We're looking for an experienced seller to join the Tech vertical of our Large Customer Sales team. As a Senior Client Partner, you will be responsible for forming relationships with key brands and agencies while ensuring they meet their business objectives using Reddit's advertising suite.

This role is required to be based in New York City, San Francisco, or Seattle.

Responsibilities:

• Proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with clients to drive year-over-year revenue growth
• Proactively construct upfront and joint business plans with top clients
• Establish mutually beneficial relationships with new clients, educating them on Reddit and the Reddit ads platform
• Leverage agency and client direct relationships to identify new buyers of Reddit advertising products
• Leverage data from internal and external sources to inform client strategies and pitch proposals
• Consistently meet deadlines for all projects, ensuring that clients receive the highest level of customer service
• Act as an internal lead by actively volunteering in team meetings and Reddit special projects
• Own client meetings from agenda to final presentation, instilling confidence and setting all interactions up for success by appropriately setting client expectations, identifying outcomes, and communicating clear next steps
• Act as the primary point of contact for clients to communicate major platform updates, releases, changes, and/or opportunities that will deepen or expand the relationship
• Provide strategic, proactive, and consultative advice to clients in order to uplevel and grow the relationship
• Persistently explore and uncover the needs of your clients, leveraging deep product knowledge to align their goals with new and unique opportunities on the platform
• Collaborate with Account Management and Ad Operations to meet and exceed clients’ marketing goals
• Shape Reddit’s ads product roadmap by aggregating and sharing client feedback and campaign metrics with cross-functional stakeholders
• Provide thought leadership and act as a Reddit evangelist with partners and at industry events
• Share your industry, client, and product expertise by mentoring and training other team members
• Collaborate closely with other Client Partners and Account Managers to craft a cohesive strategy across shared accounts
• Build and leverage deep internal relationships, both within your direct team and cross-functionally, working together to deliver on client and business goals

Required Qualifications: 

• 8-10+ years of experience in digital media, with at least 3-5+ years of experience in sales, Consumer Tech or Retail client experience preferred
• Experience owning partnerships with complex enterprise tech organizations
• Proven experience managing relationships up through C-level executives
• Deep industry expertise in specific verticals, product types, and/or measurement solutions
• Deep existing relationships within the agency and client direct space
• Subject matter expertise in the social media landscape and native advertising
• Experience building and executing long-term account growth strategies
• Demonstrated top-performer achievement against sales targets
• Ability to lead special projects
• BA / BS degree or equivalent work experience

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave  

The Global Strategic Accounts (GSA) team is an essential and strategic group focused on the largest advertisers and agencies in the world to help them drive business growth powered by the best of Reddit.

We’re looking for a seasoned Account Manager to lead Reddit’s most strategic global partnerships (Tech) based in Seattle or LA.  As a Senior Account Manager, you’ll own one of Reddit’s largest global partnerships including agency and client-direct relationships partnering with your CP on driving measurable business outcomes and leading end to end execution of campaigns across various client KPIs. 

This role is required to be based out of Seattle or Los Angeles.

Responsibilities:

• Partner closely with Client Partners to understand each advertiser’s business model, strategic priorities, and performance KPIs, building strategies that align Reddit solutions to measurable outcomes
• Collaborate cross region & activate campaigns at global scale
• Manage and deepen relationships with agencies and direct clients, acting as a trusted advisor and industry expert
• Lead campaign onboarding, execution, pacing, optimizations, and wrap-up analyses
• Analyze campaign performance data to diagnose trends, identify optimization levers, and communicate clear recommendations that improve primary KPI
• Act as the internal lead for account operations: forecasting, revenue delivery, troubleshooting technical issues, and collaborating with Ad Ops to ensure seamless execution
• Educate clients and media agency partners on Reddit’s advertising capabilities, measurement approaches, creative best practices, and platform positioning
• Consult on both upper-funnel and direct response strategies, partnering with Client Partners to craft full-funnel media plans that ladder to client business goals
• Translate client feedback into actionable insights to influence product roadmap, measurement solutions, and performance offering evolution

Required Qualifications:

• 5-7 years of experience in advertising sales and account management
• Strong understanding of customer marketing funnel and traditional marketing ecosystem
• Strong collaborator
• Expertise with performance/direct response campaigns
• Comfortable with problems of diverse scope where analysis of data requires evaluation of identifiable factors
• Understanding of Digital measurement, tracking fundamentals and mobile measurement partners
• Tenacious and entrepreneurial approach to working through product, process, and client challenges
• Experience cultivating strong relationships with external partners
• Exceptional communication and interpersonal skills
• Ability to work in a fast-paced and unstructured work environment
• High attention to detail
• Proficiency in Excel preferred
• BA / BS degree or equivalent work experience

Benefits:

• Comprehensive Healthcare Benefits and Income Replacement Programs
• 401k with Employer Match
• Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
• Family Planning Support
• Gender-Affirming Care
• Mental Health & Coaching Benefits
• Flexible Vacation & Paid Volunteer Time Off
• Generous Paid Parental Leave 

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a Talent Management Lead..

In this role, you will

• Be a key driver in shaping our organizational capabilities and ensuring long-term success. This role is responsible for the design, implementation, and continuous improvement of: Talent Management and Development and Performance. The ideal candidate is a strategic thinker with deep business acumen, data-driven decision-making, and best-practice HR methodologies.

Required Qualifications

1. Talent Management
• Lead the design and administration of company-wide Talent Review and Succession Planning processes to identify, assess, and develop employees for critical roles.
• Develop and manage career pathing frameworks and competency models that support employee growth and organizational agility.
• Oversee the deployment of targeted development programs (e.g., leadership training, mentorship programs) to close identified skill gaps.
• Integrate diversity and inclusion principles into all talent management and succession processes.
2. Performance Programs
• Own and refine the end-to-end Performance Review cycle (objective setting, check-ins, year-end reviews, calibration).
• Ensure the performance review system supports a high-performance culture by emphasizing clear expectations, continuous feedback, and fair, objective evaluation.
• Educate managers and employees on performance management best practices and effective coaching.
• Analyze performance data to identify trends, ensure consistency, and recommend enhancements to drive higher employee engagement and productivity.
• Collaborate with the People Technology team to design and implement system enhancements that streamline the performance review cycle and improve the user experience.

Skills

• Business Athlete Mindset: You are deeply knowledgeable about the business and industry, comfortable navigating and leading others through ambiguity, pivoting quickly to address new challenges, and solving complex problems without a pre-existing playbook.
• Systems Thinker: You recognize the connections across the organization, and take a holistic approach to analyzing situations and developing solutions that are sustainable in the longer term and account for system interdependencies.
• Strategic Acumen: You have an ability to translate long-term business strategy into concrete talent and workforce initiatives.
• Data-Driven: You use data and insights to proactively diagnose issues, inform your recommendations, influence decisions, and measure the impact of your work.
• Execution Excellence: You deliver high quality results through leading projects and initiatives with milestones and delivery schedules in partnership with stakeholders, and develop clear action plans with results-oriented goals for measuring success.
• Resilience and a Growth Mindset: You possess the resilience to thrive in a fast-paced environment and the ability to energize those around you.
• Consulting & Partnering: You have a strong ability to build trust and credibility with business leaders as a subject matter expert, and to work effectively across multiple business areas and teams in a fast-paced environment.
• Innovation: You have a continuous improvement mindset, seeking out and applying best practices and technology solutions in the HR space.
• Change Management: You are skilled in leading organizational change and ensuring successful adoption of new HR processes.

Desirable Qualifications 

• 10+ years of progressive experience in Human Resources, with a strong focus on Talent Management, Leadership Developmentand Performance Management. 
• Proven experience partnering directly with C-suite executives within a rapidly scaling organization. 
• Technology industry experience is strongly preferred.
• Bachelor's degree in Human Resources (or related field) required. Advanced degree preferred.
• Demonstrated success running large-scale, complex HR programs (e.g., annual performance cycle, talent review, succession planning).
• Highly proficient in using Workday and other HR systems/tools tools to extract, analyze, and present data-driven insights to senior leaders.
• Exceptional verbal, written, and presentation skills, with the ability to influence and collaborate effectively across all levels of the organization.
• Strong communication skills (written and verbal) to effectively address all organizational levels.
• Fluent in English.
• Ability to travel within the U.S. approximately 10% of the time.
• This role requires this person to be in the office at least 3 days per week.

This is an in-person position, must work at our on-site office Mondays, Tuesdays, and Thursdays at a minimum.  This position can be located in Mountain View, CA; San Francisco, CA; Pittsburgh, PA; or Seattle, WA.

The base salary range for this position is $162k - $261k per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits. 

Working at Aurora
At Aurora, we bring together extraordinarily talented and experienced people united by the strength of our values. We operate with integrity, set outrageous goals, and build a culture where we win together — all without any jerks.

We believe in-person work increases collaboration, empathy and our ability to lead effectively. As a result, we operate in a hybrid work environment where Aurorans are in office at least 3 days per week.

Our Careers page provides insight into what it is like to work at Aurora, and you can find all the latest updates in our Newsroom.

Our commitment to safety

At the core of everything we do is our commitment to safety. Building best-in-class self-driving technology will take time, and we believe that each employee at Aurora has a role in contributing to safety, every step of the way. Aurora expects commitment to our safety policies from every employee, and seeks candidates who take an active responsibility, can contribute to building an atmosphere of trust, and invest in the organization’s long-term success by prioritizing working safely, no matter what.

Our commitment to inclusion:

Aurora considers candidates without regard to their race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, pregnancy status, parent or caregiver status, ancestry, political affiliation, veteran and/or military status, physical or mental disability, or any other status protected by federal or state law. Aurora considers qualified applicants with criminal histories, consistent with applicable federal, state, and local law. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at careersiteaccommodations@aurora.tech. 

For California applicants, information collected and processed as part of your application and any job applications you choose to submit is subject to Aurora’s California Employment Privacy Policy.

#LI-MS1

#Mid-Senior

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world.

Role Overview

We are seeking a highly skilled Senior Staff Software Engineer with deep technical expertise in Security and a passion for building secure, reliable, and scalable systems. This role focuses on technical leadership, architecture, and hands-on development to ensure the security and resilience of our core platforms.

You will drive the security, quality, and reliability of backend systems while influencing architecture decisions, mentoring engineers, and partnering with product teams on strategic initiatives.

What You Will Do

• Architect and implement secure, scalable backend systems using Java (Spring Boot) and AWS cloud-native services.
• Lead technical design reviews, enforce security best practices, and ensure system reliability and performance.
• Develop and integrate security features such as authentication, authorization, and identity management (SSO, OIDC, RBAC/ABAC, SCIM).
• Design and implement API security patterns and API authorization at scale for microservices and service mesh environments.
• Embed Generative AI capabilities (e.g., embeddings, RAG, LLM APIs) into product workflows securely and responsibly.
• Write and review code, unblock complex technical challenges, and make critical architectural decisions.
• Champion secure SDLC practices, cryptography standards, and compliance requirements.
• Collaborate with cross-functional teams to define technical roadmaps and deliver mission-critical systems at scale.

Minimum Qualifications

• Bachelor’s degree in Computer Science or related technical field.
• 8 years of professional software development and security engineering experience.
• Proven experience designing and developing large-scale distributed systems.
• Strong knowledge of security architecture

Preferred Qualifications

• Recent hands-on experience (last 3–4 years) building secure, distributed systems at scale, with strong exposure to AI/ML development and hosting in production environments.
• Experience with cloud platforms (AWS, Azure, GCP) for identity, ML infrastructure, and secure deployment.
• Familiarity with Generative AI integration and responsible implementation of LLM-based workflows.
• Exposure to data security principles, including encryption, secure data pipelines, and compliance frameworks.
• Ability to influence technical direction and mentor engineers in security best practices.
• Proven track record of delivering mission-critical, scalable systems in production at enterprise scale.
• Expertise in Java, Spring Boot, and AWS architecture/services (EKS, S3, Lambda, RDS, IAM, KMS).
• 7+ years of solid experience with fundamental algorithms, system design, and large distributed systems.
• Deep experience in cryptography and PKI systems, including certificate management and secure key lifecycle
• 7+ years of coding experience, specifically in Java.
• Strong knowledge of security architecture, authentication/authorization, and cryptographic principles.
• Hands-on experience in building large-scale serving and data infrastructure.
• Experience with service-oriented architecture and web application/services development
• Practical experience in utilizing AWS (Amazon Web Services).
• Experience in designing and constructing machine learning-based applications and systems.
• Experience in leading cross-team system design and execution.

Pay & Benefits   

Our compensation reflects the cost of living across several US geographic markets. At Coupang, your base pay is one part of your total compensation. 

The base pay for this position ranges from $174,00/year to $299,000/year. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

General Description of All Benefits  

• Medical/Dental/Vision/Life, AD&D insurance  
• Flexible Spending Accounts (FSA) & Health Savings Account (HSA)
• Long-term/Short-term Disability
• Employee Assistance Program (EAP) program
• 401K Plan with Company Match
• 18-21 days of the Paid Time Off (PTO) a year based on the tenure
• 12 Public Holidays
• Paid Parental leave
• Pre-tax commuter benefits
• MTV - [Free] Electric Car Charging Station 

General Description of Other Compensation

 “Other Compensation” includes, but is not limited to, bonuses, equity, or other forms of compensation that would be offered to the hired applicant in addition to their established salary range or wage scale.  

Recruitment Process

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.

Details to Consider

• This job posting may be closed prior to the stated end date for application if all openings are filled.
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.
• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws.

Privacy Notice

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Coupang is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, or gender (including pregnancy, gender identity, gender expression, sexual orientation, transgender status), national origin, age, disability, medical condition, HIV/AIDS or Hepatitis C status, marital status, military or veteran status, use of a trained dog guide or service animal, political activities, or affiliations, citizenship, or any other characteristic or class protected by the laws or regulations in the locations where we operate. If you need assistance and/or reasonable accommodation in the recruiting process due to a disability, please contact us at usrecruiting@coupang.com.

Job Requisition ID: R0067878

The Role

SoFi is launching a brand-new commercial banking product — and we need a Staff Software Engineer to be its technical backbone.

Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The systems you design will handle real institutional money from day one. The network you help architect — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.

As the Senior Staff Engineer on the Commercial Banking team, you'll be the technical leader the team looks to for the hardest problems — system design, API contracts, payment correctness, performance, and reliability. You'll set the technical bar, make architectural decisions that stick, and write the code that proves them out. This is a hands-on role: you'll be deep in the codebase while also shaping the direction for the engineers around you.

What You'll Do

Architect and Build

• Own the technical architecture for Commercial Banking's core systems — payment orchestration, client onboarding workflows, API Gateway, real-time settlement, and the services that power the client-facing experience.
• Design and implement the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
• Build the client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — with retry, rollback, and idempotency guarantees.
• Design enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures with scoped account access, per-rail permissions, and configurable payment limits.
• Define API contracts that institutional clients will integrate against — getting the abstractions, error models, and versioning right from day one.
• Architect a sandbox environment that realistically simulates every payment rail, enabling clients to build and test their integrations with confidence.

Set the Technical Standard

• Establish system design patterns, coding standards, and engineering best practices for the Commercial Banking codebase.
• Drive technical decisions on data modeling, service boundaries, consistency guarantees, and failure handling across payment workflows where correctness is non-negotiable.
• Own observability strategy — structured logging, distributed tracing, alerting, and dashboards that give the team confidence in production.
• Lead technical design reviews and code reviews. Raise the quality bar and make it stick through example, not just feedback.
• Identify and address technical debt proactively — knowing when to take shortcuts for speed and when to invest in the right long-term solution.

Lead Through Influence

• Be the go-to technical leader on the team — the person engineers come to when they're stuck on a design problem, a performance issue, or a tricky integration.
• Mentor engineers at all levels. Help senior engineers grow toward staff-level thinking; help mid-level engineers develop stronger system design instincts.
• Partner with engineering management to shape the technical roadmap, estimate complexity, and sequence work for maximum impact.
• Drive cross-team technical alignment with other engineering teams at SoFi — working across identity, entitlements, accounts, payments, and core banking systems to ensure clean integration points.
• Represent the team's technical perspective in discussions with Product, Compliance, Risk, and Operations — translating business requirements into sound engineering decisions.

Make It Production-Ready

• Design systems that handle real money with the reliability and correctness that institutional clients demand — every transaction must be accounted for, every failure mode handled.
• Build for scale from day one — systems that work for early clients but are architected to support hundreds without rework.
• Own the technical side of client go-live: integration health checks, performance validation, monitoring readiness, and production cutover.
• Drive incident response and post-mortems. Build a culture where production issues are learning opportunities, not blame events.

What You'll Need

• 7+ years of software engineering experience, with a sustained track record of technical leadership on complex, production-critical systems.
• Deep distributed systems expertise — you can design services end-to-end, reason about consistency and ordering guarantees, and make pragmatic tradeoffs between correctness, availability, and latency.
• Hands-on mastery of JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, Terraform, CI/CD pipelines).
• Strong API design sensibility — you've designed APIs that external consumers depend on, and you understand the long-term cost of getting contracts wrong.
• Experience with stateful workflow systems — you've built or operated long-running, retryable, idempotent workflows in production.
• Proven ability to lead without authority — you influence technical direction through the quality of your ideas, your code, and your ability to bring people along.
• Excellent communication skills — you can write clear technical design documents, explain complex systems to non-technical stakeholders, and make your reasoning legible to the team.
• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).

Nice to Have

• Experience building financial systems — payments, ledger, treasury, banking, or fintech where auditability, correctness, and regulatory compliance are table stakes.
• Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
• Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
• Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
• Familiarity with AML/KYB compliance workflows and transaction monitoring in a regulated banking environment.
• Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.
• Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.
• Experience with event-driven architectures — Kafka, event sourcing, or CQRS patterns in high-throughput systems.

SPS Global is seeking a detail-oriented and service-driven Mailroom Associate to support workplace operations and deliver a high-quality concierge experience. This role plays a key part in ensuring the smooth flow of mail, packages, document services, and office support functions within the business service center.

The ideal candidate is proactive, organized, and customer-focused, with the ability to manage multiple operational tasks while maintaining a professional and service-first approach.

Job Overview

The Mailroom Associate provides exceptional concierge and office services support across multiple operational areas, including mail processing, shipping and receiving, document services, and multifunction device (MFD) support.

This role ensures accurate handling of mail and packages, supports business service center operations, and maintains a consistent 5-star service experience for corporate employees and clients.

Reports To:
Client Services Supervisor, Client Services Manager, or equivalent leadership

What You’ll Do

Mail & Shipping Operations

• Receive inbound mail and packages and input details into chain-of-custody systems
• Sort and distribute mail and packages to company personnel
• Manage outgoing mail and shipping transactions
• Notify employees upon receipt of deliveries
• Serve as point of contact for mail and package inquiries

Document & Business Service Center Support

• Perform scanning, imaging, and light copy/print services
• Operate multifunction devices (MFDs), ensuring functionality and replenishing toner and paper
• Maintain the Business Service Center in a clean and organized manner

Office & Facilities Support

• Assist with meeting room and conference room setups
• Support office moves within assigned facilities
• Perform light maintenance and cleaning duties as needed

Customer Service & Operational Excellence

• Deliver 5-star customer service across all forms of communication
• Build professional relationships with employees and internal teams
• Maintain professionalism and composure when handling sensitive inquiries
• Proactively seek additional work during downtime
• Train backup personnel and provide guidance on procedures and policies
• Identify and respond to additional operational support needs

What We’re Looking For

Required

• High School Diploma or equivalent
• Ability to work flexible hours between 7:00 AM – 7:00 PM (8-hour shifts)
• Strong verbal and written communication skills
• Excellent customer service orientation
• Strong organizational and multitasking skills
• Basic computer proficiency and ability to learn new systems

Preferred

• 2+ years of experience in office services, mailroom, logistics, or customer service roles
• Working knowledge of multifunction devices (MFDs)
• Experience with shipping/receiving procedures and tracking systems

Competencies

• Strong communication skills
• Customer-first mindset with service excellence focus
• Attention to detail and operational accuracy
• Ability to multitask and prioritize effectively
• Independent work capability with strong accountability
• Problem-solving and analytical thinking
• Team-oriented with strong collaboration skills

Physical Requirements

• Ability to lift or move packages up to 40 lbs. or more frequently
• Ability to move materials using a wheeled cart with 60 lb capacity
• Ability to walk, bend, kneel, stand, and sit for extended periods
• Manual dexterity for operating office equipment

Travel:
None

The Problems You'll Solve

As an Equity & Finance Analyst in our rotational ("RAMP") 12 month program, you'll work to:

• Use AI tools, scripting, and CLI-based workflows to complete tasks and automate real financial processes
• Support customers through both deliverable and client-facing work on 409A valuations, tax reporting, fund implementations, and portfolio data collection
• Identify inefficiencies in workflows and turn them into repeatable, scalable systems
• Provide feedback to engineering and product through testing, bug reporting, and process insights
• Become an expert in private markets, AI tools, and Carta's ERP vision

The Team You'll Work With

You'll be joining our auditable reporting services team, which supports multiple products and services including 409A Valuations, Qualified Small Business Stock (QSBS) Attestations, Fund Tax, Venture Capital & Private Equity Implementations, VC Financial Reporting, Portfolio Data Collection, and Capital Call Lines of Credit. This 12-month program rotates you across these teams to build deep expertise in private capital operations while developing systems thinking and automation skills that directly improve how our customers manage complex financial workflows.

About You

• Bachelor's degree in Accounting, Finance, Economics, Mathematics, or related fields (or equivalent experience)
• Strong interest in AI and automation—you understand these as tools to augment thinking, not replace it
• Bias for action—you take ownership and don't wait for perfect instructions
• Knowledge of financial statements and common financial concepts
• Experience managing multiple projects simultaneously and adapting to shifting priorities
• Excellent verbal and written communication skills with diplomacy and poise under pressure
• Curious, competitive mindset—you want to be excellent, not just get a job

Nice to have:

• Exposure to financial concepts through coursework, internships, or personal interest
• Experience with Python, scripting, or basic technical tooling
• Familiarity with financial modeling in Excel
• Experience using AI tools (Claude, Gemini, etc.) thoughtfully in your work

Salary

Carta’s compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions plans. Our expected cash compensation (salary + commission if applicable) range for this role is: 

•  $71,250 - $76,000 in Seattle, WA (Hourly rate of $34.25 - $36.54)

*Annualized salary based on estimated 40 hour hours per week before overtime

Final offers may vary from the amount listed based on geography, candidate experience and expertise, and other factors.

The Role

Join us in revolutionizing the lending landscape. SoFi is seeking enthusiastic Senior Software Engineers who are ready to lead the development of key advancement to the next generation of our financial services platform. 

Data Foundations leads the path on building the central platform-level foundation and infrastructure that powers SoFi's entire data ecosystem. Their scope spans Infrastructure & Core Primitives and Platform Operations — essentially the backbone that enables all data capabilities across the organization. Key qualifications of this role include:

• Leading the technical evolution of one or more key platform subsystems.
• Resolving problems in the platform design and implementation that weren’t clearly anticipated, taking requirements with ambiguity and proposing durable technical solutions.
• Expertly leverage existing solution patterns and understand when to differentiate resulting in well-structured, maintainable code.
• Ability to understand data models, APIs, scaling concerns, and failure modes in order to make effective trade-offs between maintainability and performance.
• Creating stability by writing meaningful tests, considering observability, and leveraging your ability to debug complex issues across multiple system layers.
• The ability to create clear design and operational documentation.
• Contributes to code reviews, is a role model for more junior engineers, and contributes to team efficiency, beyond personal output.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation Lending Platform. This role involves full product lifecycle engagement, from initial concept to deployment. Key responsibilities include implementing new capabilities, ensuring code quality, and delivering highly-available, scalable services. Success requires close technical collaboration with Product, Marketing, Operations, Business, Legal, and Compliance teams. You will be responsible for translating business requirements from these stakeholders into effective technical solutions that provide outstanding value to our members.

What You’ll Need

• Bachelor's or Master's degree in Computer Science, or Software Engineering
• 3+ years as a professional, full-time Software Engineer, or similar relevant work experience.
• Proficient coding in Java, Kotlin, or other similar object-oriented programming language.
• Proficient working with GIT and related CI/CD systems.
• Experience with public cloud compute, storage, and infrastructure.
• Experience with any data warehousing solution like Snowflake and IAC tools to provision platform infrastructure.
• Experience with Kafka, Docker, Kubernetes, and Spring Boot or similar frameworks.
• Deep understanding of relational and document database fundamentals.
• Deep understanding of fundamental distributed systems concepts.

Nice To Have

• Full-Stack experience in both back-end (Kafka, Redis, Docker) and front-end (JavaScript, TypeScript, React).
• Experience with microservices design principles and architecture.
• Experience with workflow orchestration technology (AWS step function, Airflow, Temporal).

We're driven to push boundaries and deliver exceptional products to help our members achieve financial stability. If you have the passion and a commitment to customer success, we want to hear from you.

Available Locations: Austin, Seattle, London, Lisbon, Washington DC, Toronto

About the Department

Emerging Technologies & Incubation (ETI) is where new and bold products are built and released within Cloudflare. Rather than being constrained by the structures which make Cloudflare a massively successful business, we are able to leverage them to deliver entirely new tools and products to our customers. Cloudflare’s edge and network make it possible to solve problems at massive scale and efficiency which would be impossible for almost any other organization.

About the Team

ETI’s Storage Infrastructure team is responsible for the core storage layer that underpins many of ETI's stateful services. Our scope ranges from managing the physical hardware to operating the distributed databases and storage systems built upon it. We run this infrastructure globally across Cloudflare's network, which presents unique and complex engineering puzzles. We navigate efficiently expanding storage capacity, optimizing rebuild operations, and coordinating operations across failure domains to uphold durability. While other service teams focus on product development, our mission is to ensure the underlying storage is reliable, performant, and scalable.

You’ll be joining a highly motivated team that is building the next generation of distributed storage services.

What You’ll Do

In this role, you will help build and operate the next generation of globally distributed storage systems. You will own your code from inception to release, delivering solutions at all layers of the stack. On any given day, you might write a design document for a new provisioning system, model failure domain dependencies across edge locations, benchmark new storage hardware, build standardized observability and runbooks for distributed database clusters, or automate operational toil through purpose-built tooling and intelligent automation. You can expect to interact with a variety of languages and technologies including Rust, Go, Saltstack, and Terraform.

Examples of desirable skills, knowledge, and experience

• Strong programming skills with languages like Rust, Go, or Python
• A solid understanding of distributed systems concepts such as consistency, consensus, data replication, fault tolerance, and partition tolerance
• Experience with distributed databases and storage systems
• Experience with infrastructure configuration tooling and infrastructure as code
• Familiarity with storage fundamentals: block devices, filesystems, SSD characteristics
• Experience building and maintaining high-throughput, low-latency systems
• Understanding of network fundamentals as they relate to distributed storage -- bandwidth constraints, latency tradeoffs, cross-datacenter replication
• Strong written and verbal communication skills and ability to explain technical decisions clearly
• Comfortable operating in fast-paced environments with tight deadlines and evolving priorities

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

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.

About the team

Privacy products’ mission is to build trust that Stripe is a responsible steward of user’s data while managing privacy risk and enabling business growth. The team does this by building industry leading privacy products and foundational privacy infrastructure. These products provide: transparency to our users about Stripe’s data practices, choices and controls to our users about their data, and solutions to our customers to manage their privacy. The infrastructure we build allows Stripe engineers to meet our users’ expectations and regulatory requirements for how Stripe handles and safeguards user data. Stripe’s operating principles focus on putting users first. This means the businesses built on Stripe and consumers who use payments through Stripe need to trust Stripe to process their data. Protecting our user’s data and prioritizing privacy is how we put users first.

What you’ll do

As a privacy products engineer at Stripe, you’ll build products that our customers and consumers use to manage their privacy needs. The customer facing product portfolio includes data access tooling (Data Access Tool) within a privacy portal and a new redaction API. The non-customer facing portfolio includes internal libraries and tooling such as cookie and consent frameworks and data access and deletion pipelines. Your role heavily impacts Stripe's overall privacy posture, and you'll collaborate cross-functionally with product owners, engineering teams, privacy legal, and ops teams. Your work is not only impactful; it is critical to the long-term success of Stripe and our users. 

Responsibilities

• Design, build, and extend external facing privacy products such as the data access tool and privacy portal
• Build API products for customers to help them manage their privacy requirements
• Build internal tools for other Stripe teams to help manage their privacy requirements
• Build and extend our data access and deletion pipelines
• Collaborate with our users and on cross-functional teams to extend our privacy systems

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

• 6+ years of professional hands-on software development experience
• Empathy, strong communication skills and a deep respect for the power of collaboration
• Able to work well individually, cross-team, and cross-functionally
• The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership
• Excellent problem-solving skills and attention to detail
• High standards for code quality and a constructive attitude to help others raise the bar

Preferred qualifications

• Experience with privacy regulations (GDPR, CCPA, etc.) and implementing technical solutions to address them
• Experience with complex data pipelines over large datasets
• Experience designing and building user-facing privacy tools
• Experience with Ruby or Java in production environments

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.

About the team

Stripe powers businesses all over the world. We process payments, run marketplaces, detect fraud, help entrepreneurs start a business from anywhere in the world, build world-class developer-friendly APIs, and more. Nearly every system we operate interacts with sensitive financial or personal data — making security a top priority for Stripe.

Stripe will succeed at our mission of increasing the GDP of the internet only if we prove ourselves worthy of our users’ trust. As an engineer on the Security team, you will design and develop frameworks, systems, and solutions to ensure the security of Stripe’s engineering infrastructure and, most importantly, privacy of our users’ data.

The Cloud Security team accelerates Stripe’s business priorities by building core security controls and services that empower teams to build quickly and securely on top of a well-governed cloud platform and partnering with infrastructure teams to advance select critical business priorities using novel infrastructure or integrations as that platform expands.

What will you do?

• Design, build, and operate the core security infrastructure used by all of Stripe’s engineering teams in close collaboration with other stakeholders and our users.
• Uphold our high engineering standards and bring consistency to the many codebases and processes you will encounter
• Contribute to team learning by improving engineering standards, tooling, and processes
• Design and build durable solutions that will advance Stripe’s security beyond the state of the art.
• Help expand Stripe’s cloud footprint on top of secure, paved roads and guardrails
• Optimize for security controls that have delightful user experiences
• Partner closely with infrastructure and engineering teams building integrations with our cloud infrastructure or adopting new cloud managed services
• Make impactful decisions about systems and security — their edge cases, failure modes, and life cycles
• Use data to determine appropriate baselines against which to measure security
• Define infrastructure that reliably feeds signals to threat teams
• Evaluate and prototype new security tools and practices

You may work on

• Designing and implementing controls that support security invariants and enforce our security principles while providing a surprisingly great user experience
• Providing a migration path for newly acquired companies onto the Stripe Secure Platform, embedding with their engineers and biasing for action
• CI tooling for platform-related configuration: IAM roles, SCPs, and associated components
• Guardrails and security controls for both commonly used and newer cloud technologies
• Expanding our cloud identity infrastructure to provide paved paths for AI and agentic access
• Automation tooling for continually driving down permissions and access across our cloud services

Minimum requirements

• Empathy, strong communication skills and a deep respect for the power of collaboration
• A learning mindset, regardless of level or experience
• The ability to drive clear next steps when encountering ambiguous spaces without clear lines of ownership
• High standards for code quality and a constructive attitude to help others raise the bar
• Software engineering experience in a high-stakes production environment
• A knack for considering how systems can fail and how to fix them
• An ability to think creatively and holistically about reducing risk in a complex environment
• Experience with security on one or more of AWS, Azure, or GCP

Preferred qualifications

• Experience conducting threat modeling of software or infrastructure in cloud native environments
• Experience with Linux systems, Kubernetes, and/or container-based platforms
• Prior usage of security monitoring tools (e.g., CSPM, CNAAP)
• Experience in a multi-cloud, or complex, cloud environment
• A knack for considering how systems can fail and how to fix them 
• An ability to think creatively and holistically about reducing risk in a complex environment

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.

About the team

As Commercial Counsel primarily supporting Stripe’s Stablecoin & Crypto team, you will lead complex commercial and contractual negotiations, advise on product launches, and help scale Stripe’s legal and operational infrastructure. You will work closely with Sales, Product Legal, Partnerships, Risk, Tax, Operations, and external counsel to enable safe, compliant, and commercially sound growth of Stripe’s crypto, stablecoin, and wallet offerings.

We are committed to building an inclusive work environment where all Stripes feel welcomed as their authentic selves—inclusive of all genders, sexual orientations, ethnicities, races, education, ages, and other personal characteristics. We work on broadening our internal diversity because we want to be culturally equipped to build products and solutions for our diverse user base.

What you’ll do

Responsibilities

• Support the Sales team, with particular focus on Stripe’s Stablecoin & Crypto team, leading negotiations and advising on a wide range of commercial and legal issues
• Work closely with Product Legal to bring new products and features to market, including drafting service terms and providing contractual, commercial, and user-experience advice for launches
• Be an integral part of the build out of Stripe’s commercial legal infrastructure to enable scalable, efficient operations in line with Stripe’s growth. This includes advising on the contractual integration of services provided by Stripe’s cryptocurrency, stablecoin, and wallet infrastructure acquisitions (including Bridge and Privy), drafting and maintaining agreements and playbooks, and leading or contributing to projects that improve internal processes and operational efficiencies, including by leveraging AI tooling
• Partner with teams across Stripe, including Sales, Partnerships, Operations, Product, Tax, and Risk groups, to align legal solutions with business priorities
• Serve as a proactive and strategic business partner to senior managers and act as a trusted advisor on commercial strategy and risk
• Develop and deliver training, playbooks, and other resources to help the Sales team sell our products confidently and compliantly
• Act as a point of escalation for outside counsel and manage outside counsel relationships when matters require external expertise

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

• Intellectually curious and a creative problem solver: you relish learning new products and finding creative solutions to complex and evolving legal and commercial problems
• Exceptional drafting skills, with experience in creating services terms or SaaS agreements in addition to deal negotiation drafting
• A self-starter with a bias for action: you are proactive and take ownership to move matters forward
• A clear and concise communicator (written and verbal): you can distill key risks and explain nuanced issues in plain, simple terms for commercial and technical stakeholders
• A natural collaborator: you can guide cross-functional teams toward practical, win-win outcomes
• Familiar with the legal issues and commercial risks arising in connection with hosted data and technology services
• Passionate about technology and able to understand complex business models and product use cases quickly
• A team player willing to do what it takes to contribute to collective success
• Qualified with good standing membership in at least one US state bar with a JD or foreign equivalent
• 6+ years of relevant experience in-house or in a technology practice group at a top law firm

Preferred qualifications

• Direct experience advising on, drafting service terms for, and negotiating transactions involving cryptocurrency, stablecoin, or traditional money-movement products, particularly on a global basis
• Experience in payments or fintech and familiarity with related regulatory frameworks
• Working knowledge of LLM tools and experience in improving legal processes with AI technology
• Prior in-house experience advising high-growth technology companies
• Working knowledge of data protection and privacy regimes such as CCPA, GDPR, and HIPAA

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.

About the team

The Stripe Assistant team is transforming how users interact with Stripe by building an intelligent and proactive assistant that not only answers users’ queries but efficiently resolves issues and provides valuable business insights. We leverage LLMs and agentic systems to elevate the user experience across Stripe—from the dashboard to support surfaces—and we enable other teams to build and integrate their AI agents on our platform. We’re evolving from a helpful support tool to a trusted pilot that anticipates, optimizes, and executes on behalf of our users.

What you’ll do

As a Senior Machine Learning Engineer on the Stripe Assistant team, you’ll own the end-to-end ML and agent architecture that makes Stripe Assistant safe, reliable, and deeply useful. You’ll set the strategy for how the Assistant executes high-trust actions, delivers accurate analytical answers across Stripe and the broader web, orchestrates capabilities across many tools and agents, and grounds responses in authoritative Stripe and user data—so users can resolve issues quickly and confidently.

You’ll drive conversation continuity and personalization across surfaces, evolve the Assistant into a proactive partner that anticipates user needs, and deepen its presence in the dashboard to streamline critical workflows. You’ll establish rigorous evaluation and SLOs and deliver step‑change improvements in quality, latency, cost, and availability—paving the way for configurable levels of autonomy and, ultimately, a dependable operating layer over a merchant’s Stripe account.

Responsibilities

Our team operates fluidly and here are some problems you may tackle:

• Establish trustworthy, human-in-the-loop execution for high-trust “write” actions—prioritizing user control, transparency, accountability, and auditability so customers can delegate with confidence.
• Define and evolve the Assistant’s capability and governance model across hundreds of tools and agents, balancing power, permissions, and consistency at scale.
• Raise answer quality and usefulness by grounding in authoritative Stripe knowledge and live user data, building cross-surface memory and personalization, and making the Assistant proactive and present in the dashboard.
• Explore and apply optimal machine learning methods to improve Stripe Assistant’s overall performance, including but not limited to fine-tuning LLMs with RLHF, synthetic data generation, optimizing RAG pipelines via domain‑specific embedding and retriever fine‑tuning, and automatic prompt tuning, etc.
• Make quality and reliability a product: set and meet SLOs, build rigorous evaluation and benchmarking loops, and drive sustained improvements in latency, cost, and availability.
• Lead as a tech lead: mentor and grow engineers, uphold high bars for code quality, security, observability, and operational rigor, and align cross‑functionally to ship safely and fast.

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

• 5+ years in AI/ML and backend engineering.
• Applied LLM experience: RAG/embeddings, tool use/function calling, agentic planning/orchestration, fine-tuning, code generation, evaluations, etc.
• Proficient in Python (Ruby is a plus); strong distributed systems fundamentals.
• Experience working closely with product management, design, other engineers, and other cross-functional partners.

Preferred qualifications

• Experience operating ML systems at global scale with stringent SLOs—balancing reliability, latency, and cost—with privacy, security, and compliance by design.
• Experience building products where AI/ML is core; as well as balancing short-term product priorities with long-term AI/ML improvements.
• Track record building ML platforms, especially those that enable multiple teams to collaborate together.
• Strong technical leadership and communication: mentoring and elevating engineers, elevating AI/ML awareness and posture within organizations, setting architectural direction, and driving alignment in ambiguity.

Join us to build a trustworthy, proactive AI operating layer for every Stripe merchant—advancing safety, reliability, and insight at global scale. If you’re ready to help take Stripe Assistant from copilot to full autopilot and shape how businesses connect with Stripe, we’d love to hear from you.

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.

About the team

The Marketing Operations team is responsible for the systems, processes, and data infrastructure that power Stripe's global marketing engine. We partner closely with Growth, Demand Generation, Regional Marketing, Lifecycle, Sales Development, and Marketing Technology teams to ensure campaigns are executed with precision, prospect data is accurate and actionable, and our marketing technology stack operates at scale.

We are systems thinkers and operational leaders focused on improving the workflows, tooling, data quality, and processes that enable marketing and sales teams to move faster and more effectively. Our work spans campaign operations, marketing automation, prospect data management, and cross-functional program delivery.

What you'll do

We are looking for a Marketing Operations Program Manager to own and drive critical operational programs across campaign execution, prospect data management, and marketing process improvement. This role sits at the intersection of marketing technology, data operations, and program management — and requires someone who can move fluidly between strategic planning and hands-on execution.

You will serve as a process owner for key marketing operations workstreams, partnering with stakeholders across marketing, sales, and engineering to deliver scalable solutions that improve efficiency, data quality, and pipeline impact.

Responsibilities

Embed within the regional marketing team to deeply understand and represent market nuances, and be the primary representative for Marketing Operations initiatives

• Serve as the process owner for campaign execution workflows across email, landing pages, and paid media, supporting Growth, Lifecycle, and Global Campaigns marketing teams
• Consult on best practices in Marketo, with a focus on automation, scalability, and operational design; design complex nurture and trigger campaigns and standardize them for broader use
• Lead programs to address recurring operational challenges; define objectives, success metrics, and build repeatable processes that scale
• Serve as a technical bridge between regional marketing, product, and engineering teams to scope business requirements, coordinate discovery, and translate operational needs into product requirements for internal tooling
• Drive regional performance transparency by analyzing pipeline health and marketing database trends; proactively identify and unblock operational friction through collaboration with cross-functional teams
• Accelerate review cycles, pilots, and feedback collection during program execution; summarize required changes, identify launch-blocking issues, and escalate risks as needed
• Drive ongoing improvements in marketing operations through process innovation, automation, and the adoption of AI-powered tools to increase productivity and transform workflows
• Maintain scalable documentation and support coordination with offshore production teams and cross-functional partners across time zones

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

• 6+ years of experience in B2B marketing operations, campaign management, or a related program management role within a high-growth technology environment
• 3+ years of experience working day-to-day with marketing automation platforms, CRM platforms, prospect data, and lead management
• 3+ years of experience in end-to-end program management of cross-functional marketing, sales, and engineering initiatives
• Experience building AI agents, including examples of agents you have deployed and examples of ways you are using AI on a daily basis beyond chat
• 3+ years of experience doing your own analysis using queries, dashboards, and AI and partnering with analysts and data scientists for more complex analytics needs
• 3+ years of experience defining your own scope and goals and collaborating with a distributed, global team to deliver on them
• Excellent written and verbal communication skills, including the ability to convey complex operational concepts to diverse stakeholders across marketing, sales, and engineering

Preferred qualifications

• Experience managing prospect or marketing database programs, including data enrichment, hygiene, and growth using first-party and third-party data sources
• 3+ years of experience with Salesforce, including lead and contact management, campaign attribution, and marketing-to-sales data flows
• 3+ years of experience with Marketo audience and campaign design and production
• Experience selecting and managing third-party data providers for B2B contact enrichment and prospecting
• Experience implementing AI tools to improve marketing operations workflows and productivity
• Experience working with global teams on a day-to-day basis
• Knowledge of data privacy and compliance frameworks as they relate to prospect data acquisition and marketing database management
• Experience in the financial services, payments, or B2B software industries

The Opportunity

We're looking for a Senior Engineering Manager to lead and scale Grow Therapy's iOS engineering team. You'll own the technical vision, people strategy, and execution for our mobile platform — building consumer-grade experiences that help millions of clients access mental healthcare, and thousands of providers manage thriving practices.

As a Senior Engineering Manager within our engineering leadership team, you'll build and develop a high-performance iOS team, drive the technical strategy for our mobile platform, and partner closely with Product, Design, and cross-functional stakeholders to shape what gets built. This role sits at the intersection of mobile craft, product thinking, and engineering leadership. You'll bring clarity to ambiguity, raise the bar for iOS quality, and create an environment where engineers do their best work.

This is a rare opportunity to define the mobile experience for the future of mental healthcare — building the kind of polished, intuitive app that makes care accessible at a national scale.

What You'll Be Doing

• Define and own the long-term technical vision and strategy for the iOS platform, ensuring our mobile experience is on par with the best consumer apps (Airbnb, Uber, Duolingo)
• Lead, mentor, and grow a team of 8 - 9 iOS engineers — raising the bar for craft, code quality, performance, and mobile UX
• Partner with Product and Design leadership to shape the mobile roadmap, ensuring engineering influences direction and doesn't just execute
• Drive high-quality, high-velocity shipping with strong operational frameworks for planning, prioritization, and delivery excellence
• Build scalable mobile architecture — owning decisions around app performance, offline capabilities, release management, CI/CD, and platform tooling
• Use data to guide decisions, instrument systems, measure impact, and continuously optimize the iOS experience
• Execute on performance management — coach engineers on day-to-day challenges and long-term career development, maintain standards of excellence, and recognize outperformance
• Foster a welcoming, collaborative, high-trust team culture with low non-regrettable attrition, even in a remote-first environment
• Contribute to the broader engineering organization by collaborating with peer Senior EMs and leaders on org-wide initiatives and engineering culture

You'll Be a Good Fit If

• You have 6+ years of professional software engineering experience, including 4+ years leading engineering teams and at least 2+ years managing iOS or mobile-focused teams
• You have strong iOS technical depth — you understand Swift, UIKit/SwiftUI, mobile architecture patterns, and can engage deeply with your team on technical decisions
• You have a track record of shipping polished, high-quality mobile experiences at scale in a consumer or marketplace environment
• You bring a product engineering mindset — you deeply understand user needs and translate them into delightful, high-performance mobile experiences
• You've scaled teams through rapid growth — you know how to hire, onboard, and develop engineers while maintaining quality and velocity
• You have exceptional communication and cross-functional leadership skills, including the ability to influence non-technical stakeholders
• You operate with a founder's mindset — ownership, speed, scrappiness, resilience, and a bias toward action
• You are passionate about building high-performance teams and developing engineers into future leaders

Role Details:

• Employment Type: Full Time, Exempt
• Base Compensation: $225,000–$300,000 USD Annually.

Work Arrangement: Hybrid, with required in-office presence 3 days per week at our San Francisco, New York, or Seattle office. This role also includes travel 2–3 times per year for company and department offsites.

Enjoy the road while getting paid—apply today for our Courier and Driver Floating position in Seattle, Washington, and turn your love for driving into a rewarding career.

Schedule: Must be flexible to work between 7:00 AM and 6:00 PM for a full-time 8-hour shift, with paid overtime opportunities available.

What you will be doing:

• Deliver mail and parcels across campus while enjoying the road and ensuring timely, accurate service. 

• Provide 5-star customer service and build strong professional relationships with employees and teams. 

• Maintain accurate delivery logs, follow chain-of-custody procedures, and complete paperwork with precision. 

• Operate and maintain company vehicles safely, following all state laws and company safety standards. 

• Support daily operations by responding to client requests, assisting teams, and stepping in where coverage is needed.

What we need from you:

• High school diploma (or equivalent) with 2+ years of related work experience preferred. 

• Valid state driver’s license with a clean driving record and ability to work assigned hours. 

• Strong communication, customer service, and organizational skills, with the ability to multitask and work independently. 

• Comfortable using MS Office, computer-based systems, and MFD/office equipment. 

• Basic vehicle maintenance knowledge, including routine checks such as tire changes, fuel, battery, lights, and general upkeep.

Physical Demands:

• Approximately 50% of the time this position requires the below physical demands.

• Fine and/or gross motor skills, including the ability to grasp, lift and/or carry or otherwise move packages on a standard wheeled cart with a load capacity of 60 lbs.
• Ability to walk, bend, kneel, stand, and/or sit for an extended period of time.
• Manual dexterity required for operating office machinery (phone, copy machines, binding equipment, etc.).
• Ability to lift or move 40 lbs. or greater frequently.
• Physical and mental ability to operate a standard company motor vehicle.

Travel: Local travel required.

Other Duties:

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

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

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Platform Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and we need someone who makes our security tools actually work, not just deployed, but deeply configured, continuously tuned, and fully leveraged. This role is for the practitioner who has spent their career living inside security platforms: the person who knows their EDR better than the vendor's own support team, who can write a SIEM query from memory, and who instinctively knows when an alert is misfiring and exactly why.

This is not a software engineering role. It's a role for an elite security operator — someone with the instincts of a seasoned SOC analyst and the technical depth to own the platforms that power detection, response, and protection at enterprise scale. If you find deep satisfaction in mastering a tool, closing a coverage gap, or hunting down a threat that nobody else noticed, this role was written for you.

In this role you will

• Own the operational health, configuration, and continuous improvement of Aurora's enterprise security platform stack — including EDR/XDR, MDM, SIEM, DLP, IAM/IGA, DNS security, Email security, and PKI — ensuring each tool is tuned, policy-complete, and delivering reliable signal.
• Develop and refine detection rules, correlation logic, and alert policies, reducing noise while ensuring Aurora maintains high-fidelity coverage against real threats.
• Conduct proactive threat hunting across Aurora's security telemetry — forming hypotheses, querying logs, and investigating anomalies before they surface as incidents.
• Serve as the deepest internal expert on Aurora's enterprise security tooling, acting as the escalation point for complex platform issues, misconfigurations, and detection failures.
• Participate in the team's on-call rotation, leading deep-dive investigations into security alerts and incidents and driving triage, containment, and root cause analysis.
• Continuously audit and validate that existing security controls are configured to actually do what they're supposed to do — not just deployed and forgotten.
• Maintain operational runbooks, detection documentation, and platform configuration records, ensuring the team can operate consistently and scale institutional knowledge.

Required qualifications

• 12+ years of hands-on experience in enterprise security operations, security platform administration, or a senior SOC engineering role — with a career built on deep operational ownership of security tooling rather than software development.
• Expert-level proficiency administering and operating at least two enterprise security platforms (e.g., CrowdStrike, SentinelOne, Splunk, Panther, Sentinel, Jamf, Kandji/Iru, Puppet, WorkspaceONE, Intune, Zscaler, Okta, Proofpoint, Wiz, osquery), with strong working knowledge across several others.
• Demonstrated ability to tune and optimize security platforms beyond out-of-the-box configurations — writing custom detection logic, adjusting policy sets, and validating control effectiveness.
• Strong log analysis and threat hunting skills: you know how to build a hypothesis, write the query, follow the thread, and know when to escalate.
• Experience conducting thorough incident investigations — triage, containment, root cause analysis, and post-incident review — and communicating findings clearly to technical and non-technical stakeholders.
• Ability to assess security control effectiveness: not just "is this tool deployed" but "is it configured correctly, covering the right scope, and generating actionable signal."
• Comfort working under pressure in ambiguous, fast-moving situations with competing priorities.

Desirable qualifications

• Scripting ability for automation, log parsing, or workflow improvement (Python, Bash, or similar) — you don't need to be a software engineer, but you can write a script when it saves you an hour.
• Deep familiarity with MITRE ATT&CK as an operational tool for detection gap analysis and threat hunting hypothesis development.
• Experience with AWS security telemetry (CloudTrail, GuardDuty, Security Hub) and integrating cloud signals into a corporate SIEM.
• Familiarity with Zero Trust and identity-centric security models as they apply to policy enforcement in IAM and endpoint platforms.
• Platform-specific certifications such as CrowdStrike Certified Falcon Administrator, Splunk Core Certified Power User, or equivalent — or practitioner certifications like GCIH, GCIA, GCFE, or GCFA.

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Join Airtable as a Product Security Engineer and play a pivotal role in shaping the security of our rapidly evolving platform as we expand our AI and LLM-powered offerings. You will join the team responsible for safeguarding the application layer of Airtable’s platform.

You will partner closely with product engineering teams to build paved roads, frameworks, and automated controls that make the secure path the easy path for our engineering teams. You will help influence application security at scale, ensuring our products are secure by design.

What you'll do

• Develop self-service security frameworks and "paved roads" that allow engineering teams to ship secure code by default.
• Focus on automated guardrails for common vulnerabilities, while prioritizing deep-dive design reviews into complex business logic and data isolation issues (for example, multi-tenant isolation and authorization/permission bypasses) that automated tools cannot catch.
• Partner with product and engineering teams to review designs early, contribute to threat modeling for new features and complex initiatives, and provide clear, actionable security guidance.
• Research emerging threats and evolving best practices, specifically regarding AI and LLM safety, and implement controls to secure these workflows.
• Manage and evolve our approach to external penetration testing and bug bounties, driving remediation for findings and treating vulnerability management as an engineering problem.
• Contribute to the long-term roadmaps, metrics, and strategic planning for the security team.
• (Senior/Staff L5+) Lead complex threat modeling sessions for major product launches and define secure coding standards, and actively mentor other engineers to raise the technical security bar across the organization.

Who you are

• 4+ years of experience in product security or application security, with experience shipping production code. Please note this is not an early career position.
• You have a strong background in computer science or a related field, with proficiency in writing clean, maintainable code.
• You have deep familiarity with JavaScript or TypeScript, Node.js, and modern web application frameworks, and can reason about the security implications of systems built on them.
• You have hands-on experience securing LLM integrations and identifying prompt injection or data leakage risks.
• You are proficient in writing and reviewing code and treat security as an engineering problem to be solved with software, not just policies.
• You excel at communicating complex security risks to non-security stakeholders and enjoy collaborating cross-functionally to find solutions that balance security with engineering velocity.
• You are comfortable working in a fast-paced environment, navigating ambiguity, continuously learning about emerging threats and technologies, and contributing to long-term security strategy.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant. 

VEVRAA-Federal Contractor

If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants.

#LI-remote

Your Impact

As a Manager, Solutions Architects, you’ll lead a team focused on delivering technical excellence in solution architecture across Axon’s Real-Time Operations (RTO) offerings. Partnering closely with the Sr. Manager and cross-functional teams, you'll implement and scale high-quality solution design processes while providing strategic support for mission-critical, customer-facing engagements.

You will spend approximately 80% of your time leading the team and managing project delivery across your group, and 20% supporting complex or unique client engagements with technical depth, particularly in emerging or highly integrated deployments. 

Location: Remote. 30% travel required. 
Must be within commutable distance to one of our Hub locations listed below
(Scottsdale AZ, Seattle Washington, Boston MA, Denver CO, Atlanta GA)
Reports to: Sr. Manager, Solutions Architects
Direct Reports: 8-10 Solutions Architects

What You’ll Do

• Lead and develop a team of Solutions Architects focused on law enforcement, campus, and corrections customers.
• Provide technical and project guidance to team members and ensure consistent quality and productivity in solution delivery.
• Coach and mentor team members, fostering a culture of innovation, learning, and accountability.
• Analyze and review IT system architectures to scope and recommend technical solutions.
• Partner with customers and internal stakeholders (sales, account management, product, engineering) to ensure successful project implementation and integration.
• Participate in hiring and onboarding of new Solutions Architects.
• Ensure timely and effective project execution aligned with Axon’s solution architecture standards.
• Maintain responsibility for team performance, resource allocation, and stakeholder satisfaction.
• Champion continuous process improvement in architecture, customer delivery, and team operations.

What You Bring

• Bachelor’s degree or equivalent experience.
• 4–6 years of experience in solution architecture or related technical leadership roles.
• 1–3 years of direct supervisory or team leadership experience.
• Expertise in solution architecture frameworks, cloud technologies, and systems integration.
• Effective communication skills across technical and non-technical audiences, including clients.
• Experience in project management and business process analysis.
• Basic understanding of integration coding methodologies.
• Experience in the public safety sector preferred (e.g., RMS/CAD implementations).
• Must pass a Criminal Justice Information Services (CJIS) background check and maintain CJIS clearance

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

The Yale Labs Manager is responsible for supporting the operational management, member engagement, business development activities, and day-to-day administration of the incubator and innovation program. This position helps execute strategic initiatives that support startup growth, member success, and community engagement while ensuring alignment with organizational goals and operational standards.

The Manager oversees tenant/member relations, onboarding, facility coordination, events, partnerships, communications, and administrative operations for the incubator program. This role also supports budgeting, reporting, contract administration, and policy implementation while exercising sound judgment in daily operations and member support activities.

Key Responsibilities

Program Operations & Administration

• Support the day-to-day operations of the incubator and coworking/laboratory spaces.
• Assist in implementing operational goals, policies, and procedures established by leadership.
• Coordinate operational processes to ensure a high-quality member experience.
• Monitor occupancy, member activity, and operational performance metrics.
• Identify opportunities for operational improvements and communicate recommendations to leadership.
• Support implementation of strategic initiatives.

Member Recruitment, Onboarding & Retention

• Serve as a primary point of contact for prospective and current member companies.
• Support recruitment efforts to attract startup and entrepreneurial tenants to the incubator program.
• Manage the member onboarding process, including communications, documentation, orientation, and expectation-setting.
• Maintain the membership pipeline and assist with outreach initiatives to increase occupancy and engagement.
• Build positive relationships with tenants and support member retention efforts.
• Coordinate member feedback collection through surveys, meetings, and regular communication.

Community Engagement & Partnerships

• Assist with planning and coordinating networking events, workshops, educational programming, and community-building activities.
• Represent the incubator program at regional entrepreneurial and life sciences events as assigned.
• Support relationship-building efforts with startup organizations, accelerators, universities, and industry partners.
• Coordinate with service providers and community partners to support member company needs.

Marketing & Communications

• Assist with marketing and outreach initiatives to increase awareness of the incubator program.
• Support website updates, social media engagement, newsletters, and promotional materials.
• Help coordinate media opportunities, public relations activities, and program communications.
• Maintain consistent messaging and communication standards across member and community outreach activities.

Financial & Contract Administration

• Support budget tracking and administrative financial processes for the program.
• Assist with management of rental agreements, invoicing, payment tracking, and related documentation.
• Maintain records related to contracts, member agreements, and operational reporting.
• Support preparation of quarterly reports, presentations, and operational updates for leadership review.
• Coordinate procedures related to payment follow-up and reporting.

Policy & Program Support

• Assist with implementation and maintenance of program policies and procedures.
• Support compliance with operational standards, member agreements, and facility requirements.
• Conduct research and gather feedback to support continuous improvement initiatives.
• Help document operational workflows and best practices.

Qualifications

• Bachelor’s degree in business administration, life sciences, public administration, entrepreneurship, or related field preferred.
• Experience in program coordination, incubator operations, coworking management, business development, or startup ecosystem support preferred.
• Strong organizational, communication, and relationship-management skills.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Experience with budgeting, contracts, customer service, and administrative operations preferred.
• Knowledge of biotech, life sciences, startup ecosystems, or innovation programs is highly desirable.

Position Characteristics

• Collaborative and service-oriented leadership style.
• Strong operational and project coordination abilities.
• Ability to work independently while supporting executive leadership initiatives.
• Comfortable engaging with entrepreneurs, industry leaders, research organizations, and community stakeholders.

About the opportunity

The Customer Insights & Adoption (CIA) team is hiring a senior architect to lead internal technical enablement across Contentful’s product portfolio and recommended ways of building. You will serve as a deeply technical, highly cross-functional subject matter expert who empowers internal teams, customers, and partners to adopt Contentful with confidence and consistency. You’ll apply your industry experience, consultative leadership, and passion for teaching to build scalable programs and toolkits that drive a shared understanding of what good looks like, inform product innovation, and guide business strategy.

What to expect?

• Own and evolve internal technical enablement on Contentful product features, implementation patterns, and best practices for the Customer Experience organization (e.g. Customer Success Management, Professional Services, Learning Services, Customer Support Engineering) and cross-functional teams (e.g. Sales Engineering, Partnerships)
• Serve as a company-wide Contentful subject matter expert by engaging closely with internal teams to develop prescriptive implementation guidance and synthesize it into workshops, enablement materials, tools, examples and other resources
• Establish a strategic, scalable technical enablement practice that supports continuous education, centralized knowledge sharing, and consistent understanding across teams, customers, and solution partners
• Collaborate with Product, Product Marketing and Demo teams throughout the product development lifecycle to evaluate new features, provide actionable feedback, and influence decisions as a trusted advisor
• Coordinate closely with Professional Services to translate customer implementation insights into impactful enablement content; coordinate with Learning Services and Developer Experience to ensure messaging and guidance are aligned across courses, training, and documentation
• Create, curate, and maintain a library of enablement materials including feature usage guidance, prescriptive patterns, use cases, discovery questions, and architectural recommendations
• Develop and deliver internal workshops and technical training that effectively support both technical and non-technical audiences; model excellent virtual facilitation and learner engagement techniques
• Contribute to and help lead strategic enablement initiatives, such as starter kits, maturity models, trial environments, and other cross-team projects that strengthen our internal, customer, and partner ecosystem
• Support Customer Success Managers and Partner Managers as a technical advisor during select customer and partner engagements, providing clarity on architecture, implementation decisions, and best practice adoption

What do you need to be successful?

• 6+ years of experience in solutions architecture, technical consulting or a similar technical role, ideally in a digital experience platform environment or solution services agency
• Deep familiarity with content management systems, composable architecture, and modern web development patterns (e.g. headless CMS, API-first)
• Practitioner-level code proficiency, including comfort working with modern web frameworks (e.g. React, Next.js), APIs, SDKs, and developer tooling, with the ability to critically evaluate implementation approaches
• Proven ability to translate complex technical concepts into clear, actionable guidance for both technical and non-technical audiences, including in writing, workshops, and live facilitation
• Strong track record of building and scaling technical enablement programs, knowledge bases, or enablement practices in a cross-functional environment
• Experience working closely with Customer Success, Professional Services, Sales Engineering, or Partner teams in a customer-facing or internal advisory capacity
• Excellent consultative and communication skills, with the ability to influence stakeholders and drive alignment across teams
• Demonstrated ability to synthesize customer and field insights into prescriptive patterns, architectural recommendations, and reusable enablement assets
• Comfortable taking ownership of strategic initiatives from ideation through execution
• Experience designing and delivering engaging virtual training and workshops with strong learner engagement techniques
• Collaborative mindset with a passion for teaching, knowledge sharing, and elevating the technical capability of those around you

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

Washington Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Washington if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.

Washington: $163,000- $221,000

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Security Engineer to join our Enterprise Security Engineering team, reporting to the Technical Lead Manager of Security Engineering.

Aurora is scaling its autonomous trucking operations, and the security foundations protecting our employees, devices, internal systems, and data need to scale with us. We're looking for a deeply technical enterprise security engineer who is as comfortable in a code editor as in a security console — you build the systems that make Aurora's security operations possible. This is a role for someone who can architect robust enterprise security solutions, write the code to implement them, and partner across Engineering and IT to make sure security is embedded from the start, not bolted on at the end.

This is not a security operations-only role. It sits squarely in enterprise security engineering, where the work is designing, building, and owning the platforms, integrations, and automation that power Aurora's internal security posture at scale.

In this role you will

• Own the architecture and implementation of Aurora's enterprise security controls — designing the systems and integrations that protect Aurora's endpoints, identities, internal infrastructure, and SaaS environment.
• Design and build Aurora's security telemetry and detection infrastructure, including log pipelines, SIEM integrations, and alerting frameworks — in partnership with the Security Operations Engineer who owns ongoing tuning and rule development.
• Define and enforce enterprise security standards, conducting architecture and design reviews to ensure alignment with Aurora's security posture and risk tolerance.
• Partner with IT, Infrastructure, and Engineering teams to embed security requirements early — shifting left on corporate IT initiatives before they become technical debt.
• Build automation and tooling that extends the capabilities of Aurora's security platforms, reduces manual operational burden, and scales the team's impact.
• Serve as the escalation point for enterprise security incidents requiring engineering-level investigation or remediation, and participate in the team's on-call rotation.
• Translate security strategy into concrete, executable engineering projects with clear milestones and measurable outcomes.

Required qualifications

• 12+ years of hands-on experience in enterprise security engineering or corporate information security — specifically securing employee-facing systems, endpoints, identities, and internal infrastructure (not product or application security).
• Proficiency in at least one programming language, used in a security context — writing production-quality automation, integrations, or internal tooling (the team primarily uses Go; Python is also common).
• Experience architecting and integrating enterprise security platforms — designing API integrations, automating workflows, and building tooling that extends platform capabilities across domains such as EDR/XDR, MDM, IAM/IGA, DLP, SaaS security, cloud security, or PKI.
• Experience designing and building security telemetry pipelines and detection infrastructure — log ingestion, normalization, SIEM integration, and alerting architecture.
• Experience leading cross-functional security engineering projects — defining scope, driving execution, and aligning stakeholders across Engineering and IT.
• Track record of conducting security architecture reviews and translating findings into actionable, risk-prioritized remediation plans.
• Experience evaluating security posture and identifying systemic gaps, with a bias toward building durable solutions rather than one-off fixes.

Desirable qualifications

• Experience with Zero Trust architecture and identity-centric security models (BeyondCorp-style or similar).
• Familiarity with NIST CSF, MITRE ATT&CK, and CIS Benchmarks as engineering inputs — used to inform what to build and how to validate it, not just as compliance checkboxes.
• Hands-on AWS security experience (SCPs, GuardDuty, Security Hub, IAM, etc.) and familiarity with integrating cloud security signals into a corporate security platform.
• Experience with applied cryptography and PKI in a production enterprise environment — certificate lifecycle management, CA design, or secrets management.
• Familiarity with securing AI/ML platforms or applications built on LLMs, RAG pipelines, or MCP-based architectures.
• Security certifications such as CISSP, GCED, GREM, or similar (valued but not required).

The base salary range for this position is $189,000 - $274,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

ABOUT THE JOB 

Anduril’s Talent Strategy, Experience & Enablement team is seeking a TA Onboarding Specialist to own the end-to-end onboarding experience for our Recruiters and Recruiting Coordinators. This is not a generic HR onboarding role — this person will design and execute an onboarding program purpose-built for TA professionals, ensuring every new recruiter and coordinator ramps faster, builds confidence in our tools and processes, and integrates into Anduril’s recruiting culture from day one. 

The right person for this role understands that onboarding a recruiter is fundamentally different from onboarding a software engineer or a finance hire. Recruiters need to learn our ATS, sourcing tools, and CRM. They need to understand our operating principles, interview methodology, and competency framework. They need to know the business lines they support, the hiring managers they’ll partner with, and the technical domains they’ll recruit for. And they need to build credibility with their stakeholders fast — because every week a recruiter is ramping is a week they’re not filling roles. 

You will be the primary point of contact for every new TA hire from offer acceptance through their first 90 days. You’ll partner closely with the Talent Enablement Program Manager on training content, the TA Systems team on tool access and proficiency, and recruiting leadership on business line immersion. If you thrive on building seamless experiences, obsess over the details that make someone feel set up for success, and want to directly impact how fast our recruiting engine scales, this role is for you. 

WHAT YOU’LL DO 

• TA-Specific Onboarding Ownership: Own the end-to-end onboarding experience for all new Recruiters and Recruiting Coordinators — from offer acceptance through 90-day check-in — ensuring a seamless, structured, and confidence-building ramp into their role.
• Recruiter Ramp Program Design: Design and maintain a TA-specific onboarding curriculum that covers ATS/CRM proficiency, sourcing tool training, interview methodology, operating principles and competency framework orientation, business line immersion, and hiring manager relationship-building.
• Role-Specific Onboarding Paths: Build and maintain structured 30/60/90 day onboarding plans for each TA role (Recruiter, Senior Recruiter, Recruiting Coordinator, Sourcer) with clear milestones, proficiency checkpoints, and success criteria.
• Pre-boarding & Day One Readiness: Coordinate pre-boarding logistics: system access, tool provisioning, team introductions, hiring manager connection, and first-week scheduling. Ensure no new hire shows up on day one without everything they need.
• TA Culture & Process Orientation: Conduct engaging TA-specific orientation sessions that go beyond generic company onboarding — instilling a deep understanding of Anduril’s recruiting culture, operating principles (Speed, Autonomy, Scale, Impact), the Behavioral Question Bank, and what “great” looks like in our hiring process.
• New Hire Liaison & Support: Serve as the primary point of contact for new TA hires, providing guidance, answering questions, and proactively identifying when someone is struggling or falling behind on ramp milestones.
• Cross-Functional Partnership: Partner with the Talent Enablement Program Manager to ensure onboarding content stays current and aligned with broader enablement programs. Collaborate with TA Systems on tool training and access. Work with recruiting leadership on business line immersion scheduling.
• Onboarding Materials & Knowledge Base: Develop, refine, and maintain onboarding playbooks, checklists, guides, and resource libraries specific to the TA function. Ensure materials reflect current processes, tools, and best practices.
• Metrics & Continuous Improvement: Track onboarding completion rates, ramp time to first hire, new hire satisfaction scores, and hiring manager confidence in new recruiter readiness. Use data to identify gaps and continuously improve the onboarding experience.
• Feedback Loops & Iteration: Proactively identify friction points in the TA onboarding experience and drive improvements. Gather feedback from new hires, their managers, and their stakeholders to inform iteration. 

WORKS WITH

• Talent Enablement Program Manager (content alignment, training curriculum)
• TA Systems Senior Manager (tool access, ATS/CRM training)
• Recruiting Leadership & Functional Managers (business line immersion, hiring manager intros)
• People Operations (HR onboarding integration, compliance, benefits enrollment)
• New Recruiters & Recruiting Coordinators (primary audience) 

REQUIRED QUALIFICATIONS

• 3+ years of experience in onboarding, people operations, program management, or talent acquisition enablement.
• Direct experience onboarding recruiting or talent acquisition professionals, or strong enough TA domain knowledge to design a credible ramp program for recruiters and coordinators.
• Strong knowledge of onboarding processes, procedures, and best practices — with a bias toward structured, milestone-driven programs over ad-hoc orientation.
• Excellent organizational and project management skills, with the ability to manage multiple new hire cohorts simultaneously without dropping details.
• Exceptional communication and interpersonal abilities, with a customer-service mindset — new hires should feel supported, not processed.
• Strong attention to detail, ensuring accurate and thorough completion of all onboarding tasks, system access, and documentation.
• Proficiency with HRIS, applicant tracking systems (ATS), and recruiting tools — you’ll be teaching new hires to use these, so you need to know them yourself.
• Analytical mindset: ability to track onboarding metrics (ramp time, completion rates, satisfaction scores) and use data to drive improvement.
• Experience working in a fast-paced, high-growth environment where the onboarding program needs to scale with hiring volume.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS 

• Prior experience in a recruiting or talent acquisition role — you’ve lived the ramp yourself and know what new recruiters actually need vs. what onboarding programs typically provide.
• Experience in the defense, aerospace, or a related high-tech industry where cleared talent, mission context, and technical domain knowledge are factors in recruiter ramp.
• Experience designing 30/60/90 day onboarding plans with structured milestones and proficiency checkpoints.
• Background in creating onboarding content: playbooks, quick-reference guides, video walkthroughs, or e-learning modules.
• Ability to work autonomously with discretion and minimal supervision — comfortable owning the full onboarding experience without waiting for direction.
• Prior event coordination experience (orientation sessions, team immersion days, cohort kickoffs). 

Persons in these roles are expected to work from our offices in Seattle. On-site requirements vary based on position and team. If you have questions about on-site work arrangements for this role, please ask your recruiter.

Our base salary range is $175,000 - $225,000, and in addition we have generous bonus plans to provide a competitive compensation package. 

Who You Are:

You are an agile and critical thinker who is energized by creative problem solving and building things. You thrive in ambiguity and working in dynamic environments. You enjoy learning and navigating novel and complex legal issues at the forefront of AI research and development. You are able to listen to a team’s business needs, identify priorities, and reconcile gaps between legal and technical requirements. You build relationships across the organization to maximize business results. You are able to juggle competing demands from many interested and energetic stakeholders.  You love  an aggressive deadline and relish an unexpected twist.

Please submit your application by April 30, 2026 to be considered for this role. We will start the application review process in early May 2026, followed by interviews. 

Who We Are: 

We are an existing legal team of three lawyers and one contracts and procurement manager. We are collegial and collaborative. We like to make up fun project names for our strategic initiatives. We work in a hybrid setting that includes a beautiful new office on Lake Union. We like in-person whiteboard sessions. We all work with a large amount of autonomy. As a team, we are slightly more pro-dog than pro-cat. We are passionate about Ai2’s mission.

Your Next Challenge:

This is a rare and unique opportunity to be fully immersed in truly open and cutting-edge AI research. The essential functions include, but are not limited to the following:

• Support all stages of development for open AI artifacts and technologies, including data curation, model training, release planning, and post-release management.
• Provide direct AI counseling for applications, research demos, scientific agents, and environmental and conservation tools, including diligence, data governance, and bridging legal and technical requirements.
• Review and prepare data licenses, open source licenses, and related documentation.
• Create and improve frameworks for responsible AI development and processes to streamline AI releases.
• Create AI development guides, playbooks, and templates for releasing AI resources and artifacts.
• Exercise sound judgment and provide strategic and practical legal guidance that balances business priorities, nonprofit mission, compliance, and evolving AI policies and regulation.
• Provide support and due diligence across Ai2’s charitable, scientific, and educational activities and ensure that they are conducted within appropriate legal and regulatory frameworks.
• Collaborate and coach others across the organization on areas of expertise to drive success and impact.

What You’ll Need:

Education/Certifications:

• Minimum Degree required: JD
• Licensed to practice law in Washington State

Required:

• 6+ years of technology transactions experience in a law firm or equivalent corporate environment.
• Experience with copyright and IP licensing.
• Experience with data governance and privacy laws like GDPR, CCPA, and/or HIPAA, and other international regulations like EU AI Act.
• Excellent presentation and facilitation skills: polished, concise, catered messages to different audiences.
• Self-starter: Does not need daily directions or close supervision to make decisions.
• Start-up mentality: adaptable, can pivot quickly.
• Skilled in working with ambiguity: comfortable identifying and solving for novel risks.
• Ability to adjust rapidly to new strategies and approaches for building support in a fast-moving environment.
• Ability to work on complex issues where problems are not clearly defined and where fundamental principles do not fully apply.
• Sufficient technical experience to communicate effectively with research and engineering experts.

Preferred:

• Prior experience in AI  or product counseling . 
• Experience and/or interest in project management to establish or improve processes and streamline legal team efforts with existing workflows in the company.

Physical Demands and Work Environment:

The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

• Must be able to remain in a stationary position for long periods of time. 
• The ability to communicate information and ideas so others will understand. Must be able to exchange accurate information in these situations. 
• The ability to observe details at close range.
• Can work under deadlines.

A Little More About Ai2:

Ai2 is a Seattle based non-profit AI research institute founded in 2014 by the late Paul Allen. Our mission is building breakthrough AI to solve the world’s biggest problems. We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.

In addition to Ai2’s core mission, we also aim to contribute to humanity through our treatment of each member of the Ai2 Team. Some highlights are:

• We are a learning organization – because everything Ai2 does is ground-breaking, we are learning every day. Similarly, through weekly Ai2 Academy lectures, a wide variety of world-class AI experts as guest speakers, and our commitment to your personal on-going education, Ai2 is a place where you will have opportunities to continue learning alongside your coworkers. 
• We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age. We particularly encourage applications from women, non-binary individuals, people of color, members of the LGBTQA+ community, and people with disabilities of any kind. 
• We value inclusion - We understand the value that people's individual experiences and perspectives can bring to an organization, and we are building a culture in which all voices are heard, respected and considered.
• We emphasize a healthy work/life balance – we believe our team members are happiest and most productive when their work/life balance is optimized. While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time. We offer generous paid vacation and sick leave as well as family leave.
• We are collaborative and transparent – we consider ourselves a team, all moving with a common purpose. We are quick to cheer our successes, and even quicker to share and jointly problem solve our failures.
• We are in Seattle – and our office is on the water! We have mountains, we have lakes, we have four seasons, we bike to work, we have a vibrant theater scene, and we have so much else. We even have kayaks for you to paddle right outside our front door. We welcome interest from applicants from outside of the United States.
• We are friendly– chances are you will like every one of the 200+ (and growing) people who work here. We do. 

Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. You may view the related Know Your Rights compliance poster and the Pay Transparency Nondiscrimination Provision by clicking on their corresponding links. 

This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact the Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.

We are committed to providing reasonable accommodations to employees and applicants with disabilities to the full extent required by the Americans with Disabilities Act (ADA). If you feel you need a reasonable accommodation pursuant to the ADA, you are encouraged to contact us at recruiting@allenai.org.

Benefits: 

• Team members and their families are covered by medical, dental, vision, and an employee assistance program.
• Team members are able to enroll in our health savings account plan, our healthcare reimbursement arrangement plan, and our health care and dependent care flexible spending account plans.
• Team members are able to enroll in our company’s 401k plan.
• Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
• Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
• Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Note: This job description in no way states or implies that these are the only duties to be performed by the team members(s) of this position. Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an at will relationship.

Spring Health is seeking a Senior DevOps Engineer I to join our Platform team. Reporting to the Engineering Manager and partnering closely with our AI and Infrastructure teams, the Senior DevOps Engineer I will own the evolution of our automation tooling and the reliability of our multi-cloud infrastructure. 

Please note that this is a hybrid role based in Seattle, with an expectation to be in the office 2–3 days per week. Candidates must be based in the Seattle metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. 

What you’ll do

• Contribute to the DevOps team on-call rotation and internal tooling development to ensure platform stability.
• Partner with AI teams to build out scalable infrastructure leveraging team best practices for Infrastructure as Code (IaC).
• Create and iteratively improve automation tooling centered around established team standards for IaC.
• Participate in design consultations for the AI team to architect infrastructure for new services.
• Act as a subject matter expert for infrastructure reliability and deployment patterns.
• Collaborate across Engineering to identify bottlenecks in the developer experience and provide automated solutions.
• Ensure infrastructure built out is production ready according to best practices around telemetry and observability as well as reliability

What success looks like in this role

• Maintain 99.9% infrastructure uptime through the design and construction of highly available and reliable systems.
• Reduce DevOps operational toil by implementing robust tooling and self-correcting automation.
• Increase the self-serviceability of infrastructure, empowering engineering teams to deploy and manage resources independently through automation.
• Standardize IaC patterns across AI initiatives to decrease time-to-market for new models and services.

What you’ll bring

• Expertise in building highly available and reliable systems within AWS.
• Working knowledge of best practices for deploying services using Azure and GCP APIs.
• Proven track record of building custom automation tooling to solve complex infrastructure challenges.
• Deep understanding of infrastructure fundamentals and Infrastructure as Code (IaC) best practices.
• Experience operating in a containerized environment (Kubernetes/EKS) is preferred.
• A proactive approach to security and compliance within cloud environments is a plus.
• Knowledgeable in telemetry and observability best practices

The target base salary range for this position is $159,100 - $191,000 and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. 

Benefits provided by Spring Health:

Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria.

• Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type.
• Employer sponsored 401(k) match of up to 2% for retirement planning
• A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents.
• We offer competitive paid time off policies including vacation, sick leave and company holidays.
• At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents.
• Access to Noom, a weight management program—based in psychology, that’s tailored to your unique needs and goals. 
• Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses.
• Access to Wellhub,  which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription
• Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care
• Up to $1,000 Professional Development Reimbursement a year.
• $200 per year donation matching to support your favorite causes.

The Role

We are looking for a Software Engineer to join our SoFi Money team. As a member of the SoFi Money team, you will help build new systems, maintain the health of our systems, and continually grow your skill set. The ideal candidate is both forward-thinking and hands-on, has a solid sense of ownership and drive for delivery, and is a strong team player. At SoFi, we pride ourselves on the collaboration between Product, Design, and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying, and continual improvement and evolution. 

What You’ll Do

• Build and maintain backend services that support client onboarding, account setup, and payment configuration workflows.
• Develop APIs used by internal teams and external clients, following established design standards and best practices.

• Write clean, maintainable, and well-tested code in a JVM-based stack (Kotlin/Java, Spring Boot).
• Follow established patterns for reliability, scalability, and fault tolerance.
• Participate in code reviews and incorporate feedback to improve code quality.
• Debug and troubleshoot issues in development and production environments with guidance from senior engineers.
   

What You’ll Need

• 1+ years of software engineering experience building backend systems.
• Experience with JVM-based languages (Java or Kotlin) and frameworks like Spring Boot.
• Basic understanding of distributed systems concepts (e.g., APIs, databases, service communication).
• Experience building or consuming APIs.
• Familiarity with cloud platforms (AWS/GCP) and containerized environments (e.g., Kubernetes) is a plus.
• Strong problem-solving skills and attention to detail.
• Good communication skills and willingness to learn from others.
• Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
  
  

Nice to Have

• Exposure to financial systems, payments, or fintech products.
• Familiarity with event-driven systems or messaging platforms (e.g., Kafka).
• Experience working with workflow or orchestration tools.
• Understanding of reliability concepts like retries, idempotency, and fault tolerance.
• Interest in building scalable, high-availability systems.
  
  

The Role

We are seeking a Senior Staff Engineer to join our team. SoFi is building out a new team to develop crypto products and services for our members.  Recent developments made a path for SoFi to begin to re-enter the space and expand on our product offerings with intuitive, secure and fully featured products across crypto Investing, Transfers, Payments, Custody and beyond.  

On our team, you will be in the middle of it all – implementing functionality, architecting our system, squashing bugs, maintaining the health of our code, and continually growing as an engineer. The ideal candidate is both forward-thinking and hands-on, has a strong sense of ownership and drive for delivery, and is a good mentor and co-worker. At SoFi, we pride ourselves on the collaboration between Product, Design and Engineering and so you will be involved in the entire product lifecycle, from ideation through building, deploying and continual improvement and evolution.

At SoFi, you’ll become part of a new kind of finance company whose ambition is to help our members achieve financial independence and reach their goals. We aim to be at the center of our members’ financial lives, and to help every member get their money right. We created student loan refinancing, addressing the biggest financial challenge of a new generation through a modern approach to lending and personal finance. Next we expanded our products and services across loans, wealth management, and insurance. SoFi has achieved significant growth, with ambitious plans ahead, but to continue this growth we need great talent. And that starts with you.

Key responsibilities

• Write production-grade, scalable backend code using Java, Kotlin, Spring Boot, and modern frameworks.
• Debug and resolve complex systems issues in high-scale, real-time services.
• Build high-quality, scalable systems with a focus on performance, security, and reliability in crypto products.
• Shape the technical architecture across SoFi’s crypto stack — wallets, custody, trading, and beyond.
• Drive new ideas and technical strategies that push our crypto offerings forward.
• Raise the bar on engineering through code quality, mentorship, and setting strong technical standards.
• Apply deep knowledge of crypto protocols, smart contracts, and blockchain infrastructure.
• Collaborate across teams to deliver reusable crypto services and integrate with SoFi’s broader platform.
• Mentor engineers and contribute to a culture of technical growth and curiosity.
• Lead discussions, reviews, and decisions across teams and with senior technical leadership.
• Make smart, pragmatic decisions that balance speed and quality.
• Stay curious — constantly learning new tools, protocols, and patterns in the evolving crypto space.
• Ask hard questions, give and take feedback well, and thrive in a collaborative, fast-moving environment.

What you'll need

• 8+ years programming experience, with significant experience in modern day languages and familiarity with AI tools.
• Expert understanding and hands-on experience building and operating large-scale fault-tolerant distributed systems, workflows, databases and mobile/web applications
• Expertise with Java / Spring / Kotlin / PostgreSQL / AWS. Expertise with any modern Java frameworks, REST APIs, and relational databases
• Deep understanding of code release, deployment orchestration / rollout mechanisms, logging, instrumentation, monitoring, and alerting in a microservices environment.
• Experience with public cloud infrastructure
• Excellent verbal and written communication skills and working with stakeholders across disciplines
• Understanding of blockchain fundamentals and distributed ledger technologies
• Familiarity with digital assets across major chains (Bitcoin, Etherium, …)
• Hands-on experience with smart contracts is a plus
• Familiarity with custody, settlement, and clearing of crypto transactions
• Experience with security and best practices for wallet management
• Exposure to crypto trading platforms, market data, and DeFi protocols
• Experience integrating with or building services using crypto infrastructure providers (e.g., Fireblocks, Zero Hash, Anchorage)
• Awareness of Web3 trends, including NFTs, DAOs, and Layer 2 solutions
• Prior work in or collaboration with crypto-native companies or fintechs
• Enthusiasm for the evolving digital asset ecosystem and its potential impact on financial services

Available Locations: Seattle, WA

About the Role

Cloudflare’s Senior Forward Deployed Engineers (FDEs) operate at the intersection of product engineering and customer impact.

As an FDE, you will be embedded within one of Cloudflare’s most strategic global customers, working side-by-side with their engineering teams to build and deploy solutions using Cloudflare’s platform. Unlike traditional Solutions Architects or consultants, you will write production code, shape technical architecture, and directly influence how Cloudflare products are used at massive scale.

You will operate as a technical extension of both organizations - helping the customer ship faster while surfacing real-world product insights back to Cloudflare engineering.

This role is ideal for engineers who want to:

• Stay deeply technical
• Work on real production systems
• Influence product direction
• Build long-term partnerships with world-class engineering teams

Responsibilities

• Deep Technical Embedding: Serve as the dedicated, long-term technical partner within a strategic customer’s engineering organization, operating as a trusted extension of their team.
• Production-Level Engineering: Design, build, and deploy production-ready code and configurations directly into customer infrastructure using the Cloudflare platform.
• Technical Accountability: Own the account's technical success across the entire Cloudflare portfolio. Serve as the primary technical point of contact, with other Cloudflare technical resources taking direction from your technical strategy for the account.
• Operational Integration: Participate in customer engineering rituals, including daily standups, design reviews, and real-time incident response.
• Platform Advocacy & Adoption: Identify opportunities to accelerate the adoption of Cloudflare services, unlocking new capabilities across the customer’s tech stack.
• Platform Breadth & Depth: Deep technical competence in building production applications on a modern stack, combined with the willingness and ability to go deep on all Cloudflare product areas. From Workers to security, networking, and observability.
• Feedback Loop & Product Influence: Surface real-world edge cases and product gaps directly to Cloudflare’s Product and Engineering teams to influence the developer platform roadmap.
• Strategic Relationship Management: Establish and maintain trusted technical relationships with senior leadership (Staff+ engineers, Directors, and VPs).
• On-Site Presence: Maintain a regular on-site presence at customer locations to foster deep collaboration and cultural alignment.

Requirements

• Proven Engineering Pedigree: 7+ years of professional software engineering experience. You are a builder at heart, with a track record of delivering production-grade systems, not just advising on them.
• Production Ownership & Operational Maturity: You have owned mission-critical services with real-world users. You understand the gravity of on-call rotations, the urgency of incident response, and the architectural rigor required to maintain "five nines" uptime.
• Active Practitioner: You are currently in the IDE. You have a "ship-first" mentality and maintain a high velocity, staying current with modern frameworks, languages, and deployment patterns.
• Full-Stack Architectural Depth: Broad technical fluency across the entire stack—from frontend performance and backend logic to database optimization and distributed infrastructure.
• AI-Native Development: You have integrated AI-augmented workflows (e.g., Windsurf, OpenCode) into your daily development cycle to accelerate prototyping and delivery.
• Systems Design & Strategic Thinking: Ability to decompose complex business requirements into scalable, resilient technical architectures. You can visualize the "big picture" without losing sight of the implementation details.
• Cloud Ecosystem Fluency: Deep experience with at least one major cloud provider (AWS, GCP, or Azure), including an understanding of serverless, networking, and security primitives.
• High Agency & Navigating Ambiguity: You are a self-starter who thrives in "zero-to-one" environments. You don't wait for a ticket; you identify the problem and own the solution from end-to-end.
• Executive Presence: Comfortable engaging in high-stakes technical and strategic discussions with VP-level stakeholders, with the ability to translate complex engineering trade-offs into business impact.

Nice to Have

• Direct experience building on Cloudflare Workers, or the broader Cloudflare Developer Platform.
• Previous experience at a fast-paced startup or in a customer-facing engineering role where you operated directly within a partner’s codebase.
• A visible public profile, including open-source contributions, technical blogging, or speaking engagements at industry conferences.

Compensation

Compensation may be adjusted depending on work location.

• For Seattle Area based hires: Estimated annual salary of $185,000 - $254,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave

As a Delivery Manager, you will be responsible for overseeing all new vehicle deliveries, lease-returns, and trade-ins from your facility as well as onsite inventory. You will lead a team of Delivery Associates and Vehicle Operations Specialists ensuring seamless transactions and exceptional service from start to finish. This role is responsible for ensuring state and local compliance, implementation of internal business practices, and accurate completeness of every customer transaction. This is a critical role to ensure customer expectations and timelines are met in order to execute on successful customer delivery operations.   

Team Management and Development:  

• Lead field Delivery team, ensuring seamless transactions and exceptional customer service. 
• Ensure smooth transitions across all stages of the delivery process—financial clearance, documentation handling, and delivery ceremonies—in collaboration with Field Sales, Lucid Financial Services and logistics partners.   
• Ensure highest level of accuracy of every transaction before handing over vehicle.  
• Lead the professional growth of the Delivery team through one-on-one coaching, training, group discussions, role-playing exercises, and other effective coaching methods to achieve superior customer satisfaction. 

Trade-In & Inventory Management: 

• Handle customer trade-ins, titling paperwork, and transferring of non-Lucid trade in vehicles through a 3rd party  
• Managing the intake of trade in vehicle and leveraging sound judgement in confirming the condition of trade-in  
• Partner with Remarketing team and handle Pre-Delivery Inspections on Lucid trade in and upgrades 
• Manage and oversight of the flow and forecasting of Lucid vehicles and requesting of additional inventory 
• Manage quality and condition of vehicle inventory and readiness 

Problem-Solving & Decision-Making:  

• Identify and remove technical, operational, and organizational barriers. Propose solutions using a business-oriented mindset and confidently utilize Salesforce reporting and analytics. 
• Handle and manage any customer escalations that may arise at the time of delivery  

Operational Planning:  

• Manage customer delivery pipeline, ensuring prompt pairing of customers with Delivery Associates 
• Excel in operations and planning sharing performance insights with the team and implementing corrective actions for deviations. 
• Support vehicle deliveries when Delivery Associates if capacity issue arise  
• Assist with daily operations as needed  

Brand Standards:  

• Ensure consistent execution of Lucid’s marketing and visual presentation  
• Responsible for how the customer will experience and interpret the Lucid brand through the delivery experience  
• Ensure every touch point of the delivery process is frictionless and seamless 

Customer Relationship Management:   

• Adapt problem-solving techniques to accommodate diverse customer needs and build strong collaborations with Lucid Financial Services and other internal and external stakeholders. 

Qualifications: 

• 4- 8 years of experience in a leadership role within the automotive, transportation or logistics industry. 
• Bachelor’s degree or equivalent work experience in business, sales, or a related field preferred. High school degree or GED required. 
• Proven ability to lead a team of sales and/or process-focused professionals in achieving targets.  
• Strong problem-solving abilities. Can identify technical, operational, and organizational roadblocks and provide solutions.  
• Business owner mindset with the ability to analyze reports and use our CRM program, Salesforce, with confidence.  
• Experience making data driven decisions and holding team accountable to KPI’s 
• Adept at nurturing, developing, and leading exceptional customer-oriented teams. 
• Strong cross functional collaborative skills, specifically with sales and service teams. 
• Demonstrated experience in fostering an inclusive and collaborative team environment. 
• Willingness to work weekends and extended retail hours, particularly at month or quarter ends. 
• Current Driver's license and ability to obtain a DMV Salesperson License where required. 
• Skilled in Microsoft Office and Salesforce 
• Capable of physical tasks such as twisting, bending, squatting, reaching, and standing for extended periods, with or without reasonable accommodations. 

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As the Tech Lead Manager of the LLM Evals Research team, you will lead a talented team of research scientists and research engineers focused on developing and implementing novel evaluation methodologies, metrics, and benchmarks to assess the capabilities and limitations of our cutting-edge LLMs. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs. 

You will:

• Lead a team of highly effective research scientists and research engineers on LLM evals.
• Conduct research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. 
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
• Remain up-to-date on ongoing research in the team, help work through technical challenges, and be involved in design decisions
• Remain deeply involved in the research community, both understanding trends, and setting them
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience supporting and leading a team of research scientists and research engineers
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

Scale’s ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. The platform has been powering MLEs, researchers, data scientists and operators for fast and automatic training and evaluation of LLM's, as well as evaluation of data quality.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. You will work closely across Scale’s ML teams and researchers to build the foundation platform that supports all our ML research and development. You will be building and optimizing the platform to enable our next generation of LLM training, inference and data curation.

If you are excited about shaping the future AI via fundamental innovations, we would love to hear from you!

You will:

• Build, profile and optimize our training and inference framework
• Collaborate with ML teams to accelerate their research and development and enable them to develop the next generation of models and data curation
• Research and integrate state-of-the-art technologies to optimize our ML system

Ideally you’d have:

• Strong excitement about system optimization
• Experience with multi-node LLM training and inference
• Experience with developing large-scale distributed ML systems
• Strong software engineering skills, proficient in frameworks and tools such as CUDA, Pytorch, transformers, flash attention, etc. 
• Strong written and verbal communication skills and the ability to operate in a cross functional team environment

Nice to haves:

• Demonstrated expertise in post-training methods &/or next generation use cases for large language models including instruction tuning, RLHF, tool use, reasoning, agents, and multimodal, etc.

Scale AI accelerates the development of AI systems by providing the data, infrastructure, and tooling that power the most advanced models in the world. Our teams operate at the intersection of cutting-edge research, large-scale engineering, and real-world deployment, partnering with leading frontier labs, enterprises, and government agencies to push Generative AI into new capabilities and applications.

As AI rapidly evolves from static models to dynamic, agentic systems, Scale is building the foundational research, evaluation methodologies, and agent/RL infrastructure that will define this next era. You’ll join a high-impact research organization driving advances in large-language models, post-training, evaluation, and agentic/RL environments, helping shape how next-generation AI is built, measured, and deployed.

As a Research Scientist Manager, you will lead a world-class team of research scientists and engineers, define the research roadmap, and drive execution from early prototyping to deployment. You’ll thrive in a fast-moving environment, balancing deep technical leadership with people management, vision setting, and delivery.

You will:

• Lead, mentor and grow a team of research scientists and engineers working on GenAI research initiatives (e.g., evaluation, post-training, agents, RL environments).  
• Define and drive a multi-year research roadmap: identify key scientific questions, set milestones, allocate resources, and ensure rigorous execution.
• Collaborate cross-functionally with engineering, product, client-facing teams and external academic or industry partners to translate research into components, insights, and actionable outcomes.
• Communicate compellingly: publish research, present at conferences, engage in open-source contributions, and represent the team externally.
• Drive an inclusive, high-performing culture: help your team through technical challenges, provide growth opportunities, and attract top talent.
• Stay deeply connected to the research community, understanding major trends, and helping set them.
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on research experience (PhD or equivalent preferred) in machine learning, deep learning, generative models, agent/rl systems or related domains.
• A strong track record of research excellence, including publications in top-tier ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience leading or managing research teams. You’re excited to mentor, coach and develop talent.
• Excellent written and verbal communication skills. You are able to articulate research ideas and outcomes to both technical and non-technical stakeholders.

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, fueling the most exciting advancements in AI, including generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re amplifying access to high-quality data to drive progress toward Artificial General Intelligence (AGI). Building on our history of model evaluation with enterprise and government customers, we are expanding our capabilities to set new standards for both public and private evaluations.

About This Role

This role operates at the forefront of AI research and real-world implementation, with a strong focus on reasoning within large language models (LLMs). The ideal candidate will study the data types critical for advancing LLM-based agents, including browser and software engineering (SWE) agents. You will play a key role in shaping Scale’s data strategy by identifying the most effective data sources and methodologies for improving LLM reasoning. Success in this role requires a deep understanding of LLMs, planning algorithms, and novel approaches to agentic reasoning, as well as creativity in tackling challenges related to data generation, model interaction, and evaluation. You will contribute to impactful research on language model reasoning, collaborate with external researchers, and work closely with engineering teams to bring state-of-the-art advancements into scalable, real-world solutions.

Ideally, you’d have:

• Practical experience working with LLMs, with proficiency in frameworks like PyTorch, JAX, or TensorFlow. You should also be skilled at rapidly interpreting research literature and turning new ideas into working prototypes.

• A track record of published research in top ML and NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, CoLLM, etc.).

• At least three years of experience solving complex ML challenges, either in a research setting or product development, particularly in areas related to LLM capabilities and reasoning.

• Strong written and verbal communication skills, along with the ability to work effectively across teams.

Nice to have:

• Hands-on experience fine-tuning open-source LLMs or leading bespoke LLM fine-tuning projects using PyTorch/JAX.

• Research and practical experience in building applications and evaluations related to LLM-based agents, including tool-use, text-to-SQL, browser agents, coding agents, and GUI agents.

• Experience with agent frameworks such as OpenHands, Swarm, LangGraph, or similar.

• Familiarity with advanced agentic reasoning techniques such as STaR and PLANSEARCH.

• Proficiency in cloud-based ML development, with experience in AWS or GCP environments.

Our research interviews are designed to assess candidates' ability to prototype and debug ML models, their depth of understanding in research concepts, and their alignment with our organizational culture. We do not conduct LeetCode-style problem-solving assessments.

Scale works with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. We are looking for Research Scientists and Research Engineers with expertise in LLM post-training (SFT, RLHF, reward modeling). This role will focus on optimizing data curation and eval to enhance LLM capabilities in both text and multimodal modalities.

In this role, you will develop novel methods to improve the alignment and generalization of large-scale generative models. You will collaborate with researchers and engineers to define best practices in data-driven AI development. You will also partner with top foundation model labs to provide both technical and strategic input on the development of the next generation of generative AI models.

You will:

• Research and develop novel post-training techniques, including SFT, RLHF, and reward modeling, to enhance LLM core capabilities in both text and multimodal modalities.
• Design and experiment new approaches to preference optimization.
• Analyze model behavior, identify weaknesses, and propose solutions for bias mitigation and model robustness.
• Publish research findings in top-tier AI conferences.

Ideally you’d have:

• Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or a related field.
• Deep understanding of deep learning, reinforcement learning, and large-scale model fine-tuning.
• Experience with post-training techniques such as RLHF, preference modeling, or instruction tuning.
• Excellent written and verbal communication skills

• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

As the leading data and evaluation partner for frontier AI companies, Scale is dedicated to advancing the evaluation and benchmarking of large language models (LLMs). We are building industry-leading LLM evals, setting new standards for model performance assessment. Our mission is to develop rigorous, scalable, and fair evaluation methodologies to drive the next generation of AI capabilities.

Our Research teams work with the industry’s leading AI labs to provide high quality data and accelerate progress in GenAI research. As a Staff Machine Learning Research Scientist on the LLM Evals team, you will lead the development of novel evaluation methodologies, metrics, and benchmarks to measure the capabilities and limitations of frontier LLMs. You will help define what "good" looks like in generative AI, driving research that informs both our internal roadmap and the broader research community. This role is critical for designing and executing a roadmap that defines best practices in data driven AI development and will accelerate the next generation of generative AI models in partnership with top foundational model labs.

You will:

• Drive research on the effectiveness and limitations of existing LLM evaluation techniques.
• Design and develop novel evaluation benchmarks for large language models, covering areas such as instruction following, factuality, robustness, and fairness. 
• Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
• Collaborate with internal teams and external partners to refine metrics and create standardized evaluation protocols.
• Implement scalable and reproducible evaluation pipelines using modern ML frameworks.
• Publish research findings in top-tier AI conferences and contribute to open-source benchmarking initiatives.
• Mentor and guide research scientists and engineers, providing technical leadership across cross-functional projects.
• Stay deeply engaged with the ML research community, tracking emerging work and contributing to the advancement of LLM evaluation science.
• Thrive in a high-energy, fast-paced startup environment and are ready to dedicate the time and effort needed to drive impactful results.

Ideally you'd have:

• 5+ years of hands-on experience in large language model, NLP, and Transformer modeling, in the setting of both research and engineering development
• Experience and track of recording in landing major research impacts in a fast-paced environment
• Experience tech leading a team of research scientists and research engineers
• Excellent written and verbal communication skills
• Published research in areas of machine learning at major conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, etc.) and/or journals
• Previous experience in a customer facing role.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).

The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you’ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you’ll use to improve your product’s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!

You will:

• Own, plan, and optimize the AI behind our Enterprise customer’s deepest technical problems
• Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
• Have experience gathering business requirements and translating them into technical solutions 
• Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
• Push production code in multiple development environments, writing and debugging code directly in both our customer’s and Scale’s codebases.
• Be able and willing to multi-task and learn new technologies quickly

Ideally you'd have:

• 7+ years of full-time engineering experience, post-graduation
• A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client’s business goals
• Strong engineering background: a Bachelor’s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
• Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
• Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)

Nice to haves:

• Strong knowledge of software engineering best practices
• Have built applications taking advantage of Generative AI in real, production use cases
• Familiarity with state of the art LLMs and their strengths/weaknesses

We are seeking a Senior Security Engineer with a specialty in Detection and Incident Response to join our Security Engineering team. This role sits at the intersection of security operations and software engineering — you won't just investigate incidents, you'll build the systems that detect, contain, and prevent them. You will design and ship high-precision detections across cloud services and enterprise SaaS, develop automation that shortens response timelines, and mature the telemetry pipelines that make it all possible. Your ability to write production-quality code is just as important as your ability to triage an alert.

You will structure investigations, analyze root causes, and clearly communicate the significance of security incidents, their impact, and recommended remediation steps — but you'll also turn those findings into durable engineering improvements: better detections, tighter schemas, and smarter automation.

You will:

• Engineer, test, and deploy detection logic across cloud and enterprise environments, treating detections as software with version control, peer review, and measurable performance.
• Build and maintain incident response automation, runbooks, and tooling that reduce containment timelines without sacrificing developer velocity.
• Mature telemetry pipelines through improved schema design, normalization, enrichment, and quality checks that reduce false positives and increase signal fidelity.
• Perform digital incident investigations to identify and contain potential security breaches.
• Conduct digital forensics and malware analysis to understand attack vectors and adversary methodologies.
• Integrate alerting with messaging and ticketing systems to enable fast, traceable response workflows.
• Partner cross-functionally with IT, security, and engineering teams to harden identity and access patterns, close logging and forensics gaps, and implement maintainable guardrails that scale with the organization.
• Utilize threat intelligence platforms to improve hunting, detection, and response workflows.
• Clearly explain the significance and impact of incidents, providing actionable recommendations to both technical and non-technical stakeholders.

Ideally, you'd have:

• • 5+ years of experience in Detection Engineering, Incident Response, or Security Operations, with a strong emphasis on building and shipping security tooling and automation.
  • Proficiency in at least one programming language (e.g., Python, Go) and comfort writing production-grade code — not just scripts.
  • Hands-on experience designing or improving detection pipelines, SIEM content, and alerting workflows in cloud-native environments.
  • Practical experience with SIEM, EDR, and SOAR tools, with a preference for candidates who have built integrations or extended these platforms programmatically.
  • Strong understanding of modern cyber threats, common attack techniques, and adversary TTPs.
  • Familiarity with digital forensics tools and malware analysis techniques.
  • Experience with cloud-native environments (e.g., AWS, GCP, Azure) and the security telemetry those environments generate.
  • Exposure to threat intelligence platforms and integrating intel into detection and investigation workflows.
  • Strong communication skills, with the ability to translate complex security findings into clear business impact.
  • Relevant security certifications (e.g., GCIH, GCFA, GCIA, CISSP, GDSA) are a plus.

We are seeking a highly technical Security Engineer to join our Product Security team. This role is integral to ensuring the security and integrity of our products and services. You will conduct in-depth code reviews, implement security best practices, and influence the overall security strategy. Your expertise in TypeScript, Python, AWS, CI/CD, SAST, DAST, and terraform orchestration will be crucial in identifying and mitigating potential security vulnerabilities. You will also structure complex problems, diagnose root causes independently, and clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.

You will:

• Leverage broad product security expertise to build and maintain software tooling that secures every layer of the modern AI/ML software ecosystem.
• Conduct in-depth code reviews to identify and remediate security vulnerabilities.
• Evaluate and enhance the security of our product offerings, through RFC and service review.
• Implement and maintain CI/CD pipelines with a strong focus on security.
• Perform Static Application Security Testing (SAST) and Dynamic Application Security Testing (DAST) to identify vulnerabilities in production code.
• Utilize terraform orchestration to ensure secure and efficient infrastructure management.
• Guide engineering teams to build robust long-term solutions that consider security and privacy. 
• Clearly explain the mechanics and significance of security vulnerabilities, including their exploitability and potential impact.
• Influence the security strategy and direction of the team, advocating for best practices and continuous improvement.

Ideally, you’d have:

• Demonstrated ability to drive multi-month security initiatives independently, from problem definition through execution, without requiring significant direction.
• Proven experience as a Security Engineer with a focus on product security.
• Proficiency in NodeJS, TypeScript, Python, and/or Kubernetes.
• Strong understanding of modern Javascript application design.
• Production experience operating and securing AWS infrastructure at scale.
• Hands-on experience with SAST and DAST tools and methodologies.
• Familiarity with terraform orchestration for infrastructure management.
• You can structure complex problems and diagnose root causes independently, providing actionable insights without requiring manager input.
• Excellent communication skills, with the ability to clearly present technical concepts and their implications to both technical and non-technical stakeholders.
• Demonstrated ability to influence security strategies and drive improvements within a team.
• Relevant security certifications (e.g., CISSP, CEH, OSCP) are a plus.

As a Software Engineer on the Machine Learning Infrastructure team, you will build the "Operating System" for our large-scale GPU clusters. You will architect a high-performance training platform that handles the immense complexity of multi-thousand GPU workloads, ensuring every cycle is used efficiently. Your work directly determines the velocity at which our researchers can train and iterate on the world’s most advanced models.

The ideal candidate is a systems expert who thrives on solving the orchestration, networking, and reliability challenges that emerge at massive scale. You will partner closely with researchers to build a seamless, resilient environment that transforms raw compute into breakthrough AI.

You will:

• Architect and scale a multi-tenant orchestration layer that abstracts away the complexity of GPU clusters, ensuring high utilization and seamless job recovery.
• Design and implement scheduling primitives to optimize the lifecycle of training jobs.
• Develop deep observability and automated health-checking into the training stack to proactively identify and isolate hardware failures
• Evaluate and integrate emerging technologies in the CNCF and AI ecosystem (e.g. Ray, Kueue), making data-driven build vs. buy decisions that balance velocity with long-term maintainability.
• Work closely with Finance and Procurement teams to drive our capacity planning process.
• Participate in our team’s on call process to ensure the availability of our services.
• Own projects end-to-end, from requirements, scoping, design, to implementation, in a highly collaborative and cross-functional environment.

Ideally you'd have:

• 5+ years of experience in backend or infrastructure engineering, with at least 2 years focused on orchestrating ML workloads at scale (100+ GPU nodes).
• Strong programming skills in one or more languages (e.g. Python, Go, Rust, C++)
• Experience with complex compute management systems that cover queueing, quotas, preemption, and gang scheduling.
• Experience with distributed training infrastructure, such as EFA, Infiniband, and topology-aware scheduling.
• Experience with distributed storage systems (e.g. Lustre, S3) as they relate to training throughput
• Expert-level knowledge of Kubernetes internals (Custom Resources, Operators, Admission Controllers) and how they interact with device plugins for specialized hardware.
• Familiarity with cloud infrastructure (AWS, GCP) and infrastructure as code (e.g., Terraform).
• Proven ability to solve complex problems and work independently in fast-moving environments.

Nice to haves:

• Experience with distributed training techniques such as DeepSpeed, FSDP, etc.
• Experience with the NVIDIA software and hardware stack (CUDA, NCCL)
• Experience with PyTorch
• Familiarity with post-training algorithms such as GRPO, and with Reinforcement Learning

About Scale

At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we’re accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations.

About the ACE team 

The Agent Capabilities & Environments (ACE) team, part of Scale’s Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. 

About This Role

This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions.

Ideally you’d have: 

• Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes.
• A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.)
• At least three years of experience addressing sophisticated ML problems, either in a research setting or product development.
• Strong written and verbal communication skills and the ability to operate cross-functionally. 

Nice to have:

• Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax. 
• Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents.
• Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc.
• Familiarity with agentic reasoning methods such as STaR and PLANSEARCH 
• Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment.

Our research interviews are crafted to assess candidates' skills in practical ML prototyping and debugging, their grasp of research concepts, and their alignment with our organizational culture. We will not ask any LeetCode-style questions.

Scale AI is the data foundation for AI, helping organizations build and deploy reliable production AI applications. We partner with leading enterprises and government organizations to accelerate their AI initiatives through our data annotation platform, generative AI solutions, and enterprise AI capabilities.

About the General Agents Team

The General Agents team, part of Scale’s Enterprise organization, builds robust general agents for customer use cases and applications. The team sits at the intersection of frontier agent development and real-world deployment, translating state-of-the-art reasoning and agentic capabilities into reliable, production-grade systems that drive real economic value. Our agents are scalable systems built around recurring enterprise problem domains, with a strong emphasis on generalization, extensibility, and deployment across many customers.

About the Role

As a Senior/Staff Machine Learning Engineer (MLE) on the General Agents team, you’ll play a critical role in designing, building, and deploying production-ready AI agents that solve high-impact enterprise problems. You will work across the full agent lifecycle—from model and system design to evaluation, deployment, and iteration—bridging cutting-edge agentic techniques with the constraints and requirements of real customer environments.

You will:

• Design and implement end-to-end agent systems that combine LLM reasoning, tool use, memory, and control logic to solve recurring enterprise use cases.
• Build scalable, reliable agent architectures that can be deployed across many customers with varying data, tools, and constraints.
• Develop evaluation frameworks, datasets, environments, and metrics to measure agent performance, reliability, and business impact in production settings.
• Collaborate closely with product managers, customers, data annotators, and other engineering teams to translate enterprise requirements into robust agent designs.
• Productionize frontier agent techniques (e.g., planning, multi-step reasoning and tool-use, multi-agent patterns) into maintainable, observable systems.
• Own deployment, monitoring, and iteration of agent systems, including failure analysis and continuous improvement based on real-world usage.
• Contribute to technical direction and architectural decisions for general agent development best practices and methods, with increasing scope and leadership at the Staff level.

Ideally you’d have:

• 5+ years of experience building and deploying machine learning or AI systems for real-world, production use cases.
• Strong engineering fundamentals, supported by a Bachelor’s and/or Master’s degree in Computer Science, Machine Learning, AI, or equivalent practical experience.
• Deep understanding of modern LLMs, prompt-, context-, and system-level optimization, and agentic system design.
• Proven proficiency in Python, including writing production-quality, testable, and maintainable code.
• Experience building systems that integrate models with external tools, APIs, databases, and services.
• Ability to operate in ambiguous problem spaces, balancing research-driven approaches with pragmatic product constraints.
• Strong communication skills and comfort working in customer-facing or cross-functional environments.

Nice-to-haves:

• Hands-on experience building AI agents using modern generative AI stacks (OpenAI APIs, commercial or open-source LLMs).
• Experience with agent frameworks, orchestration layers, or workflow systems (e.g., tool calling, planners, multi-agent setups).
• Familiarity with evaluation, monitoring, and observability for LLM-powered systems in production.
• Experience deploying ML systems in cloud environments and operating them at scale.
• Experience fine-tuning or adapting foundation models using methods like supervised fine-tuning (SFT), reinforcement learning with verifiable rewards (RLVR), and low-rank adaptation (LoRA) to improve agent performance on domain-specific tasks.
• Interest in shaping the future of general-purpose enterprise agents and their real-world impact.

Your Impact

On the Real Time Operations (RTO) Live Streaming team we are building the next generation of live streaming for mission-critical situations. Through Fusus we unify live video, sensor data, and alerts into a single operational view to empower agencies to make faster, better decisions. We design, deploy and manage hardware + software used by first responders and security professionals worldwide. 

As a Senior Software Engineer you will: Build the native foundation for edge video and IoT intelligence across Axon Body cameras and FususCOREs. Own high-performance pipelines from sensor to inference. Shape how SDKs are consumed across mobile and backend surfaces. Define standards for ABI stability and long-term compatibility. Influence architecture decisions at the boundary of hardware, media, and AI.

What You’ll Do

• Location: This role is based out of our Seattle office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesdays through Fridays, with the flexibility to work remotely on Mondays, unless there is an approved workplace accommodation. We believe that connection fuels innovation, and our in-office culture is designed to foster meaningful teamwork, mentorship, and shared success.
• Reports to: Senior Software Engineering Manager
• Define the native platform architecture for the next generation of Axon Fusus hardware: this is an opportunity to set the technical direction from vendor and SoC selection through production deployment.
• Set the SDK strategy: define the ABI contracts, versioning guarantees, and FFI boundaries that will outlast any single product generation.
• Design and ship cascade AI pipelines at the edge: chain detection, classification, and analytics models across NPU/GPU/VPU resources to deliver real-time intelligence within the power and thermal constraints of embedded hardware worn + deployed in the field.

What You Bring

• 8+ years of professional software development experience.
• Proven track record of designing and building latency-critical systems that run on embedded and IoT devices.
• Experience designing SDKs with stable ABIs, clear versioning strategies, and cross-language FFI design.
• Familiarity with ARM SoCs (RK3588, Jetson, QCS series) beyond x86 embedded.
• Sets a high technical bar for the team by writing well-tested, maintainable code and leading code and technical design reviews. Leads from the front setting AI coding standards for the team.
• Experience with hardware-accelerated video pipelines a plus.
• Hands-on experience with inference at the edge using NPUs or GPUs — TensorRT, CUDA, ONNX Runtime, or similar a plus.

Benefits that Benefit You

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

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

Behavioral Health Community Guide

Location: Seattle, WA metro area

FLSA Status: Exempt

Job Status: Full Time

Work Model: Hybrid

Work Schedule: Monday–Friday with occasional evenings and/or weekends

Vehicle Required: Yes

Amount of Travel Required: 25-50% within a 30 mi community service area

Reports To: Care Team Manager

Salary Range: $55,000 - $62,000 annually 

 At Reema Health, we believe that a personalized, community-based approach to care makes it easier for anyone to access the things they need to make their lives better. We know that life’s challenges often exist because the systems built to help are a burden to navigate. We believe building a relationship with a real person — someone who listens, meets members where they are, and understands the community’s resources — can ease those burdens and effectively connect members to health care. Reema believes that using technology to support human connection and engagement can be a lifeline for those most struggling to navigate life’s challenges. Our mission-driven and member-focused company is seeking an experienced and self-motivated Community Guide who has worked with individuals living with serious mental illness and substance use disorder, and understands the unique needs of this community. In this role, the Community Guide will be working with the multidisciplinary care team to plan and coordinate services for members.

This energetic and adaptable Community Guide is an integral part of Reema, a start-up working to transform how behavioral health care and social care work together. The Community Guide works to build genuine, positive relationships with a diverse range of members and seeks to improve the member’s health and wellbeing. Their work is completed daily through an integrated technology platform to call and text members, schedule community visits and clinical appointments, as well as document all interactions and communicate with the clinical team. The Community Guide will be responsible for the full lifecycle of their caseload, including initial outreach to engage members in services, ongoing work with members to achieve their wellbeing goals through connection to health care and community resources, and completion of the care plan. The Community Guide will work as part of an integrated model of healthcare where they partner directly with clinical therapists and prescribers to provide holistic support for members. A primary strength of the Community Guide should be excellent verbal and written communication, building strong meaningful relationships, problem solving, and a comfortability in navigating the ambiguous nature of a constantly growing and evolving startup.

This position requires significant time in the field, directly interacting with members. This role is most suitable for someone who is confident in interacting directly with many people, many of whom have experienced trauma and face barriers because of their mental, physical and chemical health.

Outreach and engagement into care:

• Engage and work alongside clients from diverse ethnic backgrounds, focusing on those with: severe and persistent mental illness, substance use disorders and complex medical conditions.
• Reach out to members and share about Reema Health to enroll them in our care model.

Provide high quality and meaningful support to members to achieve improved health and wellbeing outcomes:

• Through cold outreach create and manage a caseload of 60 - 100 members and provide coverage for other Community Guides during periods of absence or increased workload.
• Assess member needs and support systems, including social determinants of health, to help create a patient-centered care plan.
• Assess member behavior and mental health needs and actively participate in guiding them through the process of enrolling in behavioral and mental health services. 
• Establish trusting relationships with members, reliably provide meaningful and quality support, and follow-through in a timely and appropriate manner to achieve their wellbeing goals.
• Collaborate with our clinicians by helping patients connect to care, joining clinical visits as appropriate, following up on social needs.
• Coordinate referrals and support appointment scheduling and attendance with behavioral health, primary care, and other provide types for members.
• Understand overall goals for the month. Independently organize and prioritize workload with effective time and task management skills to achieve monthly goals and outcomes.
• Actively listen, empathize, and appreciate the vulnerability of members willing to share their challenges. Community Guides will maintain professional boundaries and confidentiality, seeking consultation and support with complex member situations from the multidisciplinary team.
• Visit members in person as appropriate. This may be in the member’s home, community, the hospital or other treatment setting to build trust and maintain connection with Reema’s clinical services.
• Utilize text, phone, email and face-to-face interactions appropriately to match your communication approach with each members’ preference and situation.
• Effectively identify and connect members to community and health resources to support member needs. This may include transporting members and accompanying them to access other services.  Establish relationships with resources to support Reema’s members as needed.
• Prepare members for services ending by keeping self-sufficiency and independence top of mind.

Complete accurate and thorough documentation and record keeping in a timely manner:

• Utilize the Reema App to thoroughly document all work with members in a timely fashion, including keeping a care plan updated. 
• Understand and comply with confidentiality of protected health information and HIPAA.
• Support member records to be thorough and accurate in both Reema’s technology and our EHR.

Provide positive representation of Reema:

• Work independently and collaboratively in a fast-paced startup environment. See frequent change as an opportunity rather than a barrier. 
• Serve diverse members in your community with dignity and respect, as well as build relationships with community resources and customers. 
• Partner with Reemates across the multidisciplinary team and the company to offer your perspective and learn from others.

Job responsibilities to grow and change as business necessitates.

Education, Experience and Skills:

• Bachelor’s degree in Social Work, Human Services, Psychology, Health Sciences or other related fields. Years of related experience and subsequent expertise can be substituted for years of completed education towards a bachelor's degree
• 3 or more years of direct experience with population or community to be served and knowledge of community
• Driven to work with individuals who have significant mental and chemical health needs and believe that recovery is possible
• Demonstrated experience with crisis planning, case management, boundaries and personal safety in community work
• Proficiencies in critical thinking, time management, strategizing, and multitasking
• Strong propensity towards building and maintaining relationships through initiating conversations and creating connections
• Ability to develop, adapt, and execute outreach and care plans
• Demonstrated proficiency working with technology, including basic knowledge of all related computer and software applications such as Microsoft Word, Outlook and Excel, and Video Conferencing required; G-Suite preferred

Qualifications & Position Requirements:

• 18 years of age or older
• Qualified applicants must have flexible and reliable access to transportation, a valid Driver's License, Vehicle Insurance, and a satisfactory driving record
• Offers are contingent upon passing a pre-employment drug screening and background check
• Comply with federal, state and local regulations regarding patient confidentiality HIPAA
• Use technology-based tools and systems daily
• Lift and carry up to 25 pounds occasionally

Benefits: 

• Competitive Salary 
• Medical, Dental, and Vision Insurance
• HSA and FSA Options
• 401(k) Retirement Savings Plan
• Employee Assistance Program
• Flexible Schedules and Remote Work
• Technology Stipend
• Mileage Reimbursement
• Accrued Paid Time Off
• Paid Family and Medical Leave

As an equal opportunity employer, Reema Health is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state and local laws. 

Reema Health has reviewed this job description to ensure that essential functions and basic responsibilities have been included. It is intended to provide guidelines for job expectations and assess the prospective employee and/or current employees ability to perform the position described. It is not intended to be interpreted as an exhaustive list of all functions, responsibilities, skills, and abilities for this role. Additional functions and requirements may be assigned by supervisors as deemed appropriate.

Notice to all potential candidates

Reema Health has been made aware of fraudulent activities targeting job seekers. 

To ensure your safety and protect yourself from potential scams, we urge you to exercise caution and verify the authenticity of anyone claiming to represent Reema Health. 

We value your privacy and security. Genuine communications from us will always come from official email domains. We assure you that we will never request bank account, credit card, or social security information during the application or interview processes. We would also never conduct an interview or extend a job offer over chat or text.

We appreciate your understanding and interest in a career with Reema Health.

ABOUT THE JOB 

We're seeking a full stack Security Software Engineer to develop novel security tooling for securing our suite of products including and detecting potential cybersecurity issues across embedded Linux systems and Android devices. The ideal candidate can develop across the the full stack - from Linux eBPF programs to cloud backends and everything in between.

WHAT YOU’LL DO 

• Design and develop cybersecurity tools for embedded Linux and Android systems.
• Build and maintain backend services with REST APIs running on cloud platforms.
• Create user-friendly frontends using React and TypeScript.
• Manage cloud infrastructure using Terraform and/or AWS CDK.
• Collaborate with cross-functional teams to identify security needs and implement solutions.
• Conduct code reviews and ensure adherence to security best practices.
• Stay updated on the latest security threats and technologies.

REQUIRED QUALIFICATIONS

• 5+ years of software development experience in some combination of Golang, Rust, Kotlin, and TypeScript.
• Proficiency in implementing application backends, including authorization, observability, REST APIs, and NoSQL data persistence.
• Strong experience with frontend development using React and TypeScript.
• Familiarity with cloud infrastructure management (Terraform and/or AWS CDK).
• Experience in mobile development, specifically on Android platforms.
• Understanding of cybersecurity principles and practices.
• Ability to obtain and hold a U.S. Secret security clearance.

PREFERRED QUALIFICATIONS

• Experience with embedded systems and Linux.
• Knowledge of security frameworks and compliance standards.
• Experience with Linux observability and eBPF.
• Experience with CI/CD and test automation, including for mobile devices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.

The Role:

SoFi is launching a brand-new commercial banking product — and we need a Senior Engineering Manager to build and lead it.

Commercial Banking is SoFi's entry into institutional commercial banking. We're building the infrastructure that lets large institutional clients in crypto, fintech, and enterprise finance manage their money at SoFi — real-time payments, multi-account treasury management, and a closed-loop settlement network that operates 24/7/365. The product you build will handle real institutional money from day one. The network you help create — SEN (SoFi Exchange Network) — could become the default settlement rail for the industry.

This is a rare chance to build a new business line for a publicly traded bank, backed by SoFi's banking charter, existing payment infrastructure, and a company that moves fast. You'll shape the technical foundation, hire the team, and ship the product.

What You'll Do:

Build It

• Lead the architecture and delivery of SoFi's commercial banking product — API Gateway, payment orchestration, client onboarding, and the services that power the client-facing experience.
• Own the end-to-end client onboarding orchestrator: a stateful workflow engine that provisions entities, bank accounts, entitlements, payment rails, limits, and pricing — across sandbox and production environments.
• Drive the design and implementation of the SoFi Exchange Network (SEN) — a real-time, 24/7/365 closed-loop payment network enabling instant settlement between SoFi commercial clients.
• Build enterprise-grade identity, RBAC, and maker/checker approval systems that support complex organizational structures (CFOs, treasury managers, analysts, auditors — each with scoped account access, per-rail permissions, and configurable payment limits).
• Deliver a production-quality sandbox environment that allows institutional clients to integrate and test against realistic simulations of every payment rail.

Lead the Team

• Recruit, mentor, and grow a high-performing engineering team.
• Set technical direction and engineering standards — code quality, system design, observability, incident response.
• Drive execution with well-defined sprints, clear deliverables, and tight feedback loops.
• Create a culture of ownership where engineers think beyond their pull requests — understanding the business impact of every payment that flows through the system.

Drive Cross-Functional Delivery

• Partner directly with Product, Design, Compliance (AML/KYB), Risk, Treasury, and Bank Operations to deliver a product that meets both client needs and regulatory requirements.
• Coordinate across engineering teams at SoFi to integrate Commercial Banking into SoFi's broader banking infrastructure — identity, entitlements, accounts, payments, and core banking systems.
• Influence and shape the end-to-end client experience, working closely with partners across the product and design organizations.
• Own the technical relationship with early clients during onboarding, sandbox integration, and production go-live. You'll be in the room when the first wire clears.
• Define and execute the go-live readiness process: functional validation, security review, ops runbook, monitoring, and formal sign-off across Engineering, Operations, and the client.

Scale It

• Design systems that scale from early clients at launch to hundreds — with the onboarding orchestrator, payment processing, and operational tooling to support that growth.
• Establish the operational workflows that SoFi Ops will use to manage Commercial Banking clients at scale (account views, payment rail dashboards, error resolution, compliance and regulatory workflows).
• Build the billing and revenue infrastructure, including monthly reporting and reconciliation.

What You'll Need:

• 10+ years of software engineering experience, with at least 4 years in engineering management leading teams of software engineers.
• Strong distributed systems skills — you can design services, define API contracts, and reason about consistency, idempotency, and failure modes in complex workflows.
• Strong technical expertise — you can evaluate architecture proposals, engage in design reviews, and hold the team to a high engineering bar. Familiarity with JVM-based stacks (Kotlin or Java, Spring Boot) and modern infrastructure (Kubernetes, AWS/GCP, CI/CD) is a plus.
• Track record of zero-to-one product delivery — you've shipped a new product from concept to production with real users.
• Experience with enterprise identity and access management — RBAC, OAuth2, multi-tenant authorization, and approval workflows.
• Strong cross-functional leadership — you can drive alignment across Product, Design, Compliance, Risk, and Operations without needing a VP to clear the path.
• Excellent communication skills — you'll present to executives, write technical design documents, and explain system tradeoffs to non-technical stakeholders.

Nice to Have:

• Experience building financial systems — payments, ledger, treasury, banking, or fintech where correctness, auditability, and reliability are non-negotiable.
• Experience building real-time payment systems (FedWire, FedNow, RTP, ACH origination) or settlement networks.
• Background in commercial or institutional banking (treasury management, FBO/omnibus accounts, correspondent banking).
• Experience with crypto-adjacent financial infrastructure — custodian banking, exchange settlement, stablecoin operations.
• Familiarity with AML/KYB compliance workflows, sanctions screening (OFAC), and transaction monitoring in a regulated banking environment.
• Experience building developer-facing products — API gateways, developer portals, sandbox environments, webhook infrastructure.

Prior work with workflow orchestration engines (Temporal, Cadence, Step Functions) for long-running stateful processes.

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

ABOUT THE JOB

Air Defense is a high-octane, rapidly scaling business line that develops, integrates, and fields an expanding mix of mature and novel capabilities to detect and defeat UAS threats. As our business line continues to scale, our newest emerging initiatives require focused direction and ownership to rapidly mature in support of Air Defense’s operational, technical, and financial objectives.

In this role, you will:

Orchestrate the Deployment of Anduril Products.
Lead the planning and deployment of Anduril’s flagship hardware and software products in support of customer missions. Through collaboration with our engineering, logistics, and technical operations teams, Mission Operators are in charge of deploying our products to the field, training end users, and ensuring the high performance of our products. We are obsessed about engagement and keeping our finger on the pulse of how customers interact with our products. This helps us improve the user experience and evolve their operational tactics and techniques. And if something isn’t quite right, we work with product teams to quickly address the issue on behalf of our customer.

Drive Internal and External Relationship Management
Build trust with customers, industry partners, users, and Anduril teammates through effective communication, positive attitude, and follow-through. With careful listening and observation, you internalize your counterpart’s priorities and requirements. With empathy and responsiveness, you quickly build rapport, trust, and confidence in our capability. You develop relationships across the organization and communicate honestly and directly. You are committed to giving and receiving feedback well. Your partners always know what you expect from them, and know exactly what to expect from you.

Shape our Products to Meet Mission Needs.
Work side-by-side with our customers to understand their specific mission challenges and represent the customer as you work with Anduril engineers to shape products that solve critical national and international security challenges. Anduril engineers rely on Mission Operators to understand the lay of the land and bring a perspective that informs the product development process.

Collaborate across nearly every Anduril team.
Successfully deploying our complex hardware and software products requires collaborating with nearly every internal Anduril team - business development, engineering, product, logistics, finance, legal, contracting, technical operations, and many more. You’ll be responsible for ensuring each party is engaged and informed, and will therefore become well-versed in what it takes to really bring the best of Anduril to our customers.

We move fast at Anduril and give tremendous freedom and autonomy to our new hires to assume responsibility and exercise prudent interdisciplinary judgement; when you join our team, you’re signing up to immediately make an impact in our organization.

WHAT WE’RE LOOKING FOR

Mission First Mindset.
We put the needs of the mission and our customers first and understand that the US and its allies have no preordained right to victory in any future conflict. We actively seek out opportunities to better understand our customers’ mission needs, with a goal to build the best possible products for the warfighter and radically evolve our national and international defense capabilities. We push ourselves and the limits of our capabilities in the pursuit of this goal.

Ownership Mentality.
We’re looking for owners; those who have a natural bias to assume responsibility, a healthy dose of skepticism, and contribute to a culture of performance. We empower our Mission Operators to quickly assume high levels of responsibility and entrust them to actively own their account and shape its success. Our Mission Operators are just as comfortable helping to shape a proposal or pitch a new customer as they are working with engineers on new features or deploying products in the field.

Technical Aptitude and Intellectual Curiosity.
We are first and foremost a technology company, working at the leading edge of capabilities like machine learning, autonomy, distributed networking, and multi-modal sensor fusion. Do you have a natural desire to see beyond simple cause and effect relationships to really understand how complex systems operate? Do you actively seek out opportunities to educate yourself? These capabilities form the foundation of our product offerings, so we are looking for those who are comfortable communicating technical concepts and can articulate them in the context of the customer’s mission.

Structured Thinker and Problem Solver.
Leading technical deployments requires clear communication and well thought-out plans. We are looking for assertive communicators who bring a thoughtful perspective and honest dialogue. A solution-driven approach, the ability to distill complexity into its essential, digestible components, and the ability to supervise execution are critical to ensure mission success.

High Value Team Member.
Do you enjoy working as part of a team? At Anduril, the path to success weaves through the organization - account teams, engineering, logistics, technical operations, and more. It requires humility, an eagerness to learn, and empathy toward your fellow team member. We assume best intentions and empathize with customers just as we do with our colleagues. Can you develop rapport at both the user and executive levels? Do you enjoy sharing successes? We are a low ego group that promotes teamwork and collaboration to bring about success.

REQUIRED QUALIFICATIONS

• Advanced degree or 3-5+ years experience in a technical field, preferably in the defense, national security, or aerospace domain
• Highly organized creative problem-solver with proven project management skills
• Proven experience leading tech-enabled teams of peers while building a culture of influence through relationships
• Experience translating and decomposing highly technical concepts into operational requirements and performance specifications
• Must be able to obtain a Secret Clearance.
• Must be able to travel up to 50% of the time

PREFERRED QUALIFICATIONS

• Experience with C2 Hardware and Software, Networking, CUAS, and/or Air and Missile Defense
• Familiarity with doctrinal, functional, and technical command and control concepts, processes, and principles
• Prior military or government acquisition and/or government contracting experience
• Able to obtain and hold a U.S. security clearance to TS/SCI