterprises, expand our footprint, and deliver the full value of the Postman platform.

You will be paired with a pod that includes a Principal Solutions Engineer and a Field CTO, forming a high-caliber account team focused on building long-term, value-based relationships. Together, you’ll engage senior technology leaders, uncover complex challenges, and drive adoption of Postman’s enterprise and platform solutions at scale.

This is not a traditional “low-hanging fruit” sales role—this is about strategic account expansion, multi-threaded enterprise engagement, and solution selling.

Location: This is a fully remote position. We are looking for someone based in the Seattle area who is able to visit customers in their territory.

What You’ll Do

• Own and grow a portfolio of strategic enterprise accounts (e.g., Fortune 500, cloud-first companies, large-scale developer organizations).
• Deeply engage with senior buyers—CIOs, CTOs, VPs of Engineering, Platform, Security, and Collaboration—to position Postman as a critical platform solution.
• Drive multi-threaded sales campaigns that expand existing usage and convert massive developer adoption (tens of thousands of users) into enterprise-wide value.
• Lead complex solution sales cycles across collaboration, security, API governance, and emerging AI-enabled workflows.
• Identify customer pain points and design tailored value propositions that demonstrate ROI and impact at scale.
• Orchestrate cross-functional engagement with Customer Success, Product, and Marketing to maximize customer outcomes.
• Track, forecast, and report on account progress, pipeline health, and business results.
• Be a thought partner to your accounts, staying ahead of industry trends like agentic AI, workflow automation, and cloud-native development.
• Partner with relevant stakeholders to drive account strategy and expansion.

About You

• 10–15 years of enterprise sales experience, with a proven track record in strategic account management and expansion.
• Experience selling technical and platform products (developer tools, SaaS platforms, cloud infrastructure, or security solutions).
• Demonstrated success in solution selling—engaging with senior technology leaders and driving multi-million dollar expansion deals.
• History of working long cycles and successfully growing accounts over time.
• Ability to navigate large, complex organizations with thousands of users and multiple stakeholders.
• Collaborative mindset with experience working closely with technical teams (solutions engineers, architects, CTOs).
• Deep understanding of enterprise buyer personas (security, collaboration, platform, developer productivity).
• Curiosity and fluency in emerging technologies, particularly AI/agentic AI, and how they can automate workflows and deliver customer value.
• Strong executive presence, relationship-building skills, and the ability to influence at the C-suite level.

Why Join Us

• Be part of an innovative sales model at one of the fastest-growing developer platforms in the world.
• Partner with world-class colleagues in a pod structure designed to maximize customer impact.
• Work with some of the largest and most innovative technology companies on the planet.
• Play a key role in shaping how Postman goes deeper into enterprise accounts and accelerates platform adoption.

The reasonably estimated OTE for this role is $320,000- $420,000 plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

About the Role

We are looking for a Senior Solution Lead to join our high-performing Pre-Sales & Solution Strategy team. You will sit at the intersection of Sales, Delivery, Product, and Client Leadership, shaping the solutions we take to market and directly influencing multi-million-dollar outcomes.

This is not a “respond to the RFP and pray” role. This is a strategic, high-ownership, high-IQ seat where you:

• Shape the problem,
• Design the solution, and
• Influence how we win and deliver.

You will focus exclusively on large, complex opportunities valued at $1M+, where your problem-framing, technical depth, and storytelling materially impact win rates.

You will report to the Head of Pre-Sales & Solution Strategy and collaborate with a senior, globally distributed team across India, the US, and Europe.

Responsibilities:

What You’ll Own

1. Deal Shaping & Pre-Sales Architecture

• Translate ambiguous client goals into clear, compelling, technically credible solution architectures (Figma/Miro/Adobe)
• Lead discovery workshops, ask incisive questions, and define what a winning solution looks like—for the client and for us.
• Build decks, narratives, and pricing models that position us decisively above competitors. (Google/PP/Canva)
• Navigate seamlessly between C-level outcomes (business case, ROI, risk) and engineering deep dives (architecture, delivery approach, tradeoffs).
• Own the solution narrative end-to-end across EOI/RFI/RFP responses, orals, and executive briefings.
• Solution Estimating: Provide high level pricing estimates tied to value impact statements (ROI) for clients including software, hardware, cloud and tooling licensing for POC/MVP/Commercial models
  
  

2. Cross-Domain Solution Engineering

Own the solution across the full delivery lifecycle, spanning:

• Applications – modernization, greenfield engineering, platforms, integration
• Infrastructure – cloud infra, DevOps, SRE, infra automation
• Security – controls, IAM, governance, secure-by-design patterns
• Cloud – AWS / Azure / GCP architectures, migration strategies, optimization / FinOps
• Tooling- AI models, ISV licenses, tokens etc

You bring technical breadth with depth in at least one practice area and can credibly orchestrate end-to-end solutions.

A practical understanding of how AI cuts across these domains is essential, including:

• agentic automation across workflows and operations
• private AI stacks (RAG, governance, observability)
• model-integrated applications and copilots that augment existing systems

3. Go-To-Market & Productized Offerings

• Turn our capabilities into clear, differentiated, repeatable solutions and offerings.
• Collaborate with Product, Delivery, and Marketing to evolve our GTM playbooks and sales assets.
• Package reference architectures, POVs, and standard patterns based on real market demand.
• Capture learnings from deals and delivery to refine offerings and win themes.

4. Internal Collaboration & Leadership

• Partner closely with Sales on deal strategy, qualification, and pursuit plans.
• Align with Delivery Leaders to ensure proposed solutions are buildable, profitable, and differentiated.
• Contribute to sales enablement via reusable messaging, templates, and pricing frameworks.
• Act as a thought leader and mentor for junior solution engineers and architects.

What Success Looks Like

• You influence $6M+ in annual revenue through deals with TCV targets valued at $1M+.
• Stakeholders (Sales, Delivery, Clients) consistently rate your solutions as clear, differentiated, and client-aligned.
• Sales teams proactively pull you into strategic conversations because you “help deals close.”
• Delivery teams trust your architectures—and want to build them.
• You significantly enhance our GTM library with reusable assets, offerings, and standard patterns.
• Over time, you shape or lead 1–2 strategic offerings or solution themes for the company.

Who Thrives in This Role

We’re targeting top-tier pre-sales / solution engineering talent in India who demonstrate:

• Flexible thinking – can reshape a problem even when the client can’t articulate it clearly
• Structured reasoning – can break down complexity into options, tradeoffs, and recommendations
• Technical breadth + depth – strong grounding in apps, infra, security, and cloud, with a sharp view of how AI enhances each
• Storytelling ability – can communicate crisply to CXOs, procurement, and engineering teams
• Calm confidence – comfortable leading conversations amid ambiguity and pace
  Ownership mindset – thinks like an owner, not a vendor; cares about long-term value and delivery success

About You

The essentials:

• 7–12+ years in pre-sales engineering, solutions architecture, or consulting roles in IT services / SaaS / cloud / AI-led solutions
• Proven ability to influence or close $1M+ services deals (multi-tower or multi-year preferred)
• Hands-on understanding of services delivery, including SDLC, cloud migrations, modernization, architecture patterns, and infra operations
• Experience designing or positioning solutions with AI integration, agent workflows, automation, or model-enhanced apps (copilots, RAG systems, intelligent workflows)
• Ability to build defensible pricing models (T&M, fixed-price, managed services, outcome-based)
• Strong written and verbal communication skills in English; experienced presenting to senior stakeholders
• Comfortable working with distributed global teams across time zones

Not a must, but a plus:

• Hands-on experience with one or more major cloud providers (AWS, Azure, GCP)
• Familiarity with modern data and AI stacks (Snowflake, Databricks, vector DBs, LLM orchestration frameworks)
• Background in consulting-led environments (Big 4, global SIs, boutique consulting firms)
• Industry experience in BFSI, Retail, Manufacturing, Healthcare, or similar

At.Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.  

LOCATION salary range

$150,000— $180,000 USD

#LI-REMOTE 

#LI-SDL1

About the role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Cluster Infra owns the full lifecycle of compute clusters at Anthropic. We build agent-driven automation for cluster provisioning and lifecycle management across all major cloud providers and our own datacenters. Our systems stand up clusters that are interconnected with high bandwidth, secure-by-default, and able to automatically drain and recover in response to failure. As a Staff engineer on this team, you'll set the technical direction for how Anthropic brings compute online - at a moment when the scale of that compute is growing faster than at almost any company in the world.

Key responsibilities

• Own the technical strategy and roadmap for agent-driven cluster lifecycle management - provisioning, updates and decommissioning
• Partner across teams to ensure new compute capacity is ingested on time
• Align with partner teams on physical build-out and leverage cloud solutions to deliver high-bandwidth inter-cluster connectivity
• Collaborate with security owners to ensure clusters are provisioned secure-by-default
• Define and drive strategy on cluster scalability, homogeneity and fault tolerance
• Work closely with cloud providers and internal research, inference and product teams to shape long-term compute, data, and infrastructure strategy
• Establish and evolve operational-excellence practices: incident response, postmortem culture and on-call health
• Support the growth of engineers around you through technical mentorship and coaching

Minimum qualifications

• Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure)
• Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform.
• Track record of leading complex, multi-quarter technical initiatives spanning multiple teams or systems
• Ability to build alignment across senior stakeholders and communicate effectively at all levels

Preferred qualifications

• 8+ years of software engineering experience, including time as a technical lead setting direction for a team
• Experience operating large-scale compute infrastructure at hyperscale (100+ clusters, 10K+ nodes)
• Depth in one or more of: Kubernetes internals, cluster provisioning and management systems, cluster orchestration systems (Mesos, Borg-like)
• Experience with cloud networking: VPC design and peering, Shared VPC/Transit Gateway, Cloud Interconnect/Direct Connect, Cloud NAT, cross-cloud private connectivity, BGP and route control, edge load balancing and DDoS mitigation (Cloud Armor / AWS Shield)
• Experience with cluster and host networking: CNI (Cilium), eBPF, NetworkPolicy, multi-NIC, sFlow, service mesh (Istio/Envoy/Linkerd, mTLS)
• Experience with cluster security: pod security standards and admission control, RBAC and least-privilege IAM, node and container hardening, supply-chain/image provenance
• Deep experience with infrastructure-as-code (Terraform, Atlantis), workflow orchestration (Temporal, Argo Workflows)
• Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches.

What you’ll do

The restaurant industry has zero data standardization - POS systems, delivery apps, and inventory tools all speak different languages. This causes semantic drift, impedes AI enablement, and erodes trust. The Analytics Engineering team is tackling this head-on through best-in-class data normalization and modeling, a semantic layer, and automated data quality frameworks - contributing to a world-class data ecosystem from the ground up.

As an early and key contributor to this team, you'll balance hands-on technical ownership with deep cross-functional collaboration. That means building scalable data models and pipelines while partnering with Product, Engineering, Operations, and Data Science to understand how restaurants use Otter, measure platform quality and growth, and transform raw operational data into production-ready datasets that power business decisions and AI-driven products.

Responsibilities:

• Design, build, and maintain scalable data pipelines and models, owning the full lifecycle from source system ingestion through canonical datasets to production-ready analytics.
• Build and optimize data models that run against both batch and real-time query engines, understanding the tradeoffs and appropriate use cases for each.
• Partner with Engineering, Product, and Data Science teams to understand data needs and data generation patterns, define source-of-truth datasets, and ensure data quality across the pipeline.
• Design and maintain data integrity standards, SLAs, alerting, and best-practice data validation frameworks.
• Drive the development of self-service analytics solutions and AI-powered data tools to scale data access for both internal teams and external customers.
• Contribute to the design and evolution of our semantic layer and data modeling standards across the organization.
• Foster a culture of technical excellence, continuous learning, and data-fluency.

What we’re looking for

• 2+ years in the data space as an analytics engineer or data engineer, preferably in a scaling startup environment.
• Strong technical foundations with deep experience in SQL, Python, version-controlled environments, and modern data tooling, including hands-on experience with a SQL-based transformation tool (e.g., dbt, SQLMesh, or similar).
• Significant experience with a large-scale (1B+ rows) data ecosystem, with familiarity across both batch processing and real-time or OLAP query engines.
• Strong understanding of data modeling concepts: star schemas, slowly changing dimensions, incremental materialization strategies.
• Experience partnering with Product, Engineering, and Data Science to deliver data products.
• Demonstrated ability to balance strategic thinking with hands-on technical ownership.
• A "full-stack mindset", not hesitating to do what it takes to solve a problem end-to-end.
• A passion for high-quality, scalable, and highly usable technical systems.

Why join us 

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know 

This role is based in our Seattle office location. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

The base salary range for this role is $137,000 - $162,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave

Benefits are subject to change at the company's discretion.

Ready to join us as we serve those who serve others? 

#LI-Onsite

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

In this position, you’ll play a critical part in advancing the Axon 911 mission to Save Lives.

Here's your chance to join our Global Operations team in order to implement, integrate, and deploy our real-time emergency service platforms to our clients, including 911 Public Safety Answering Points (PSAPs) organizations.

In addition to your core role, you will also be suited to providing input into a wide range of technical activities within the company, ranging from technical pre-sales, core architectural and design working sessions, and technical support activities. You will lead onsite and remote installations of Carbyne’s SaaS products, and you will also play an important role in the customer’s site and system architecture by following Carbyne’s best practices and your strong technical experience.

You will work in a high-activity/fast-paced environment, with the ability to handle ambiguity and multiple tasks or projects at once. Your teammates are passionate Customer Success and Technical Support teams, but also broader teams such as Product, Marketing, Development and Engineering teams.

What You’ll Do

Deployment Expertise:

• Plan, design, and execute end-to-end deployment projects for our cloud call-handling solutions.
• Work closely with customers to understand their needs and ensure successful implementations.

911 Systems Technical Depth:

• Provide advanced technical training and knowledge transfer to customers throughout the deployment process.
• Collaborate with engineering teams on complex technical solutions and troubleshooting.

Customer Relations:

• Be a trusted advisor to our customers.
• Provide ongoing support during deployment, including working after hours on installations and post-implementation assistance.
• Champion a customer-centric approach within the team.

Process Improvement:

• Continuously improve our deployment processes and documentation to ensure efficiency and scalability.

Collaboration:

• Work effectively across internal teams (Sales, Engineering, Customer Success, and Support) to ensure seamless project delivery.
• Maintain strong communication with leadership and stakeholders.

What You Bring

• Bachelor's degree in a technical field (or equivalent experience)
• At least 8+ years of experience in a technical role related to VoIP (e.g., PBX, Call Center)
• Proven knowledge of AWS cloud infrastructure
• Proven experience in planning, executing, and delivering complex projects
• Strong communication, interpersonal, and conflict-resolution skills
• Ability to manage multiple priorities and work effectively under pressure
• Excellent analytical and problem-solving skills
• Experience with network infrastructure, including routers, firewalls, and the OSI model
• Ability to travel up to 50% of the time

Nice-to-Haves:

• Experience with the public safety industry (ENP Certification/NG911)
• Knowledge of Cisco UCS and/or FreeSWITCH
• Knowledge of streaming technologies (SIP, RTSP, RTMP, SIP-to-PSTN gateways, SIP Trunk, Wowza, WebRTC)

Work Location

This role is fully remote within the United States with up to 50% travel for customer meetings, training sessions, and industry events.

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
• 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.

Pay Transparency: 

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base annual pay for this role is between $88,200.00 - $135,240.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

The Impact You’ll Be Contributing to Moloco: 

The Customer Engineering (CE) team at Moloco partners with the Business Development (BD) and Product/Engineering teams to be the trusted technical advisors for Moloco’s clients. You will help the retail media platform owners to successfully build an in-house advertisement business for clients using the Moloco Commerce Media (“MCM”), a machine learning-powered AdTech solution. 

Within the MCM org, the Customer Engineering team (CE) is responsible for driving the successful adoption of Moloco Commerce Media, serving as GTM champions and technical experts. The CE team will drive the successful adoption of our products by advising clients on the best technical implementation and delivering training, architecture design consultations, and best practices. The CE team identifies gaps in the product, develops technical solutions, and communicates feature requests to product, engineering, and other cross-functional partners to shape product direction.

The Opportunity: 

• Be the trusted technical advisor for clients by offering guidance on platform integration, optimization, and troubleshooting.
• Understand clients' business objectives and challenges to provide tailored technical solutions and recommendations.
• Collaborate with BD teams to support pre-sales activities, including product demonstrations, technical consultations, and solution design.
• Lead technical implementation projects, including platform setup, configuration, and customization, to meet clients' requirements and deadlines.
• Conduct training sessions and workshops to educate clients on best practices, new features, and industry trends.
• Proactively identify opportunities for process improvement, feature enhancements, and product innovation based on client feedback and market insights.
• Stay abreast of industry developments, emerging technologies, and competitive landscape to maintain a deep understanding of the AdTech ecosystem.

How Do I Know if the Role is Right For Me? 

• 8+ years of professional experience within cloud, software, or machine learning domain areas like software engineering, systems engineering, machine learning, cloud infrastructure architecture, networking, security, data and analytics. 
• 5+ years in technical field roles – like Solutions Architect, Customer Solutions Engineer or Professional Services Consultant – in the retail or the AdTech industry.
• 3+ years of hands-on implementation, architecture design, or consulting experience in the application or the cloud infrastructure. 
• Strong technical and problem-solving skills, the ability to understand and troubleshoot systems and application flows, dive deep into complex problems & find their root cause.
• Experience in a technical role within the AdTech industry, preferably with hands-on experience in ad serving platforms, programmatic advertising, or related technologies.
• Comfortable communicating technical concepts to both technical and non-technical audiences.
• Demonstrated experience to autonomously identify goals and effectively deliver the goals along with the cross-functional internal and external stakeholders.

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

About the Team

As a Senior+ Agentic Analytics Engineer at Opendoor, you will join the Data organization and help build something that doesn't exist at most companies: an Agentic Analytics team. This is a high-impact IC role at the intersection of data science, data engineering, and AI.

Opendoor has adopted a "Default to AI" philosophy—if AI can handle it, AI should handle it. We're not theorizing about AI transformation; we're shipping it.

Why This Role

Most analytics teams are stuck in reactive mode—fielding ad-hoc requests and building dashboards that go stale. We're building something different: AI systems that proactively tell leaders what they should focus on, why it matters, and what to do about it.

If you want to define what analytics looks like in an AI-first company, this is it.

What You'll Do

Build Proactive Intelligence Systems

• Design and deploy AI agents that monitor business performance and surface actionable insights without being asked

• Architect systems that shift analytics from "answering questions" to "anticipating needs"

• Create intelligent alerting that distinguishes signal from noise and recommends specific actions

Create AI-Powered Analytics Tools

• Develop natural language interfaces that let business leaders query data conversationally

• Build semantic layers that translate business concepts into data structures optimized for LLM reasoning

• Ship internal tools that transform how Opendoor makes decisions at every level

Own the Analytics-to-Action Pipeline

• Design data models that support automated analysis, pattern detection, and AI agent interactions

• Build workflows that connect insight generation to recommended actions

• Establish feedback loops that make our AI systems smarter over time

Drive Leverage Across the Business

• Identify high-value opportunities where AI can augment human decision-making

• Implement end-to-end solutions using Claude, custom agents, and modern AI tooling

• Measure impact rigorously—we care about decisions influenced, not dashboards built

We're Looking for Teammates Who Have

Technical Foundation

• 5+ years of experience in analytics, data science, or data engineering, with increasing scope and ownership

• Expert-level SQL with demonstrated ability to design complex data models and optimize for both human and AI consumption

• Strong Python proficiency for data engineering, automation, and AI agent development

• Experience with modern data warehouses (Snowflake, BigQuery, or similar) and the broader data stack (dbt, Airflow, etc.)

AI & Automation Expertise

• Hands-on experience building and deploying AI agents or LLM-powered applications in production

• Deep understanding of LLM capabilities, limitations, and prompt engineering best practices

• Experience architecting semantic layers or natural language interfaces for data access

• Proven ability to identify high-ROI automation opportunities and ship end-to-end solutions

Analytics & Business Acumen

• Track record of driving measurable business impact through analytics—not just producing analyses, but influencing decisions

• Strong analytical intuition—you know what questions matter before they're asked

• Experience translating ambiguous, cross-functional business problems into technical solutions

• History of operating autonomously and setting direction, not just executing on defined projects

Leadership & Influence

• Experience mentoring other analysts or engineers, formally or informally

• Demonstrated ability to influence senior stakeholders and drive alignment across teams

• Comfort operating in ambiguity and shaping strategy, not just responding to it

• Track record of building systems and processes that scale beyond yourself

Builder Mindset

• You ship products, not just dashboards 

• You'd rather build something useful in a week than something perfect in a quarter

• You measure success by business impact, not technical complexity

• You're energized by creating leverage—building once so others benefit forever

Bonus Points If You Have

• Experience in real estate, fintech, or marketplace businesses

• Background in marketing analytics, sales operations, product analytics, or pricing/economics

• History of building tools or platforms that replaced recurring analyst work

• Experience leading technical projects or small teams

ABOUT THE TEAM:

The Corporate Technology Engineering team is responsible for building and improving the many systems that enables Anduril to accomplish its mission. Anduril’s supply chain, accounting, sales & growth, engineering, modeling & simulation, field maintenance, manufacturing, and many more teams rely on the technology built and maintained by our team. We work across the company to ensure we have the tools and capabilities necessary for mission success.

ABOUT THE JOB:

We’re seeking a highly motivated Senior Software Engineer to join a fast-paced team dedicated to the continued development of Forge. Forge integrates various internal systems to ensure the right data is in the right place at the right time, driving our production lines efficiently. You will collaborate with a talented team of engineers, product managers, and other cross-functional teams to build and enhance this critical system. 

To succeed on this team you will need to be curious, an excellent communicator, of a strong product mindset, be able to go from idea to implementation, and take ownership and pride in your work.

WHAT YOU'LL DO

• Work in a mini-startup environment to create elegant SaaS solutions that integrates effectively with on-premise systems
• Work with a high-functioning team of developers with an emphasis on finishing business-critical projects
• Write high-quality code that enhances the performance, scalability, and reliability of the Forge platform
• Engage in code reviews, architectural discussions, and continuous improvement initiatives
• Provide technical support for Forge users and troubleshoot issues as they arise
• Have an area of deep expertise in a portion of the full stack (i.e. backend, frontend, integration)

REQUIRED QUALIFICATIONS

• Willingness to work with the team on-site on a rotation for shift 2 (~3pm - 11pm)
• 5+ years of experience in a software engineering role building products, ideally in a fast-paced environment
• Degree in Computer Science, Information Systems, Electrical Engineering or related technical degree
• Experience working with large enterprise applications and platforms with high availability requirements
• Proficiency with web-based technologies such as Javascript, React, Typescript, and web frameworks such as Remix or NextJS
• Ability to empathize with end-users, to turn needs into features, and to balance user experience with engineering constraints
• U.S. Person status is required as this position needs to access export controlled data
• Eligible to obtain and maintain a U.S. TS clearance

PREFERRED QUALIFICATIONS

• Familiarity with AWS, Typescript, and React/Remix
• Experience/knowledge with eventing systems and large data streaming for test automation
• Experience in hyper growth startup-like environments, with demonstrated success in scaling and maturing software development processes
• A background in scaled manufacturing environments
• Previous experience with supply chain, manufacturing, or related enterprise software is a plus

Responsibilities:

• Designing and implementing from scratch new information architecture strategies
• Performing finetuning and reinforcement learning to teach language models how to interact with new information architectures
• Building “hard” knowledge base eval sets to help identify failure modes of how language models work with external data
• Designing and evaluating advanced agentic search capabilities.

You may be a good fit if you:

• Are a very experienced Python programmer who can quickly produce reliable, high quality code that your teammates love using
• Have good machine learning research experience 
• Have experience developing software that utilizes Large Language Models such as Claude
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to partner with world-class ML researchers to develop new LLM capabilities
• Care about the societal impacts of your work
• Have clear written and verbal communication

Strong candidates will also have experience with:

• Collaborating with product teams to quickly prototype and deliver innovative solutions
• Building complex agentic systems that utilize LLMs
• Developing scalable distributed information retrieval systems, such as search engines, knowledge graphs, RAG, indexing, ranking, query understanding, and distributed data processing

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do

• Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery.
• Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines.
• Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance.
• Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests.
• Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics.

What we’re looking for

• 3+ years of domain experience.
• Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.)
• Required bachelor’s degree in Computer Science, Engineering, or a related field (or relevant practical experience).
• Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems.
• Experience with SQL and relational data modeling concepts.
• Strong problem-solving skills with a collaborative, proactive attitude.
• Good communication skills; ability to explain technical concepts to team members.

Why join us 

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know 

This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

The base salary range for this role is $167,000 - $230,000 per year.

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others?  

#LI-Onsite

Who we are 

In the past, to be a successful restaurateur, you simply had to have a passion for food and a passion for people - but to succeed as a digital restaurateur you also need to have a passion for technology. We believe in the joy of serving others, and that's why we created Otter – to help restaurateurs succeed in online food delivery. Restaurants around the world, both large and small, including Chick-fil-A, Ben & Jerry’s, KFC, and Eataly trust our software to power their delivery business. We increase sales, reduce order issues, and decrease delivery headaches. 

What you’ll do

• Lead the development, architecture, and maintenance of real-time streaming pipelines with Apache Flink, Kafka, and related tools to ensure low-latency, reliable data delivery.
• Implement data quality strategies, including dynamic filtering, checkpointing, and auto-healing for robust, consistent pipelines.
• Support and operate real-time data infrastructure, internal tooling, and monitoring systems for pipeline health and performance.
• Collaborate cross-functionally with product, engineering, and analytics teams to address data needs and feature requests.
• Establish and promote best practices in streaming data engineering, data governance, and cloud platforms while optimizing data models for streaming analytics.

What we’re looking for

• 4+ years of domain experience.
• Exposure to streaming data frameworks/tools (e.g., Apache Kafka, Apache Flink, Google Data Flow, etc.)
• Required bachelor’s degree in Computer Science, Engineering, or a related field (or relevant practical experience).
• Experience in programming languages (Java, Python, or Scala) and their application in distributed computing systems.
• Experience with SQL and relational data modeling concepts.
• Strong problem-solving skills with a collaborative, proactive attitude.
• Good communication skills; ability to explain technical concepts to team members.

Why join us 

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery. 
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow and achieve your goals, and you’ll work closely with other teams to ensure our customer’s success.

What else you need to know 

This role is based in our Seattle office. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week. 

The base salary range for this role is $167,000 - $230,000 

Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications.

Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus.

Benefits Summary (USA Full-Time Exempt Employees):

• Medical, dental, and vision insurance (multiple plans, incl. HSA options).
• Company-paid life and disability insurance (short- and long-term).
• Voluntary insurance: accident, critical illness, hospital indemnity.
• Optional supplemental life insurance for self, spouse, and children.
• Pet insurance discount.
• 401(k).
• Time Off policies:
• Discretionary vacation days
• 8 paid holidays per year
• Paid sick time
• Paid Bereavement leave
• Paid Parental Leave
• Health Savings Account (HSA)
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

Benefits are subject to change at the company's discretion.
Atoms accepts applications on an ongoing basis.

Ready to join us as we serve those who serve others? 

#LI-Onsite

About the role

Anthropic runs some of the largest Kubernetes clusters in the industry. We have fleets of hundreds of thousands of nodes across multiple cloud providers and datacenters to train, research, and serve frontier AI models. The Kubernetes Platform team owns the Kubernetes control plane that makes those clusters work.

We are operating at a scale where the defaults stop working. We own the scheduler and extend it to place topology-sensitive ML workloads across thousands of accelerators at once. We scale the control plane itself — apiserver, etcd, controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.

We make sure the control plane is fast, correct, and always available. Your work will directly determine whether Anthropic can keep reliably and safely training frontier models as our compute footprint continues to grow.

Key responsibilities

• Own, operate, and extend the Kubernetes scheduler for Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemption
• Scale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds us
• Design, build, and operate core cluster services such as service discovery that every workload in the fleet depends on
• Build and maintain custom controllers, operators, and CRDs
• Partner with research, training, and inference to understand workload shapes and turn their requirements into platform capabilities
• Collaborate with cloud providers on required features and escalations
• Participate in on-call, lead incident response, and design processes (postmortems, runbooks, SLOs) that help the team avoid repeating failures

Minimum qualifications

• Significant software engineering experience building and operating production distributed systems
• Proficiency in at least one systems-appropriate language (e.g., Go, Python, Rust, or C++)
• Deep, hands-on Kubernetes experience (well beyond "user of”) into scheduler, controllers, apiserver, or operating large multi-tenant clusters
• Demonstrated ability to debug complex issues across the stack, from API behavior down to node and network-level root causes
• A track record of designing for reliability, correctness, and clear failure semantics in systems other engineers depend on
• Strong written and verbal communication; comfort building consensus with internal stakeholders

Preferred qualifications

• Experience with Kubernetes internals or contributions: kube-scheduler / scheduling framework, apiserver, etcd, client-go, controller-runtime, or similar
• Experience building or operating cluster schedulers or batch systems (e.g., Kueue, Volcano, Slurm, or in-house equivalents)
• Background scaling control planes or coordination systems (etcd, ZooKeeper, Consul, or large DNS/service-mesh deployments)
• Familiarity with ML infrastructure: GPUs, TPUs, or Trainium; gang scheduling; topology-aware placement; collective networking such as NCCL
• Experience with GCP and/or AWS, including GKE/EKS internals and Infrastructure as Code
• Low-level systems experience such as Linux kernel tuning, cgroups, or eBPF
• 8+ years of relevant industry experience, including time leading large, ambiguous infrastructure projects

Team Overview:

The Senior Product Compliance Engineer will join our Product Realization Engineering team, a group dedicated to bringing innovative RFID products from concept to market. This team works closely with all engineering groups at Impinj and plays a critical role in ensuring product quality, compliance, and readiness for global launch.

As part of this team, you’ll collaborate across multiple functions—hardware, software, manufacturing, and operations—while managing diverse responsibilities that range from regulatory compliance to supporting New Product Introduction (NPI) activities with our contract manufacturing partners. The work is dynamic and varied, requiring strong attention to detail, excellent communication skills, and the ability to adapt to different technical and process challenges.

If you enjoy working in a highly collaborative environment and thrive on solving complex problems that span multiple specialties, this team is the perfect fit.

What You Will Do:

• Lead radio, safety, and environmental regulatory certifications for Impinj Reader and Gateway products
• Stay ahead of changing regulations and certification requirements; advise engineering and product management teams on compliance needs for new and existing products
• Lead the end-to-end process for product safety and reliability testing, including managing vendor quotes, scheduling, providing samples, and ensuring timely completion
• Own radio performance and safety testing for products in collaboration with third-party labs
• Arrange product reliability evaluations using internal and external testing resources
• Support the release of new hardware revisions to manufacturing by providing accurate documentation, such as drawings and BOMs
• Maintain revision control and handle the change management of product documents required for manufacturing
• Proactively seek clarification and raise critical issues to senior engineers or management as needed

What You Will Bring:

• A Bachelor's degree in Electrical Engineering, mechanical Engineering, Physics, or related technical field
• Minimum 8 years of experience in development, support, or manufacturing of electronic products
• Minimum 3 years of direct experience with radio regulatory compliance
• Expertise in managing the full documentation lifecycle for manufacturing and product development, including updates and revision control
• Ability to produce clear, accurate documentation and communicate effectively with cross-functional teams
• Proven ability to interpret complex regulatory requirements and apply them to products
• Exceptional attention to detail when reviewing and approving test reports
• Competence in planning and preparing annual budgets related to compliance and certifications

Compensation & Benefits:

The benefits listed below may vary depending on the nature of your employment with Impinj and the country where you work.

The typical base pay range for this role across the US is $111,200 - $166,800. Individual base pay depends on various factors such as complexity and responsibility of role, job duties, requirements, and relevant experience and skills. Both market wage data and the mid-point of the pay range is reviewed and used as the starting point for all new hire offers. Offers are made within the base pay range applicable at the time.

At Impinj certain roles are eligible for additional rewards, including merit increases, annual bonus and stock. These awards are allocated based on individual performance. In addition, certain roles also have the opportunity to earn sales incentives based on revenue or utilization, depending on the terms of the plan and the employee’s role. US based employees have access to healthcare benefits; a 401(k) plan and company match among others.

For a more comprehensive list of US employment benefits, click here. 

US Export Controls:

This position has access to technologies or data subject to U.S. export control regulations. Under these laws, the release or transfer of export-controlled items or information to individuals who are not classified as "U.S. persons" (as defined by Immigration & Nationality Act) may require prior authorization from the U.S. government. We may require additional documentation related to national identity to determine whether an export compliance license is required for any export-controlled items. This information is requested solely for the purpose of complying with U.S. export control laws and will not be used for other purposes. Learn more about export compliance here.

About the Role

Anthropic's Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams. 

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• 15+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• 3+ years (not including internships or co-ops) of experience leading large scale complex projects or teams as a tech lead
• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

Deadline to apply: None. Applications will be reviewed on a rolling basis.

Applicants must be authorized to work for any employer in the U.S. without sponsorship. We are unable to provide sponsorship for work visas of any kind at the time of hire, or at any point during employment. This includes, but is not limited to: F1-OPT, F1-CPT, H-1B, TN, J-1, etc

Your Role:

Tenable is seeking an experienced Pre-Sales Engineer to own and drive the Business and Technical aspects of strategic Enterprise selling in your assigned region. You will be partnering with Enterprise Territory Managers and a strong team of peers to differentiate the Tenable solutions from our competitors, create lasting customers by positioning unique business values they are looking for and most importantly, create raving fans of Tenable throughout your area of influence.

Your Opportunity:

• Deliver compelling technical presentations and live demonstrations of Tenable Enterprise products
• Manage enterprise software trials and Proof of Concept evaluations, mapping unique business values with customer business objectives
• Answer technical questions and provide consultative guidance on security best practices, compliance frameworks, and risk management
• Apply advanced technical skills to demonstrate the value and impact of Tenable’s solutions in solving real-world customer challenges
• Maintain and strengthen relationships with existing customers, while identifying and cultivating new strategic opportunities
• Present thought leadership content and represent Tenable at industry events, executive briefings, and customer-facing sessions
• Leverage strategic technical selling skills to engage key stakeholders, from engineers to CISOs, and influence decision-making
• Travel as needed (typically around 50%) to support key customer engagements, critical sales opportunities, and high-impact cybersecurity events
• Collaborate cross-functionally with product management and engineering to surface customer feedback and prioritize critical customer use cases
• Help shape future innovations by identifying gaps and contributing ideas for new product features and capabilities
• Deliver clear status reports for Proofs of Value (POVs) and active opportunities; this data is mission-critical for forecasting business health and ensuring alignment with territory and organizational growth goals
• Meet with prospective clients to discover what their biggest security challenges and highest priority business drivers are

What You'll Need:

• 5+ years of experience in a customer-facing technical sales role, with a demonstrated track record as a trusted and successful sales engineer
• Proven ability to lead and win technical proof-of-value (PoV) engagements with strategic enterprise customers
• A customer-centric mindset, with a relentless focus on delivering business value and building long-term relationships
• Recognized thought leadership in cyber security, including experience in public speaking and industry engagement
• Strong communication skills with the ability to tailor and deliver impactful presentations to diverse audiences, including engineers, security professionals, and executive stakeholders
• A collaborative, team-oriented approach, committed to knowledge-sharing and cross-functional success, while proudly representing our One Tenable team culture
• Exceptional Situational and Self-Awareness, with the high emotional intelligence (EQ) required to navigate complex stakeholder dynamics, adapt communication styles in real-time, and maintain a grounded, professional presence during high-pressure technical demonstrations

And Ideally:

• 5+ years of Sales Engineering experience with a focus on vulnerability management, cloud security, Operational Technology or complex enterprise SaaS environments
• Core Network Security & TCP/IP Foundations, including an understanding of the OSI model, packet analysis, and other advanced network security concepts
• Vulnerability Management Expertise, with hands-on experience using Nessus and other industry-standard network security scanning tools to identify, validate, and prioritize vulnerabilities across hybrid environments
• Experience with securing modern Cloud Infrastructure like AWS, Azure, and Google Cloud
• Basic understanding of Container Security, specifically securing Docker and Kubernetes (K8s) environments
• AI Security Knowledge, including the ability to identify and mitigate risks that LLM’s, and agents bring to businesses
• Basic Understanding of Identity and Access Management (IAM), including its critical role as the modern security perimeter and how to manage user and service permissions across cloud environments
• Automation & DevSecOps Mindset, with the ability to leverage Python SDKs, REST/GraphQL APIs, Terraform, and more
• Strategic Compliance Knowledge, mapping technical findings to frameworks like CIS, FISMA, PCI, and emerging AI-specific regulations (e.g., NIST AI RMF)
• Strong Academic & Professional Credentials, including a BS in Computer Science (or equivalent) and certifications such as CISSP, AWS Solutions Architect, or CKA (Certified Kubernetes Administrator)
• Obtain a basic knowledge and use of the command line, and is familiar with and able to demonstrate proficient use of our API

#LI-MS1

About the role

Anthropic’s mission requires the ability to defend our compute resources against all types of adversaries. Meeting that bar requires more than trustworthy hardware, it requires a software stack to consume the trust primitives the platform produces: device identities, attestation evidence, integrity manifests, DICE chains, topology claims, debug-state assertions, encryption posture, etc.

This role makes sure that all the security-relevant system state that needs to be attested to is properly accounted for in a robust and comprehensive manner, and used appropriately for authorization decisions in production.

Key responsibilities

You will be the technical owner of Anthropic's platform trust integration surface, the host-side stack that ingests trust primitives produced by hardware and converts them into production gates for workloads. Concretely:

• Attestation verification pipeline. Consume trusted reference integrity manifests for every component in the TCB. Validate measurements end-to-end, surface drift, and gate workload placement on attestation outcomes.
• DICE chain consumption. Integrate with iRoT-rooted DICE chains where exposed, and define what Anthropic requires of partners where they aren't yet.
• Dynamic root-of-trust and late-launch integration. Working with other security engineers to ensure Anthropic's host software stack securely leverages DRTM primitives, and work with silicon vendors and firmware maintainers to address gaps in relevant technologies.
• Interconnect topology validation. Build the tooling to validate interconnect topology claims for multi-node workloads and catch deviations before they reach production.
• CPU and interconnect encryption posture. Validate that CPU and interconnect encryption are enabled and attestable on a given system; own Anthropic's position on performance tradeoffs and multi-node attestation integration work.
• Debug-disable verification. Define automated mechanisms to prove hardware debug mechanisms are disabled in production.
• Ensure devices/peripherals are appropriately covered. Accelerators are an essential component of AI workloads. We must ensure that platform trust extends to all relevant components, and the channels between them, too.

This is an IC engineering role not a PM role. You will write code, own services, and be accountable for the correctness of Anthropic's platform trust pipeline in production. You'll operate at the interface between Platform Security Engineering and the rest of Anthropic.

Minimum qualifications

• Deep systems software engineering experience with kernel, firmware, or low-level platform code.
• Understanding of hardware as encountered in modern server platforms, and implications of trust relationships within.
• Working knowledge of modern attestation primitives: RoTs, TPMs, DICE, SPDM, measured boot, DRTM across major CPU architectures, reference integrity manifest best practices, remote attestation protocols and design patterns.
• Ability to read vendor documentation critically and identify gaps between what the spec claims and what can actually be relied on in production.
• Strong ownership disposition: comfortable being the one accountable for a capability landing, including when it requires pushing partners.
• Supply-chain attestation work (SPDM, TCG provenance, pre-delivery identity bootstrapping beyond TOFU).
• Familiarity with relevant standards from TCG (TPM, DICE, etc.), IETF (RATS WG, SEAT WG, etc.), DMTF (SPDM, etc.), etc.
• History of shipping security-critical code in production at scale.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level - from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an Senior Software Engineer, you will be working across the entire Brex stack but primarily focusing on frontend to create and maintain new products, features, and building tools to help scale Brex. You will have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You’ll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter. We’re looking for folks with not only an interest in building products and tools but also interested in leading multi-functional projects with lots of moving pieces. In this role, you’ll have the opportunity to drive direct business impact and shape our long-term technical vision with a high-quality bar.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Mondays, Wednesdays, and Thursdays. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products.
• Work side-by-side with user facing teams (Sales, Support) to best understand the needs of our customers. 
• Design and implement experiments to improve our customer’s experiences.
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Tune and polish features to a high-degree of excellence.

Requirements

• 7+ years of professional experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack
• Experience architecting, developing, and testing client-side code end to end
• Experience developing client facing software products 
• Uphold our high engineering standards
• Strong communication and interpersonal skills.

Bonus points

• Experience collaborating with specialists in product, design, and operations
• Recent full-stack development experience
• Experience with developing in React Native for mobile
• Basic experience with design tools
• Great writing skills
• Proactive approach.

Compensation

The expected salary range for this role is $192,000 - $240,000 CAD + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. 

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

We are looking for a Senior Account Executive who is passionate about startups fueling the next wave of AI innovation. 

As a Senior Account Executive at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. We're looking for a driven Account Executive to embed themselves in the Bay Area's AI ecosystem. Your mission is to fuel our growth by partnering with the most promising AI startups, from stealth founders to rapidly scaling teams. In this role, you’ll be one of the main faces of DigitalOcean in the community, forging relationships with builders and technical leaders to win their business. Success means being a true customer advocate, working across teams to ensure the Bay Area's top innovators have the simple, powerful cloud they need to succeed.

What You’ll Do:

• Immerse yourself in the Bay Area AI ecosystem to identify, engage, and win the most promising startups. 
• Own the relationship with high potential AI accounts, acting as the primary point of contact for their business and technical needs.
• Advocate for your customers internally, working with support and engineering to remove technical roadblocks and ensure their success.
• Drive account growth by maintaining meaningful contact and identifying new opportunities.
• Manage and negotiate contract renewals, communicating the value of new features to drive expansion and upsell opportunities.
• Partner with marketing, product, and customer success teams to deliver a best-in-class customer experience.
• Translate customer feedback from the Bay Area AI community into clear insights for our Product and Engineering teams to shape the roadmap.

What You’ll Add to DigitalOcean:

• 5+ years experience as an account executive or account manager for a technical product or experience as a sales or support engineer.
• Cloud Infrastructure and AI experience required.
• You're a self starter, timely, and know how to prioritize tasks efficiently. 
• You have proven experience in contributing to onboarding and customer success pipelines and can speak knowledgeably as to how you'd implement them.
• You're friendly and professional, with excellent written and phone communication skills. You're on top of follow-up, prioritization of tasks, and proactive account management.
• You have relationship management experience and can effectively collect and communicate constructive feedback from customers 
• You will bring or develop a network of AI startups, founders and accelerators.

Compensation Range: 

• $148,800 - $186,000 base / OTE target: $250,000 - $310,000

*This is a remote role

#LI-Remote

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a hybrid role

JR: 2025-7060

#LI-Hybrid 

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $272,448 - $340,560

*This is a remote role

#LI-Remote

#LI-SK1 

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

#LI-Remote

#LI-SK1 

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

#LI-Remote

#LI-SK1 

Scope and mission: 

• Drive the design and operation of Gradient AI platform, focusing on delivering a simple and innovative agent development experience with best of breed scale, performance, and predictability. 
• Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture for our agent development experience including code integration, evaluations, observability, tools, and cross-agent interactions. 
• Drive initiatives to deliver an architecture optimized for scalability, reliability, low-latency, and cost efficiency.
• Manage and evolve our benchmarking system to continuously raise the bar on our experience.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery. 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the AI/ML engineering teams.
• Establish best practices for design, testing, deployments, instrumentation, and performance tuning.  
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to shape AI modernization initiatives via agents. 
• Reliability, Performance & Scaling
• Lead Operations Excellence for our Agent development platform, establish mechanisms and processes that scale to the engineering organization while raising the bar. 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery.
• Drive AI-driven automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Drive development of internal tooling leveraging agents across the company, contributing towards increased efficiency and quality across all aspects of engineering.  
• Serve as subject matter expert on new agent development paradigms and lead implementation of mechanisms to productize them.

Qualifications:

• Domain Expertise: Hands-on experience designing and operating production-grade AI/ML platforms using the latest GenAI and Agent-development technologies.
• Technical Experience: 10+ years in designing and building applications on the cloud with 5+ years experience in AI/ML platforms
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Operational excellence: Expertise in driving operational excellence via automation and best practices.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $227,040 - $283,800

*This is a remote role

#LI-Remote

#LI-SK1 

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $198,000 - $297,000

*This is a remote role

#LI-Remote

#LI-SK1

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $198,000 - $297,000

*This is a remote role

#LI-Remote

#LI-SK1

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $198,000 - $297,000

*This is a hybrid role

JR: 2025-7034

#LI-Hybrid

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $198,000 - $297,000

*This is a remote role

#LI-Remote

#LI-SK1

As a Principal Engineer you'll spearhead the design, development, and operation of scalable, high‑availability, and high-performance database platforms across relational and non-relational managed services (Managed MySQL, Postgres, MongoDB, etc.) and scale-out variants that scale to petabytes of data. Drive architectural vision, technical excellence, and innovation across both backend systems and customer-facing interactions.

Key Responsibilities:

• Architect and Build
• Design and evolve the architecture of large-scale distributed database systems optimized for scalability, reliability, low-latency, and cost efficiency.
• Architect solutions for storage engines, indexing, querying, caching, replication, and high availability, drawing from best practices in both relational and NoSQL paradigms.
• Roll out new services by taking on a hands-on lead role as required to ensure timely delivery 
• Technical Leadership
• Establish and enforce technical standards, coding practices, tooling, and infrastructure guidelines across the database engineering teams.
• Mentor other senior engineers, shaping the team’s culture of architectural rigor and operational excellence.
• Cross-functional Collaboration
• Work with product managers, stakeholders, and business leaders to translate strategic objectives into scalable technical roadmaps.
• Guide customer-facing teams (e.g., consultants, support, sales engineers) to define database solutions and migration strategies aligned with organizational goals
• Reliability, Performance & Scaling
• Lead Operations Excellence for database services, establish mechanisms and processes that scale to the engineering organization while raising the bar 
• Oversee availability, performance tuning, failover strategies, capacity planning, and disaster recovery for database platforms.
• Drive automation (e.g., IaC, CI/CD pipelines, deployments, monitoring) to optimize operations
• Innovation & Future Roadmapping
• Research and integrate advanced capabilities (e.g., AI‑assisted tooling, MCP protocols) to enhance developer workflows and metadata accessibility across database types.

Qualifications:

• Technical Experience: ≥ 12–15 years in distributed systems architecture, database internals (storage, indexing, query optimizers), and cloud infrastructure.
• Domain Expertise: Hands-on experience designing and operating production-grade systems on one or more database services in the Cloud.
• Leadership & Collaboration: Prior experience as a technical visionary in large-scale, mission-critical projects; ability to align technology strategy with business impact.
• Automation Proficiency: Familiarity with infrastructure as code, deployment pipelines, and observability frameworks.
• Communication & Mentoring: Strong written and verbal communication skills with a track record of mentoring senior and junior engineers; translating complex concepts across engineering and business teams.

Compensation Range:

• $247,680 - $371,520

*This is a remote role

#LI-Remote

#LI-SK1

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You’ll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You’ll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter. 

Where you’ll work

This role will be based in our New York. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Collaborate with engineers across the company to build new features and products end-to-end.
• Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.
• Design and implement solutions to improve our customers' banking experiences.
• Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.
• Tune and polish features to a high degree of excellence.

Requirements:

• 4+ years of professional experience designing, developing, and deploying full-stack applications.
• Experience architecting, developing, and testing client-side code end-to-end.
• A high bar for engineering standards and a willingness to learn.
• This role will be based in either New York, San Francisco, or our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Compensation:

The expected salary range for this role is $152,000 - $190,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Engineering at Brex

Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We tackle hard technical problems, own our outcomes, and push for excellence at every level — from architecture to deployment. It’s an environment where engineering is a craft, and builders become leaders.

What you’ll do

As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an interest in building products and tools, and who are comfortable in dealing with lots of moving pieces. You’ll be building customer-facing products that will drive direct business impact and shape our long-term technical vision with a high-quality bar. You'll have the opportunity to learn and push the frontier of providing the best financial software experience to help companies grow. You’ll be encouraged to be metric and data-driven and to think creatively to help Brex scale and get prepared for the new markets we are about to enter. 

Where you’ll work

This role will be based in our San Francisco. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Collaborate with engineers across the company to build new features and products end-to-end.
• Work alongside user-facing teams like Sales and Support to deeply understand our customers' needs.
• Design and implement solutions to improve our customers' banking experiences.
• Own problems end-to-end, from user experience and data models to scalability, operability, and ongoing metrics.
• Tune and polish features to a high degree of excellence.

Requirements:

• 4+ years of professional experience designing, developing, and deploying full-stack applications.
• Experience architecting, developing, and testing client-side code end-to-end.
• A high bar for engineering standards and a willingness to learn.
• This role will be based in either New York, San Francisco, or our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Compensation:

The expected salary range for this role is $152,000 - $190,000 + equity. However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

About the role:

We are looking for experienced software engineers to join our Platform organization. We build the foundational primitives that accelerate product development across Anthropic, and own infrastructure and systems that teams depend on to ship reliably and at scale - either internally or by hundreds of thousands of external global users and companies at all stages. 

You'll independently scope complex, multi-month projects, drive cross-org alignment through ambiguous problem spaces, and make architectural decisions that shape how Anthropic builds and scales its products. You'll partner directly with research to productize cutting-edge capabilities, and will have lasting impact on the platform that hundreds of thousands of companies and internal/external engineers depend on every day.

We have multiple teams that are currently hiring. Team placement occurs after the interview process, taking into account your interests and experience alongside organizational needs. This flexible approach allows us to match talented engineers with the backend product efforts where they'll have the greatest impact and growth potential. 

What you'll do: 

Platform Acceleration: We work on maximizing the developer productivity of product engineers at Anthropic. You'll architect and optimize the critical development infrastructure that powers our AI product development, including dev environments, observability, and CI/CD pipelines. You’ll partner closely with product teams to understand their development workflow and eliminate friction points. Your work will have an extraordinary multiplier effect, enhancing productivity across our entire product organization and accelerating our mission.

Service Infra: we build and maintain the core infrastructure that powers Anthropic's engineering organization, from service mesh and observability systems to deployment pipelines and shared libraries. Our work enables product teams to build and operate reliable services at scale, making us a critical force multiplier across the entire company.

Multicloud: We build and maintain the infrastructure that enables Anthropic to operate across multiple cloud providers. We focus on cloud-agnostic tooling, cross-cloud networking, and multi-region deployments.

Auth & Identity: We build and maintain the critical infrastructure that powers identity and authentication across Anthropic's product suite. We work closely with product teams, security, support, and trust & safety as customers. We create scalable solutions for user authentication, authorization, role-based access control, and single sign-on that form the backbone of our company's identity management operations. We maintain a user-centric approach, building reliable systems that our users and company can depend on as we tackle complex challenges at the intersection of security, scalability, and user experience.

Connectivity: Our mission is to make Claude the most connected AI. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We're also the core contributors to the MCP spec — now an open standard under the Linux Foundation — and maintain the official Python and TypeScript SDKs. You'll work on problems where reliability and enterprise trust are the bar: token refresh at scale, admin controls that let IT govern what agents can do, proxy infrastructure that stays up when partner servers don't. We ship for claude.ai, Claude Code, Cowork, and the API. Relevant experience includes OAuth, API gateways, multi-tenant platforms, building for enterprise, and MCP.

API Distributability: The Claude API today is a rapidly growing platform serving developers and enterprises at scale—but reaching the next tier of enterprise customers requires transforming how and where we deploy it. The Distributability team owns that transformation: making the Claude API a cloud-native, managed product that runs wherever our customers need it, cross-cloud and on Anthropic's own infrastructure, with the enterprise-grade security, compliance, and operational capabilities to support it.

Platform Intelligence: We build the training systems that adapt Claude to specific customer workloads. The core problem is task-specific adaptation: getting the right intelligence, cost, and latency profile for a particular use case, and building toward systems where that adaptation can deepen as the customer's usage grows. We work closely with research on training methods and with agent platform teams on data paths. Relevant experience: ML training infra, production ML pipelines, backend engineering. Finetuning experience is a plus.

You might be a good fit if you:

• Have a minimum of 8 years of practical experience as a backend or platform engineer building scalable distributed systems, ideally operating at tech lead level or equivalent 
• distributed systems, cloud-native products, developer tools, or external developer facing products
• Have strong fundamentals in service-oriented architectures, networking, and systems design, ideally having owned both the technical vision and execution of a foundational platform system end to end 
• Are proficient in Python, Go, Rust, or similar systems languages
• Have experience with cloud infrastructure (GCP, AWS, or Azure), container orchestration (Kubernetes), and/or multi-cloud networking 
• Take full ownership of your work—from design through deployment and operations
• Can navigate ambiguity and make sound technical decisions independently, and have ideally operated in 0 to 1 and more mature team or company settings 
• Take a product-focused approach to platform work and care about building solutions that are robust, scalable, and easy to use
• Care about building systems that other engineers love to use

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

Location Preference: Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team. 

About the Role

Our mandate is to make inference deployment boring and unattended.

Anthropic serves Claude to millions of users across GPUs, TPUs, and Trainium — and every model update must reach production safely, quickly, and without disrupting service. We're building the systems that make inference deployment continuous and unattended.

As a Software Engineer on the Launch Engineering team, you'll design and build the deployment infrastructure that moves inference code from merge to production. This is a resource-constrained optimization problem at its core: validation and deployment consume the same accelerator chips that serve customer traffic — your deploys compete with live user requests for the same hardware. Every model brings different fleet sizes, startup times, and correctness requirements, so the system must adapt continuously. You'll build systems that navigate these constraints — orchestrating validation, scheduling deployments intelligently, and driving down cycle time from merge to production.

If you've built deployment systems at scale and gravitate toward the hardest problems at the intersection of automation and resource management, this team will give you an outsized scope to work on them.

Responsibilities

• Own deployment orchestration that continuously moves validated inference builds into production across GPU, TPU, and Trainium fleets, unattended under normal conditions
• Improve capacity-aware deployment scheduling to maximize deployment throughput against constrained accelerator budgets and variable fleet sizes
• Extend deployment observability — dashboards and tooling that answer "what code is running in production," "where is my commit," and "what validation passed for this deploy"
• Drive down cycle time from code merge to production with pipeline architectures that minimize serial dependencies and maximize parallelism
• Optimize fleet rollout strategies for large-scale deployments across thousands of GPU, TPU, and Trainium chips, minimizing disruption to serving capacity
• Evolve self-service model onboarding so that new models can be added to the continuous deployment pipeline without Launch Engineering involvement
• Partner across the Inference organization with teams owning validation, autoscaling, and model routing to integrate deployment automation with their systems

You May Be a Good Fit If You Have

• 5+ years of experience building deployment, release, or delivery infrastructure at scale
• Strong software engineering skills with experience designing systems that manage complex state machines and multi-stage pipelines
• Experience with deployment systems where resource constraints shape the design — whether that's fleet capacity, network bandwidth, hardware availability, or coordinated rollout windows
• A track record of building automation that measurably improves deployment velocity and reliability
• Proficiency with Kubernetes-based deployments, rolling update mechanics, and container orchestration
• Comfort working across the stack — from backend services and databases to CLI tools and web UIs
• Strong communication skills and the ability to work closely with oncall engineers, model teams, and infrastructure partners

Strong Candidates May Also Have

• Experience with ML inference or training infrastructure deployment, particularly across multiple accelerator types (GPU, TPU, Trainium)
• Background in capacity planning or resource-constrained scheduling (e.g., bin-packing, fleet management, job scheduling with hardware affinity)
• Experience with progressive delivery in systems with long validation cycles: canary/soak testing, blue-green deployments, traffic shifting, automated rollback
• Experience at companies with large-scale release engineering challenges (mobile release trains, monorepo deployments, multi-datacenter rollouts)
• Experience with Python and/or Rust in production systems

You may be a good fit if you:

• Have significant software engineering experience, particularly with distributed systems
• Are results-oriented, with a bias towards flexibility and impact
• Pick up slack, even if it goes outside your job description
• Enjoy pair programming (we love to pair!)
• Want to learn more about machine learning systems and infrastructure
• Thrive in environments where technical excellence directly drives both business results and research breakthroughs
• Care about the societal impacts of your work

Strong candidates may also have experience with:

• High-performance, large-scale distributed systems
• Implementing and deploying machine learning systems at scale
• Load balancing, request routing, or traffic management systems
• LLM inference optimization, batching, and caching strategies
• Kubernetes and cloud infrastructure (AWS, GCP, Azure)
• Python or Rust

Representative projects:

• Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
• Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
• Building production-grade deployment pipelines for releasing new models to millions of users
• Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
• Contributing to new inference features (e.g., structured sampling, prompt caching)
• Supporting inference for new model architectures
• Analyzing observability data to tune performance based on real-world production workloads
• Managing multi-region deployments and geographic routing for global customers

Deadline to apply: None. Applications will be reviewed on a rolling basis. 

About the role

Anthropic exists to ensure the world safely navigates the transition through transformative AI. That work is funded by commercial revenue — and every dollar of it runs through Billing Platform. We build and operate the infrastructure that turns product usage into revenue across everything Anthropic ships: Claude.ai, the Developer Platform, Claude Code, and whatever comes next. The faster we can price it, charge for it, and account for it correctly, the faster Anthropic can fund the mission.

We’re looking for a software engineer to join Billing. Depending on where you land, you might be building the integration contracts product teams plug into so they can launch a paid SKU without becoming billing experts, automating the quote-to-cash lifecycle so enterprise deals don’t bottleneck on manual ops, or building the reconciliation and data foundations that keep every revenue number trustworthy at audit time. This is production-critical infrastructure where correctness is non-negotiable — a rounding error here is a revenue discrepancy somewhere else — and you’ll work closely with Finance, Product, Sales, and Accounting to build systems that scale with the business.

What you’ll do

• Design and ship billing capabilities end to end — pricing primitives, payment flows, contract and entitlement models, revenue data pipelines — depending on the surface area you own.

• Build for correctness first. Billing data is financial data; you’ll develop the instincts for where idempotency, reconciliation, and audit trails matter and where they don’t.

• Own the interfaces. Whether it’s the billing API a product team integrates against or the revenue dataset Finance closes the books on, you’ll design contracts that hide the complexity and hold up under change.

• Make build-vs-buy calls. We lean heavily on third-party billing, payment, and tax platforms, and you’ll decide where to extend them and where to build our own primitives around them.

• Own the payments stack. Authorization rates and retry logic so a good card doesn’t silently decline, processing cost as a real number you drive down, automated dispute response, and fraud controls that stop bad actors without blocking real customers.

• Drive down the manual work. Enterprise contract amendments, pricing config changes, billing support escalations — a lot of it is still human-in-the-loop, and closing that gap is a direct line to scale.

• Operate what you ship. You’ll own SLOs on customer-facing flows, instrument the revenue pipeline so discrepancies surface before month-end close, and be on the hook when it pages.

• Partner across the company. Growth wants promotional mechanics, Sales wants quote flexibility, Finance wants GAAP-clean data, product teams want it yesterday — you’ll help thread that needle.

You may be a good fit if you

• Have 8+ years building backend or platform systems in production, 3+ years leading large scale, complex projects or teams as an engineer or tech lead

• Have a track record of shipping in fast-moving environments where the requirements shift under you and you still land something correct and maintainable.

• Care about correctness and data integrity as first-class design concerns, not afterthoughts — and know how to build systems that are easy to reason about when money is on the line.

• Enjoy cross-functional work. Billing sits between Product, Finance, Sales, and Legal, and a lot of the job is translating between those worlds.

Strong candidates may also have

• Built billing, payments, subscription, or fintech systems before — and know firsthand how a small pricing change ripples through the whole stack.

• Direct experience integrating or extending third-party billing and payment platforms, and opinions on where they fall short.

• Worked on revenue reconciliation, financial reporting pipelines, or systems that had to survive an audit.

• Experience with enterprise commerce — CPQ, quote-to-cash, contract management, or the operational side of B2B billing.

• Owned payments optimization in a self-serve or PLG environment — authorization rates, payment cost, fraud, chargebacks — and know what it takes to move those numbers without breaking the good customers.

About the Role

AIRE (AI Reliability Engineering) partners with teams across Anthropic to improve reliability across our most critical serving paths -- every hop from the SDK through our network, API layers, serving infrastructure, and accelerators and back. We jump into the trenches alongside partner teams to make the systems that deliver Claude more robust and resilient, be it during an incident or collaborating on projects. 

Reliability here is an emergent phenomenon that transcends any single team's boundaries, so someone has to zoom out and look at the whole picture. That's us -- and it means few teams at Anthropic offer this kind of dynamic, cross-cutting exposure to the systems that matter most.

Responsibilities:

• Develop appropriate Service Level Objectives for large language model serving systems, balancing availability and latency with development velocity
• Design and implement monitoring and observability systems across the token path
• Assist in the design and implementation of high-availability serving infrastructure across multiple regions and cloud provider
• Lead incident response for critical AI services, ensuring rapid recovery, thorough incident reviews, and systematic improvements
• Support the reliability of safeguard model serving -- critical for both site reliability and Anthropic's safety commitments.

You may be a good fit if you:

• Have strong distributed systems, infrastructure, or reliability backgrounds -- we're looking for reliability-minded software engineers and SREs
• Are curious and brave -- comfortable jumping into unfamiliar systems during an incident and helping drive resolution even when you don't have deep expertise yet
• Think holistically about how systems compose and where the seams are
• Can build lasting relationships across teams -- our engagement model depends on being welcomed as teammates, not outsiders with opinions
• Care about users and feel ownership over outcomes, even for systems you don't own
• Have excellent communication and collaboration skills -- you'll be partnering across the entire company
• Bring diverse experience -- the team's strength comes from people who've built product stacks, scaled databases, run massive distributed systems, and everything in between.

Strong candidates may also:

• Have been an SRE, Production Engineer, or in similar reliability-focused roles on large scale systems
• Have experience operating large-scale model serving or training infrastructure (>1000 GPUs)
• Have experience with one or more ML hardware accelerators (GPUs, TPUs, Trainium)
• Understand ML-specific networking optimizations like RDMA and InfiniBand
• Have expertise in AI-specific observability tools and frameworks
• Have experience with chaos engineering and systematic resilience testing
• Have contributed to open-source infrastructure or ML tooling.

About Axon 911 

Axon 911 brings together Prepared and Carbyne under Axon. Together, we are creating the only platform that combines modern 911 infrastructure with an AI intelligence layer—helping public safety agencies move faster, make better decisions, and deliver better outcomes in the moments that matter most.

911 is the backbone of public safety, yet the professionals behind it have long been held back by outdated technology. Axon 911 is here to change that. Joining this team means more than taking a job—it means helping shape the future of emergency response and building a safer, more connected world.

Your Impact

We are seeking a highly motivated and experienced Unified Communications Software Integration Engineer to integrate and deploy the world's first Cloud-Based Emergency Real-Time Communication Platform. 

You will be responsible for the interoperability and assimilation of highly available, Elastic, Robust, Multi-Tenant, and Self-Healing RTC and VoIP Signaling Services. The platform will have to comply with the most stringent Security, Authentication and Authorization Standards in order to ensure high SLA and guarantee 5 nines uptime. You will work closely with Carbyne's Operations team and act as the technical liaison between Engineering and the Business for all UC-related activities.

You will get an opportunity to work on cutting-edge technologies and to build a lifesaving emergency platform.

What You’ll Do

• Working as part of a real-time communication team in the Carbyne operation group to deliver a highly available 911 Infrastructure
• Configuring and troubleshooting Carbyne’s Novel Emergency Communication Platform
• Provide clients with customized communication solutions for Carbyne’s unified communications services
• Install, maintain, integrate, and contribute to PBX projects and UC solutions
• Create and maintain technical specs and solution documents
• Overall responsibility for onboarding new customers in alignment with customer requirements, and solution specifications using Carbyne’s best practices
• Providing technical support and training for the Operations team on 911 emergency communications systems
• Gaining a strong understanding of unified communications architecture, networking, and cloud computing
• Interact with a variety of internal stakeholders: Carbyne’s Operations, R&D, Sales, CTO Office, and Product Managers

What You Bring

• Proven experience with VoIP architecture. Hands-on installation experience deploying open-source UC (such as Kamailio, FreeSWITCH, Asterisk, etc.)
• Extensive knowledge and understanding of VoIP deployments and protocols like SIP, SDP, RTP, Web RTC, and their troubleshooting. Understanding of video\audio codecs, packetization, encryption, and transport
• 3+ years of experience in solutions deployment of open-source VoIP solutions
• 3+ years of experience in networking. Proven knowledge and experience in networking, full knowledge of the OSI model and deep understanding of 1-7 Network Layers
• Good understanding of Linux environments, including bash scripting
• Hands-on experience deployment on Private and Public network/security clouds (AWS)

Nice-to-Haves:

• Industry certifications like CCIE, CCNP, CCNA Voice
• Knowledge of Docker and Kubernetes
• Knowledge of AWS infrastructure

Work Location

This is a hybrid role, with an expectation of four days per week in office.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• 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.

Pay Transparency (to be updated)

Axon offers a comprehensive total compensation package, which includes base salary, a generous annual bonus, and company equity.

The starting base annual pay for this role is between $141,000.00 - $188,000.00 excluding commission, bonuses, and more annually, depending on your geographic market. The actual base salary will vary based on several factors, including level, function, training, transferable skills, work experience, business needs, and location—often a combination of these elements.

Our benefits are designed to support you physically, financially, and emotionally—through life’s major milestones and in your everyday moments. To learn more about our benefits, please visit www.axon.com/careers/benefits.

What will I be doing?

• Converting qualified leads generated by the Inside Sales and SDR teams, and taking them to successful closure.
• Generate own leads through outbound prospecting, working in liaison with marketing, leadgen, sdrs and customer success to own and drive this initiative 
• Drive detailed business plans for goal and quota attainment. Strategize and drive each deal to closure.
• Drive thorough discovery of customer’s business priorities and challenges; offer relevant introduction to Zenoti’s products targeted to their individual business needs and challenges
• Be a strategic business partner for new customers, offering consultation and insight into the customer’s market, industry, business model and opportunities regarding Zenoti systems.
• Work with the Technical Sales Engineer to prepare for demos and technical discussions with prospective customers.
• Facilitate handoff of new customers to software implementation teams with detailed notes and specifications from customers. Work with the support and implementation teams to ensure a smooth transition from sales and to manage customer expectations throughout their tenure with Zenoti.
• Follow up with existing customers to ensure they are getting the most out of the software solution and where required engaging other team members to help alleviate any challenges a customer is facing.
• Upsell additional Zenoti products and services to existing customers.
• Collaborate with Inside Sales team on strategy for increasing the sales pipeline. Continually identify opportunities to increase closure rate, improve implementation process handoff

What skills do I need?

• Experience in working with customers virtually. Some travel may be required.
• Experience working with small to mid-level sized companies
• Self-motivated and goal oriented. Desire to work in a competitive environment where one’s growth potential is driven by one’s abilities and attitude.
• Excellent communication and presentation skills, personality, and the ability to build relationships and gain credibility and trust with customers
• Organizational and time management skills
• 4-year Bachelor's Degree in Business or any relevant discipline. MBA preferred.
• 8+ years of strong relevant experience in customer-facing technology sales or inside sales representative roles in SMB, Mid-market, or Enterprise client segments.
• Knowledge of sales processes and adhering to such established processes.
• Account management and 360 problem solving 
• Experience in or an understanding of the spa, salon, fitness, and/or beauty & wellness industry, and/or Fintech SaaS Sales is a BIG PLUS!