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 

BioMed Realty is seeking a professional to assist the Property Manager in overseeing and coordinating all property management, maintenance, and construction activities across the company’s portfolio of life science and technology properties.

This position offers a hybrid work model, which includes 4 days in office and 1 day remotely. Hybrid work may be modified based on the needs of the company.

What You’ll Do

• Assists with overseeing and coordinating property management, maintenance, construction, and work order activities associated with commercial and laboratory tenants.
• Provides direction and coordination for activities related to the operation and maintenance of laboratory, office, and manufacturing facilities and equipment.
• Assists in preparing budgets, accruals, variance reporting, timelines, and operational plans to support property management objectives.
• Maintains organized files, records, schedules, compliance documentation, and related property management data.
• Supports regulatory and operational compliance with applicable local, state, federal, and company policies and procedures.
• Participates in frequent communication and meetings with Property Managers, Facility Managers, tenants, vendors, and contractors to coordinate projects and resolve operational matters.
• Prepares and distributes correspondence, reports, meeting materials, and related documentation.
• Provides logistical support for on-site and off-site meetings, including setup, coordination, and follow-up activities.
• Assists with obtaining vendor bids and preparing contracts, consulting agreements, and design agreements using approved templates and vendor information.
• Assists with assembling and reviewing contract bids, project progress reports, and vendor performance documentation.
• Conducts weekly property inspections and assists with monthly and quarterly property and asset reviews, including site visits, vendor and tenant meetings, and completion of required reporting.
• Coordinates tenant access support, including arranging access cards and activating key fobs at multiple properties.
• Represents the company in interactions with tenants, vendors, contractors, outside agencies, and business partners.
• Maintains ongoing communication with key clients and contacts to ensure timely follow-up, project completion, and resolution of outstanding items.
• Assists with rent collection activities, tenant reconciliations, invoice processing, and coordination with property accounting and accounts payable teams.
• Assists Property Managers and Facility Managers in responding to emergency situations and coordinating on-site communication with tenants, vendors, contractors, and emergency personnel as needed.
• Performs additional duties and responsibilities as assigned by management.

Experience & Qualifications

• Relevant experience supporting real estate or property management operations, including administrative and clerical responsibilities.
• Associate degree or equivalent combination of education, training, and related experience.
• Proficiency with Microsoft Office applications, including Word, Excel, and Outlook; MRI experience preferred.
• Strong verbal and written communication skills with the ability to convey information clearly and professionally.
• Demonstrated organizational, multitasking, and problem-solving abilities in a fast-paced environment.
• Ability to build and maintain effective working relationships with tenants, vendors, contractors, and internal teams.
• Detail-oriented with the ability to manage multiple priorities and meet deadlines independently and collaboratively.

Compensation: $37.00 - $46.00 per hour (Approx. $77,000 - $96,000 per year) + bonus + benefits

The above represents the expected salary range for this job requisition. Ultimately, in determining pay, we’ll consider location, experience, and other job-related factors.

Benefits 

At BioMed Realty, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. BioMed Realty continually seeks to provide a workplace where everyone can be their authentic self. Through BioMed Realty’s competitive benefits offerings and various training and development opportunities, we have you covered with our Benefits Program which includes:

• Medical, Dental, and Vision Insurance
• Paid Time Off and Paid Family Leave Benefits
• 401(k) Retirement Savings Plan
• Tuition Reimbursement
• Flexible Spending Accounts
• Commuter Benefits
• Lifestyle Spending Account
• Pet Insurance
• ID Theft Insurance
• Legal Insurance
• Employee Assistance Program
• 100% Employer-Paid Life & AD&D Insurance, Short and Long Term Disability

Amenities  

• Onsite Gym
• Complimentary Snacks and Beverages Provided
• Commuter Transit Benefit

Notice to Recruiters and Third-Party Agencies 

The Talent Acquisition team manages the recruitment and employment process for BMR To protect the interests of all parties involved, BMR will only accept resumes from a recruiter once a fully-executed search agreement is in place. Agencies are hereby specifically directed not to contact BMR employees directly in an attempt to present candidates. BMR will consider any candidate for whom an Agency and/or Recruiter has submitted an unsolicited resume to have been referred, free of any charges or fees.

#LI-EW1

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.

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.

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

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.

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

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 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 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

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 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.

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.

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 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.

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.

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.

ABOUT THIS ROLE 

LVT is at an inflection point. We've proven we can build fast. Now we need to build with precision at scale—and this role is the mechanism for that shift.

As our first Director of Technical Program Management, you will build the TPM function from the ground up and report directly to the CTO. You'll lead a lean team of IC TPMs and serve as the critical bridge between Product, Engineering, Hardware, and AI—translating ambitious roadmaps into disciplined, predictable delivery.

This role is for a builder and operator in equal measure: someone who can design the system, lead the team, and still get into the details when it matters.

This role is based out of our new Seattle co-working space or in our headquarters in American Fork, Utah. 

ROLE RESPONSIBILITIES

• Establish the TPM Function: Design and implement the organizational structure, processes, and delivery frameworks for the TPM team from the ground up.
• Strategic Integration: Act as the primary connective tissue between Product, Engineering, and Hardware Engineering, Internal and External suppliers and Joint-development partners to ensure technical dependencies are identified and managed across the entire Agentic AI and physical unit ecosystem.
• Team Leadership: Hire, mentor, and manage a team of IC Technical Program Managers. Define what "great" looks like and build toward it.
• Roadmap Orchestration: Partner with the CTO, CPO and leaders in Product/Engineering org to define program milestones and ensure resource allocation reflects LVT's highest-priority bets.
• Risk Mitigation: Proactively identify technical bottlenecks and cross-functional risks, implementing mitigation strategies before they impact delivery timelines. Manage the intersection of hardware lead times, software deployment cycles, and AI training schedules—keeping all departments synchronized and unblocked.
• Operational Excellence: Standardize reporting metrics and communication channels to provide executive leadership with real-time visibility into program health and velocity.
• Stakeholder Management: Navigate complex trade-offs between hardware lead times, software deployment cycles, and AI training schedules to keep all departments aligned including contributing to data driven and KPI oriented culture that provides transparency and actional path at all levels.
• Continuous Improvement: Evaluate and evolve LVT’s development lifecycle to increase efficiency and maintain quality as the company scales.

OUR IDEAL CANDIDATE

• Proven Leadership: 12+ years of experience in technical program management, with at least 3-5 years in a leadership role managing other TPMs.
• Hybrid Domain Expertise: Deep experience managing programs that involve both complex software (SaaS/AI) and physical hardware products; you understand the unique rhythms of both.
• Zero-to-One Mindset: You have successfully built or significantly scaled a TPM or PMO function within a fast-growing, high-tech environment.
• Technical Fluency: While you are a process expert, you possess the technical depth to engage in architectural discussions across AI, cloud, and embedded systems.
• Expert Orchestrator: You excel at translating high-level business requirements into detailed technical execution plans that engineering teams can rally behind.
• Resilient Communicator: You are comfortable navigating ambiguity and can effectively communicate complex technical status to both executive stakeholders and individual engineers.
• Data-Driven: You use metrics and tooling to drive accountability and have a proven track record of improving delivery predictability.
• Educational Background: A Bachelor’s degree in Computer Science, Engineering, or a related technical field is preferred; an MBA or PMP is a plus but secondary to proven experience.

COMPENSATION The beginning annual salary range for this role is $200,000.00 - $275,000.00 USD and is determined by location, job-related experience, and education/training. Your total earning potential is amplified by a bonus structure tied to meeting goals, and you will become an owner from day one through our employee equity program.

BENEFITS We believe you do your best work when your whole life is supported. We invest in our crew’s health, families, and financial futures with a benefits package designed to support you inside and outside the office.

LVT IS PROUD TO BE AN EQUAL OPPORTUNITY EMPLOYER. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. All candidates must pass a drug screening and background check upon employment. Some roles may also require passing a federal background check and fingerprinting. Must be authorized to work in the U.S. If reasonable accommodation is needed to participate in the job application or interview process, and/or to perform essential job functions, please reach out to your recruiter.

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.

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, or remotely in the United States region.

Responsibilities

• Manage a team of 6-8 engineers, fostering a positive culture, handling career growth and performance conversations, and proactively removing blockers
• Help develop a clear technical vision and comprehensive roadmap for our runtime environment, balancing long-term strategic infrastructure goals with immediate engineering needs
• Contribute through light hands-on technical work, such as leading architectural design reviews, reviewing PRs, and stepping in to guide the team through complex operational challenges
• Act as the primary liaison for the Fleet Management team, collaborating closely with other engineering leaders to ensure platform alignment and manage stakeholder expectations

You may be a good fit if you:

• Have 10+ years of experience working on software and operating distributed systems, with 2+ years managing engineering teams
• Possess a customer-focused mindset, treating internal developers as your primary users
• Value efficiency in processes and operations, and have a track record of optimizing team workflows
• Prefer automation over manual processes ("allergic to ops work"), fostering a culture of building software solutions to eliminate toil
• Have deep technical familiarity with Kubernetes ecosystems, containerization technologies, and modern IaC tooling (e.g., Terraform, Crossplane, or Operators) so you can effectively guide the team's technical decisions
• Excel at translating complex business and engineering requirements into actionable, phased technical roadmaps
• Have a high level of empathy, responsibility, ownership, and accountability
• Excellent verbal and written technical communication skills

Strong candidates may also have experience with:

• Leading major architectural shifts, such as migrating teams from traditional IaC to Operator-driven lifecycle management
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426152

We are hiring an experienced Security Software Engineer (Staff or Senior) for our Infrastructure Security team to design and build scalable security controls and services within MongoDB Atlas multi-cloud infrastructure.

The team sits within the Site Reliability Engineering organization and works with other engineering teams to ensure that our infrastructure adheres to the highest security standards.

This role can be based out of our New York City, Austin, Seattle or San Francisco offices, or work fully remotely on standard East Coast business hours.

Responsibilities:

• Design and build core security primitives and services that protect MongoDB Atlas compute, networking, and identity across AWS, Azure, and GCP
• Build secure-by-default infrastructure using Linux security mechanisms (AppArmor, SELinux, seccomp, cgroups), Kubernetes, and eBPF to enforce runtime policies and gain deep visibility into systems behaviour
• Develop APIs, automation, and tooling that manage security posture at scale (CSPM, vulnerability management, workload identity) and provide monitoring, logging, and alerting pipelines that integrate with our tooling (Grafana, Splunk, Victoria Metrics.)
• Integrate security into our CI/CD and infrastructure-as-code workflows (Terraform) so that security controls are versioned, reviewed, and deployed just like any other code
• Lead complex projects end‑to‑end, from problem discovery and design docs to implementation, rollout, and long‑term ownership
• Collaborate with SRE, platform and product engineering teams to define secure architectures for new infrastructure and services

Qualifications:

You might be a great fit if you match some of the following:

• 5+ years of experience in Software Engineering, Site Reliability Engineering, or similar roles, preferably with relevant security work
• Proficiency with at least one programming language (Java, Golang, Rust, Python, or C/C++) and experience with infrastructure-as-code tools (Terraform) to automate security configurations and processes
• A deep understanding of Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems
• Experience building security-related features or platforms such as runtime monitoring, CSPM, or vulnerability management
• Experience with a cloud provider (AWS, GCP, or Azure) and their security best practices and building blocks
• Hands-on experience with Kubernetes and its security ecosystem (e.g. RBAC, OPA/Gatekeeper, Kyverno, eBPF, Falco, Tetragon)
• A systems mindset: you think about failure modes, performance, observability, and operability alongside security and correctness
• Strong communication skills and the ability to explain complex security concepts and tradeoffs to both technical and non-technical stakeholders

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 2263171228

We are seeking a dynamic and visionary Director of Identity and Security Product Management to lead our Identity and Security Product Management team. This person will define and drive the execution of our product strategy for crucial functions across IAM and security, with a portfolio spanning authorization, authentication, Queryable Encryption, security hardening, and more. In this pivotal role, you will collaborate closely with stakeholders at every level of the organization, including executive leadership and cross-functional teams across multiple business units.

As the Director of Identity and Security Product Management, you will work closely with your engineering counterparts to define and deliver the roadmap for Identity and Access Management (IAM), Queryable Encryption, and Database Security. Your scope will span the MongoDB Atlas Platform, Core Database, and other critical companion services, ensuring that our IAM and security offerings continue to set the industry standard for excellence and innovation.

Your leadership in this role will be instrumental in maintaining our customers’ trust in MongoDB to deploy secure, high-performance applications with confidence, knowing their data is protected by cutting-edge security solutions.

This role can be based in Toronto or remotely in Canada.

Responsibilities

• Lead the Identity & Security Product Management team responsible for delivering Identity and Access Management, Queryable Encryption, and other customer-facing security features within the MongoDB platform 
• Drive highly regulated customer platform security and compliance requirements into MongoDB products
• Drive collaboration across Engineering, Customer Support, Marketing, Sales, and the Executive Leadership Team
• Drive a strategic narrative with customers and industry thought leaders around database security and identity
• Develop and maintain an accurate and up-to-date roadmap across your ownership areas in partnership with Engineering counterparts
• Develop strategic, operational, and tactical recommendations tailored to our products to improve  customers’ security posture and compliance positioning; regularly evangelize solutions at industry conferences, trade shows, and with key partners and accounts
• Deeply understand all aspects of MongoDB - to ensure a business outcome aligned with our broader product, customer, and company priorities
• Define security go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with sales leadership at regional and global levels
• Drive decision-making around prioritization, solutions, functionality, and pricing

Requirements

• 7+ years of experience managing teams and demonstrating leadership skills that bring together diverse viewpoints and drive a strategic agenda forward; can-do attitude, optimism, humility, and willingness to dive into ambiguity are all pluses!
• 10+ years of Product and/or Engineering Security experience working with enterprise-focused technologies and customers
• Excellent written and verbal communication skills with the ability to present to large executive audiences and key enterprise customers globally
• Experience or Expertise in One or more of the following: CEH, GSEC, CISM, Comp TIA Security +, CISSP, CISA, SSCP, CASP+, OSCP, AWS Solution Architect Pro, AWS Security, AWS Advanced Networking Specialty or other cloud provider equivalents
• Working knowledge and/or hands-on experience with several of the following areas: Identity & Access Management, operating system & platform security, network security, database security, and an understanding of network and web-related protocols
• Strong subject matter expertise in the fields of IT security and risk management
• Experience with cloud-native products and an in-depth understanding of microservice topologies and implementations
• Demonstrated ability to think strategically and proactively address business, product, and technical challenges
• Experience transforming traditional data center security measures into industry-adopted cloud technologies
• Strong technical acumen - our Product Managers must be effective partners in decision-making with their engineering counterparts and have deep depth of knowledge.
• Comfortable speaking with authority on any of the technical aspects of the topics in their portfolio, such as Jira, Aha, AWS, GCP, AZURE, Okta, Bug Bounties, DLP, Secure Web Browsing, Data Classification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 4263346784

We are seeking a dynamic and visionary Director of Identity and Security Product Management to lead our Identity and Security Product Management team. This person will define and drive the execution of our product strategy for crucial functions across IAM and security, with a portfolio spanning authorization, authentication, Queryable Encryption, security hardening, and more. In this pivotal role, you will collaborate closely with stakeholders at every level of the organization, including executive leadership and cross-functional teams across multiple business units.

As the Director of Identity and Security Product Management, you will work closely with your engineering counterparts to define and deliver the roadmap for Identity and Access Management (IAM), Queryable Encryption, and Database Security. Your scope will span the MongoDB Atlas Platform, Core Database, and other critical companion services, ensuring that our IAM and security offerings continue to set the industry standard for excellence and innovation.

Your leadership in this role will be instrumental in maintaining our customers’ trust in MongoDB to deploy secure, high-performance applications with confidence, knowing their data is protected by cutting-edge security solutions.

This role can be based in Palo Alto, New York City, Seattle, or remotely in the United States.

Responsibilities

• Lead the Identity & Security Product Management team responsible for delivering Identity and Access Management, Queryable Encryption, and other customer-facing security features within the MongoDB platform 
• Drive highly regulated customer platform security and compliance requirements into MongoDB products
• Drive collaboration across Engineering, Customer Support, Marketing, Sales, and the Executive Leadership Team
• Drive a strategic narrative with customers and industry thought leaders around database security and identity
• Develop and maintain an accurate and up-to-date roadmap across your ownership areas in partnership with Engineering counterparts
• Develop strategic, operational, and tactical recommendations tailored to our products to improve  customers’ security posture and compliance positioning; regularly evangelize solutions at industry conferences, trade shows, and with key partners and accounts
• Deeply understand all aspects of MongoDB - to ensure a business outcome aligned with our broader product, customer, and company priorities
• Define security go-to-market strategies, identify key market/competitive trends and customer opportunities, and plan and manage programs to execute against those strategies by partnering with sales leadership at regional and global levels
• Drive decision-making around prioritization, solutions, functionality, and pricing

Requirements

• 7+ years of experience managing teams and demonstrating leadership skills that bring together diverse viewpoints and drive a strategic agenda forward; can-do attitude, optimism, humility, and willingness to dive into ambiguity are all pluses!
• 10+ years of Product and/or Engineering Security experience working with enterprise-focused technologies and customers
• Excellent written and verbal communication skills with the ability to present to large executive audiences and key enterprise customers globally
• Experience or Expertise in One or more of the following: CEH, GSEC, CISM, Comp TIA Security +, CISSP, CISA, SSCP, CASP+, OSCP, AWS Solution Architect Pro, AWS Security, AWS Advanced Networking Specialty or other cloud provider equivalents
• Working knowledge and/or hands-on experience with several of the following areas: Identity & Access Management, operating system & platform security, network security, database security, and an understanding of network and web-related protocols
• Strong subject matter expertise in the fields of IT security and risk management
• Experience with cloud-native products and an in-depth understanding of microservice topologies and implementations
• Demonstrated ability to think strategically and proactively address business, product, and technical challenges
• Experience transforming traditional data center security measures into industry-adopted cloud technologies
• Strong technical acumen - our Product Managers must be effective partners in decision-making with their engineering counterparts and have deep depth of knowledge.
• Comfortable speaking with authority on any of the technical aspects of the topics in their portfolio, such as Jira, Aha, AWS, GCP, AZURE, Okta, Bug Bounties, DLP, Secure Web Browsing, Data Classification

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263346784

We are looking for an experienced Senior or Staff Engineer for our SRE, InfraSec team, to guide the security of our cloud-based infrastructure. As a Staff SRE, you will be very hands-on technically while also mentoring a small team of SREs.

The InfraSec team collaborates closely with other engineering teams to ensure that our infrastructure adheres to the highest security standards. They build essential security infrastructure and implement controls that reinforce the platform’s security posture.

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions.This team is deeply involved in the technical aspects of security and the nuances of its actual implementation.

This role can sit in our New York City, Austin, Seattle or San Francisco offices on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones.

Responsibilities:

Cloud Security Design and Implementation:  

• Help lead the design and deployment of security solutions for cloud platforms (AWS, Azure, GCP), including network and compute security, identity management, and cloud security posture management (CSPM)

Automation and Monitoring:  

• Build automated solutions for real-time security monitoring, logging, and alerting in cloud environments. Leverage native cloud services and third-party tools for runtime security monitoring and anomaly detection

Security Tooling:

• Evaluate, implement, and manage cloud-native security tools and platforms for endpoint security, identity management (IAM), and CSPM 

Qualifications:

Experience:  

• 6+ years of experience in SRE, infrastructure engineering or similar role, with a strong focus on security work, with ideally 2+ years in a senior or staff engineering role

Security Mindset:

• A comprehensive understanding of all facets of cloud environment security, spanning from foundational OS networking layers to cloud provider configurations. Proven experience in leading projects within security-focused areas, such as runtime scanning, security observability, CSPM, and more

Cloud Expertise:  

• Strong experience with at least one cloud platform (AWS, Azure, GCP), including expertise in IAM, VPC networking, security groups, and cloud security tools (e.g., GuardDuty, Security Hub, CloudTrail)

Coding/Automation:  

• Proficiency in at least one programming language (we use Golang but are language agnostic when it comes to hiring ) and experience with infrastructure-as-code tools (Terraform, CloudFormation, Ansible) to automate security configurations and processes

Linux and Networking

• Understanding of the underlying Linux and networking concepts, including low-level fundamentals, and how they work together in complex systems

Communication and Leadership Skills:  

• Strong ability to explain complex security concepts to both technical and non-technical teams. Ability to lead a small technical team and ensure success both meeting the team goals as well as personal growth for all team members

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1263064630

The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273376291

About the Role

We’re looking for a Senior Engineer to help build the next-generation inference platform that supports embedding models used for semantic search, retrieval, and AI-native experiences in MongoDB Atlas.

You’ll join the broader Search and AI Platform organization and collaborate with ML researchers and engineers from our Voyage.ai acquisition. Together, we’re building infrastructure for real-time, low-latency, and high-scale inference — fully integrated with Atlas and designed for developer-first experiences.

As a Senior Engineer, you'll focus on building core systems and services that power model inference at scale. You'll own key components of the infrastructure, work across teams to ensure tight integration with Atlas, and contribute to a platform designed for reliability, performance, and ease of use.

We're looking to speak with candidates in Palo Alto for our hybrid working model.

What You’ll Do

• Design and build components of a multi-tenant inference platform integrated directly with MongoDB Atlas, supporting semantic search and hybrid retrieval
• Collaborate with AI engineers and researchers to productionize inference for embedding models and rerankers — enabling both batch and real-time use cases
• Contribute to platform capabilities such as latency-aware routing, model versioning, health monitoring, and observability
• Improve performance, autoscaling, GPU utilization, and resource efficiency in a cloud-native environment
• Work across product, infrastructure, and ML teams to ensure the inference platform meets the scale, reliability, and latency demands of Atlas users
• Gain hands-on experience with tools like vLLM and container orchestration with Kubernetes

Who You Are

• 5+ years of experience building backend or infrastructure systems at scale
• Strong software engineering skills in languages such as Go, Rust, Python, or C++, with an emphasis on performance and reliability
• Experienced in cloud-native architectures, distributed systems, and multi-tenant service design
• Familiar with concepts in ML model serving and inference runtimes, even if not directly deploying models
• Knowledge of vector search systems (e.g., Faiss, HNSW, ScaNN) is a plus
• Comfortable working across functional teams, including ML researchers, backend engineers, and platform teams
• Motivated to work on systems integrated into MongoDB Atlas and used by thousands of developers

Nice to Have

• Experience integrating infrastructure with production ML workloads
• Understanding of hybrid retrieval, prompt-driven systems, or retrieval-augmented generation (RAG)
• Contributions to open-source infrastructure for ML serving or search

Why Join Us

• Be part of building the AI foundation of the world’s most popular developer data platform
• Collaborate with ML researchers from Voyage.ai to bring novel ideas into scalable systems
• Tackle challenging problems in inference, observability, and distributed infrastructure
• Work in a culture that emphasizes mentorship, ownership, and technical excellence

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 4263317053

MongoDB is looking for a transformational HR Leader who has partnered with senior leaders to drive complex, global change at scale. As the Senior Director, you will partner with the Chief Revenue Officer Leadership Team and the VP, HRBP to drive a people strategy that enables durable, profitable growth, expands our market reach, and builds a deep bench of leaders for tomorrow. The role reports to the VP, HR Business Partnering and manages a global team of two. 

At MongoDB, the HRBP team’s key focus is to be a trusted advisor to business leaders, translating business strategy into people and organizational priorities that drive performance, culture and growth. This includes shaping workforce strategy & culture, optimizing organizational design and building leadership capability. They use data and insights to influence decisions, anticipate talent needs and ensure that the business has the right structure, culture and capabilities to scale. In short, they are an extension of the business leadership team. They accomplish all of this through very close collaboration with the various other functions within the People Team - Total Rewards, Culture Talent & Development, Talent Acquisition, Regional HR, HR Operations, and People Analytics.  

Key Responsibilities

​Strategic Partnership & Business Leadership

• Serve as a trusted advisor to the CRO and global Sales leadership team, shaping people and organizational strategies that drive scalable revenue growth and global market expansion
• Leverage business acumen and data-driven insights to influence decisions on organization design, talent strategy, and leadership effectiveness
• Lead and develop a global team, fostering growth, excellence, and deep partnership capability

Talent & Performance Management

• Drive a high-performance culture through disciplined goal-setting, continuous feedback, and performance calibration across regions
• Partner with leaders to identify, develop, and retain top talent
• Use analytics and insights to diagnose trends, assess bench strength, and implement targeted development and engagement strategies that sustain performance
• Practice what you coach within your own team, providing continuous feedback, coaching and guidance to your team of BPs

Leadership Development & Succession Planning

• Lead succession planning for critical roles, ensuring depth and readiness across the global Sales organization
• Provide executive coaching and counsel to senior leaders to elevate influence, decision-making, and people leadership capability

Organizational Planning, Design & Change Leadership

• Lead global transformation and organizational design initiatives to ensure that the organizational structure enables accountability, scalability and performance
• Architect organizational change, ensuring transformations are executed thoughtfully and sustainably with clear communication and employee engagement

Culture & Employee Experience

• Act as a culture carrier and change agent, embedding company values and leadership principles into daily decisions, programs & behaviors
• Foster a culture of retention where teams feel empowered and aligned to outcomes

Profile & Experience

• 12+ years of HR experience, including 8+ years in senior HRBP roles and at least 4+ years leading a team of HRBPs
• Proven success leading people strategy and organizational transformation in a high-growth, high-performance technology company
• Strong business acumen and deep understanding of Go-To-Market operations and strategies
• Demonstrated ability to influence, build trust, and drive change across complex global organizations with very senior leaders
• Track record of leading through ambiguity and scaling organizations
• Analytical and insight-driven; uses data to guide decisions and measure impact
• Exceptional communication, judgment, and credibility at the most senior levels
• Consumption experience is a plus

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID: 1273422877

The Developer Productivity team supports the software development ecosystem used by thousands of engineers to develop and maintain MongoDB Server and developer tools in a complex matrix of multi-platform self-hosted products and multi-cloud hosted environments. Our tools and services, as well as our domain expertise, ensure that MongoDB developers can ship high quality products quickly, confidently, and securely. 

As a senior staff engineer you’ll be responsible for helping shape the future of our developer ecosystem and ensure we take advantage of the rapidly-evolving engineering landscape. You will partner with engineering leadership across the company to identify system-wide opportunities to accelerate developer velocity and efficiency, enhancing smart data collection and integrating analytics assistants that produce actionable insights every step of the way. 

Our team champions a strong culture of inclusivity, diversity, and collaboration. If you like working on a strongly collaborative team that loves to experiment, have a passion for open source, and generally thrive on being a champion for software development best practices  and data-informed decision making, this is the role for you.

Candidate Profile

• Minimum 10 years of experience in the developer productivity domain in large engineering environments, including building, and operationalizing complex, reliable systems
• Strong experience supporting one or more of C++, Java, Go, Python, Rust, Node, Typescript
• Strong understanding of DevOps culture and tooling
• Extensive experience with CI/CD pipelines, common deployment models and infrastructure, and various techniques used to safely roll changes into production environments
• Hands-on experience implementing metrics and observability tools and best practices, as well as data processing pipeline technologies such as Iceberg, Trino, Kafka
• Proven track record of driving technical execution and vision for organizations with 50+ team members
• Skilled in advocating for and representing the needs of a 1000+ customer base to internal platform teams

Responsibilities

• Drive strong operational excellence standards for internal software development tools and services, helping define golden paths that optimize the efficiency and velocity of our engineering organization
• Design software development systems to ensure best practices and champion industry standards
• Advise Engineering partners on technical implications of systems design with regards to complexity, testability, and maintainability
• Lead development and project management of some of the largest projects within MongoDB to improve developer productivity and software quality, particularly around data-driven insights and optimizations
• Provide technical mentorship and leadership to the Developer Productivity organization, promoting best practices and fostering team growth

Bonus points if the candidate has experience with:

• Strong systems fundamentals, including testing and monitoring multi-threaded systems
• Performance profiling of complex systems
• Leveraging best of breed AI tools & technologies in the developer productivity domain along with the necessary telemetry and analytics to measure effectiveness in a rapidly changing environment
• Experience supporting the development of database internals or core components for data processing systems

Success Measures

• In the first month, you will have understood the high level architecture of at least one of the systems within the MongoDB developer ecosystem and fixed a few bugs
• In three months, you will have a broad understanding of the overall developer ecosystem and be taking on code review responsibilities
• In six months, you will have taken on code and design review responsibilities for key systems within the software development ecosystem
• In twelve months, you will be leading the development of MongoDB’s next generation developer ecosystem, helping to mentor engineers on the team, and using your experience to drive the long-term DevProd-wide technical roadmap

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273376291

MongoDB is seeking an experienced Product Manager to own the strategy and execution for two tightly integrated layers of our core database: Replication and Storage Engines (WiredTiger). Together, these layers underpin MongoDB’s durability, availability, and performance for customers running mission-critical workloads.

This role spans two very different levels of customer visibility. Replication is, at its core, about keeping a distributed system in sync. Customer-facing concepts like failover, read concerns, and write concerns are how those guarantees surface. Customers understand and articulate those directly. WiredTiger internals like eviction, checkpointing, and cache management are invisible to customers, but are often blamed when "the system is misbehaving". You’ll need to move comfortably between both worlds: translating ambiguous customer symptoms into precise priorities for the storage engines team deep in the stack, while driving the replication roadmap and partnering with fellow database product managers on cross-cutting concerns.

We are looking to speak to candidates who are based in New York City or Seattle for our hybrid working model.

Responsibilities

• Own the product direction, roadmap, and execution plan for MongoDB’s replication and storage engine layers, ensuring we continue to deliver rock-solid durability, availability, and performance for mission-critical workloads
• Define the long-term roadmap for the storage engine (WiredTiger), balancing architectural investments against near-term escalation pressure
• Define and track measurable service-level objectives (SLOs) for replication lag, failover time, storage engine health and predictability, and customer data durability
• Distill ambiguous customer pain (e.g. "the system falls over" or "we see intermittent latency spikes") into actionable, scoped priorities for Storage Engines. Frame work in customer-outcome terms so the team can spot gaps independently
• Lead high-stakes escalations, coordinating with Support and engineering to resolve issues and reduce churn risk
• Drive improvements to the replication protocol, including elections, consensus, failover, read/write concern semantics, and distributed transaction consistency
• Own product direction for oplog, initial sync, elections, rollback, and replica set configuration
• Maintain clear ownership boundaries with the Storage Execution Product Manager
• Enable Sales, Support, Customer Success, and Product Marketing as the subject-matter expert for replication and storage engine reliability
• Partner with engineering leadership on quarterly planning, technical strategy, and project scoping

Requirements

• You can take a messy customer problem and turn it into something an engineering team can act on. When someone reports "intermittent latency spikes," you know how to dig in, ask the right questions, and trace it back to a root cause
• You are strong technically. You understand how distributed systems work, how databases store and replicate data, and you can hold your own in a room full of highly technical engineers
• You have a track record of making decisions and shipping in complex technical environments, not just analyzing
• You collaborate well with highly empowered engineering teams. This role influences through clarity and conviction, not authority
• You have experience working directly with enterprise customers on technical solutions
• You communicate complex concepts in a manner that is easily understood by multiple audiences, from deep-stack engineers to field teams to customers

Bonus Points

• Experience with replication protocols, distributed consensus, storage engines, or other core database internals (B-tree engines, write-ahead logging, cache management)
• Experience managing products where the end user has no direct visibility into the component. You're used to being the bridge between customer experience and deeply internal systems behavior
• A track record of handling complex customer escalations and turning them into product improvements
• 5 or more years of experience in product management or a deeply technical customer-facing role

Scope of Ownership

This role spans two major areas of MongoDB's core server: 

• Replication: the replication protocol (elections, rollback, heartbeats), replica set configuration, oplog, read/write concern, startup recovery, distributed transactions, initial sync, etc
• Storage Engines: WiredTiger and the encrypted storage engine, durability guarantees, memory management (cache sizing, eviction), checkpointing and journaling, timestamp-based data visibility rules, and data validation, repair, and recovery tools, spanning multiple sub-teams within the Storage Engines organization

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req. ID: 1273421116

The Team

Platform Engineering is the department within SRE that is responsible for a range of critical infrastructure and operational functions that support the broader engineering organization. Among these are our multi-cloud-provider Kubernetes infrastructure, networking, load balancing (including our public-facing edge and internal service mesh), and observability and alerting systems.

The Fleet Management team provides the core runtime environment that empowers our developers to build and ship products to delight our customers. We manage the end-to-end lifecycle of our Kubernetes fleet, alongside the critical components that ensure cluster reliability and security (e.g., CoreDNS, cert-manager, and Gatekeeper). As our infrastructure scales to support new use cases and products, we are spearheading a migration from Terraform-based Infrastructure as Code (IaC) to an Operator-driven lifecycle management model.

This role can be based out of our Austin, Boston, Los Angeles, New York City, Raleigh, or San Francisco offices, remotely in the United States region, or our European office in Dublin.

Responsibilities

• Contribute to developing and maintaining a scalable and secure runtime environment on top of Kubernetes that supports product needs across MongoDB
• Provide internal support for our Kubernetes ecosystem, partnering with engineering teams to help them solve domain-specific problems
• Participate in a 24/7 on-call rotation to resolve critical issues
• Prioritize blameless post-mortems and dedicate engineering time to systemic fixes, ensuring you aren’t paged for the same issue twice

You may be a good fit if you

• Have 6+ years of experience in software development and operating distributed systems
• Are proficient in Go, Python, or a similar language, with a strong commitment to code quality and testing practices (writing unit, integration, and E2E tests)
• Have deep experience using and extending containerization technologies, preferably Kubernetes
• Have a solid understanding of Linux operating system internals and networking concepts (e.g., filesystems, TCP/IP, DNS, TLS)
• Possess a customer focused mindset, treating internal developers as your primary users
• Have strong operational ownership, including a track record of debugging complex production issues and driving them to resolution
• Prefer automation over manual processes ("allergic to ops work")
• We are a small team of software engineers with a strong bias toward building software solutions to eliminate toil

Strong candidates may also have experience with

• Designing and implementing secure, multi-tenant runtime environments from first principles
• Proficiency with Kubernetes ecosystem tools such as Helm, Kustomize, Gatekeeper, Kyverno, and CRDs/Operators, CRI, CSI
• Expertise in cloud infrastructure platforms, including AWS, GCP, or Azure
• Proficiency in provisioning infrastructure using tools like Terraform, Crossplane, and AWS Controllers for Kubernetes (ACK)
• Advanced Linux systems internals and networking concepts specifically relevant to containers, such as namespaces and cgroups

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426182

ABOUT THE TEAM 

To empower Anduril's Talent Acquisition team, hiring managers, and interviewers with the essential knowledge, skills, and resources needed to consistently attract, assess, and hire top-tier talent. This role is critical for driving measurable improvements in recruiting effectiveness, hiring quality, and overall efficiency across the entire hiring lifecycle.

ABOUT THE JOB 

As Talent Enablement Program Manager, you will design, implement, and optimize critical programs and resources that empower our recruiters and hiring managers to scale talent efficiently, compliantly, and with high quality. The right person for this role has a strong background in learning & development, process optimization, thrives in a fast-paced environment and change management within a talent acquisition or HR context. If you are someone who can translate complex processes into clear, actionable playbooks, drive measurable increases in recruiter effectiveness and hiring manager confidence, and consistently reduce operational overhead through enablement strategies, then this role is for you.

WHAT YOU’LL DO 

• Enhanced Recruiter Proficiency: Proactively identify training and resource gaps within the end-to-end applicant lifecycle through performance analysis and feedback. Then, design and deliver comprehensive training programs (e.g., advanced sourcing strategies, interviewing techniques, ATS proficiency, offer negotiation) that measurably enhance recruiter skills, efficiency, and their ability to successfully guide candidates through every stage of the hiring process.
• Effective Hiring Manager & Interviewer Training: Create and implement scalable learning paths, training and resources for hiring managers and interviewers, ensuring they are equipped with the skills for structured interviewing, effective assessment, and an outstanding candidate experience, leading to improved quality of hire.
• Robust Knowledge Management: Establish and maintain an easily accessible and up-to-date knowledge management system (e.g., playbooks, guides, templates, FAQs) that serves as a single source of truth for TA processes and best practices.
• Continuous Learning & Development: Foster a culture of continuous learning by facilitating workshops, brown bags, and other initiatives that keep the recruiting organization current on industry trends and best practices.
• Seamless Tool Adoption: Collaborate with the Systems Senior Manager to ensure effective training and smooth adoption of new TA tools and system updates, maximizing their utility and ROI.
• Impact Measurement: Define metrics and conduct evaluations to assess the effectiveness and impact of enablement programs, using feedback and data to drive continuous improvement and demonstrate value.

REQUIRED QUALIFICATIONS 

• Bachelor's degree in Human Resources, Organizational Development, Education, or a related field.
• 5+ years of experience in talent acquisition, HR training, or enablement roles, with a focus on adult learning principles and program management.
• Self-starter with proven ability to design, develop, and deliver engaging and effective training content for diverse audiences (recruiters, hiring managers).
• Strong understanding of UX/UI principles, HR as a Product, PMP, Six Sigma, and other program management areas.
• Strong project management skills, capable of managing multiple learning initiatives from conception to evaluation.
• Excellent communication, presentation, and facilitation skills.
• Experience with various learning methodologies, instructional design, and learning management systems (LMS).
• Analytical mindset with the ability to measure program effectiveness and derive insights for improvement.
• Experience working in a hyper growth, fast-paced, and outcomes focused environment.
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Certification in Project Management (e.g., PMP, Agile), Instructional Design (e.g., CPTD), or HR (e.g., SHRM-CP, PHR).
• Experience with e-learning development tools and multimedia content creation.
• Background in a fast-paced technology or defense environment with high-volume recruiting.

The Role

Join us in revolutionizing the financial 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 Trust org leads the path for building platform services, and governance initiatives — from integrating diverse data sources into governance tools to evolving the foundational architecture that supports SoFi’s long-term growth

Data Trust’s charter includes

• Development and management of the Unified Data Catalog and Discovery Tools
• Ownership and other metadata associated with the Catalog
• Lineage and retention policies
• Data Quality Strategy and Standardization (Tiered Ownership, SLOs)
• Enforce regulatory compliance and privacy across data
• Data Governance enforcement and tooling (Data Contracts, RBAC mechanisms).
• Building self-service tools for Data Owners and Data Engineers.

What You’ll Do

As an emerging leader within our team, you will focus on building out the backend services for our next-generation metadata architecture. This role involves full product lifecycle engagement, from initial concept to deployment.

Key responsibilities for this role 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.
• Leading the technical evolution of one or more key platform subsystems.
• 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 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, Python 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).
• Experience working with Data Platforms

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.

Two Chairs is building a new kind of mental health system based on the idea that the status quo isn’t good enough. Industry-best clinician experiences, better client outcomes, groundbreaking innovation, and access to the highest quality care are how we’ll raise the bar for the entire industry. With that, we're excited and honored to have been recognized as a 2025 Great Place to Work and 2025 Fortune’s Best Workplaces in Healthcare.

One of our company values is "Embrace Differences" and diversity, equity, inclusion, and belonging are the principles guiding how we build our business and teams. We encourage interested candidates from all backgrounds to apply, even if you don't think they meet some expectations of the role.

Why Choose Two Chairs?

• Consistent Pay: Earn a clinical rate of $76/hour (includes mandatory training) and an administrative rate (includes late shows/cancellations) of $23/hour as a WA resident with semi-monthly pay. If based out-of-state clinical rates will range between $58.50 - $85.
• Balanced Caseloads and Schedules: Select a weekly caseload ranging from 7 to 20 clients, with session availability between 7:00 a.m. to 9:00 p.m. PST, Monday through Friday.
• Support for Wellness & Professional Growth: We provide a wellness and professional development stipend (up to $300 annually), case consultation, free CE credits through monthly APA-accredited courses, Psych Hub membership, and wellness events to support your growth.
• Additional W-2 advantages you won’t find with 1099 contract work:
  • No tax headaches – We handle withholdings and filings, so you don’t have to
  • Earn paid sick time – Accrue up to 80 hours per year
  • Merit-based raises – Be recognized and rewarded for your contributions
  • Retirement benefits – Access an employer-sponsored 401(k) plan 
  • Malpractice insurance provided – Full coverage at no cost to you

About the Role

• Deliver remote, evidence-based therapy to adult clients (18+), practicing modalities like CBT, DBT, ACT, MBCT, TLDP, IPT, EFT, and MI.
• Maintain a caseload of 7-20 attended ongoing therapy and consult sessions per week 
• Use data to drive effective treatment and adjust your approach based on client progress
• Collaborate with other mental health providers as needed and refer clients when appropriate
• Maintain progress notes and documentation in compliance with HIPAA and state regulations
  
  

Requirements

• License: Active license and in good standing as a LICSW, LMFT, LMHC, or Psychologist (PhD or PsyD) in Washington
• Cross-licensure: Willing and motivated to become licensed in other states. We will cover the cost. 
• Caseload: Available for 8-24 hours per week, with 85% of time in client sessions. Sessions will include ongoing therapy and new client consults appointments. 
• Experience: 2+ years of clinical experience with adults (18+), at least six months of teletherapy experience, and proficient with clinical assessments (e.g., PHQ-9) for tracking client progress
• Tech: At least six months of teletherapy experience and experience with electronic health record (EHR) systems
• Schedule: Select 7-10 session hours between 8am and 9pm PST, Monday through Friday. Available during regular business hours for a minimum of 1 hour per week during the first 6 weeks for training, followed by 30 minutes per month for ongoing support.
• Documentation: All documentation to be completed, signed, and locked in EMR within 48 hours of client contact. Option to use an AI-assist tool.

What to Expect: Our Interview Process 

• Application Review: We’ll promptly review your application to ensure you meet the minimum qualifications 
• Recruiter Interview: 45-minute phone interview  with one of our Clinical Recruiters
• Clinical Interview: 45-minute video interview with one of our Clinical Managers 
• Offer: If all goes well, you’ll receive an offer to join our team! 
• Expected Interview Timeline: The entire process typically takes 2 weeks
  
  

Important Notes: 

• Please stay alert for job scams: All communication will come from official Two Chairs email domains (@twochairs.com or @twochairscareers.com). See tips from the FTC to avoid job scams: https://www.consumeraffairs.com/news/ftc-offers-tips-on-avoiding-job-scams-041321.html

#LI-REMOTE 

Recruiting at Brex

Recruiting is where every career at Brex begins. We’re the first point of connection for future builders and leaders, helping candidates see what’s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don’t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.

What you’ll do

This role is responsible for partnering with hiring managers and technical leaders to define team needs and role requirements, ensuring alignment on hiring goals. It involves sourcing, engaging, and assessing candidates through diverse channels, while managing the full recruitment cycle from outreach to onboarding. The position also focuses on creating strategies to attract and retain diverse technical talent, proactively building pipelines for present and future needs. Additionally, the recruiter will track and analyze key hiring metrics to improve processes, collaborate with cross-functional teams to maintain fairness and efficiency, and champion Brex’s employer brand by representing the company at events and on social platforms.

Where you’ll work

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

Responsibilities

• ​​Lead sourcing and outreach efforts for technical roles, leveraging various tools and social platforms.
• Screen and evaluate candidate qualifications, technical skills, and cultural alignment.
• Coordinate and facilitate interview processes, ensuring a positive and efficient experience for both candidates and interviewers.
• Provide regular updates and insights to hiring managers and stakeholders on pipeline health and recruiting progress.
• Maintain accurate and up-to-date candidate data in recruiting systems and dashboards.
• Contribute to continuous improvement of recruiting processes, tools, and candidate experience.
• Partner directly with Hiring Managers to drive hiring initiatives critical to building Brex's Engineering team.
• Focus on attracting and evaluating top engineering talent with meaningful AI experience with strong core technical skills.

Requirements

• Proven experience recruiting for technical roles (e.g., software engineering, data, product) in a fast-paced, high-growth environment.
• Strong sourcing skills and familiarity with modern recruiting tools and platforms.
• Excellent communication, relationship-building, and stakeholder management abilities.
• Data-driven mindset with the ability to interpret recruiting metrics and make process improvements.
• Commitment to diversity, equity, and inclusion in all aspects of recruiting.
• Ability to manage multiple searches and priorities simultaneously.

Bonus points

• Experience recruiting across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with compensation strategy and market analysis for technical roles.
• Prior experience in employer branding or talent marketing initiatives

Compensation

The expected salary range for this role is CA$126,000–$173,000.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Recruiting at Brex

Recruiting is where every career at Brex begins. We’re the first point of connection for future builders and leaders, helping candidates see what’s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don’t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.

What you’ll do

This role is responsible for partnering with hiring managers and technical leaders to define team needs and role requirements, ensuring alignment on hiring goals. It involves sourcing, engaging, and assessing candidates through diverse channels, while managing the full recruitment cycle from outreach to onboarding. The position also focuses on creating strategies to attract and retain diverse technical talent, proactively building pipelines for present and future needs. Additionally, the recruiter will track and analyze key hiring metrics to improve processes, collaborate with cross-functional teams to maintain fairness and efficiency, and champion Brex’s employer brand by representing the company at events and on social platforms.

Where you’ll work

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

Responsibilities

• ​​Lead sourcing and outreach efforts for technical roles, leveraging various tools and social platforms.
• Screen and evaluate candidate qualifications, technical skills, and cultural alignment.
• Coordinate and facilitate interview processes, ensuring a positive and efficient experience for both candidates and interviewers.
• Provide regular updates and insights to hiring managers and stakeholders on pipeline health and recruiting progress.
• Maintain accurate and up-to-date candidate data in recruiting systems and dashboards.
• Contribute to continuous improvement of recruiting processes, tools, and candidate experience.
• Partner directly with Hiring Managers to drive hiring initiatives critical to building Brex's Engineering team.
• Focus on attracting and evaluating top engineering talent with meaningful AI experience with strong core technical skills.

Requirements

• Proven experience recruiting for technical roles (e.g., software engineering, data, product) in a fast-paced, high-growth environment.
• Strong sourcing skills and familiarity with modern recruiting tools and platforms.
• Excellent communication, relationship-building, and stakeholder management abilities.
• Data-driven mindset with the ability to interpret recruiting metrics and make process improvements.
• Commitment to diversity, equity, and inclusion in all aspects of recruiting.
• Ability to manage multiple searches and priorities simultaneously.

Bonus points

• Experience recruiting across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with compensation strategy and market analysis for technical roles.
• Prior experience in employer branding or talent marketing initiatives

Compensation

The expected salary range for this role is $142,380-$195,490.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Recruiting at Brex

Recruiting is where every career at Brex begins. We’re the first point of connection for future builders and leaders, helping candidates see what’s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don’t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.

What you’ll do

This role is responsible for partnering with hiring managers and technical leaders to define team needs and role requirements, ensuring alignment on hiring goals. It involves sourcing, engaging, and assessing candidates through diverse channels, while managing the full recruitment cycle from outreach to onboarding. The position also focuses on creating strategies to attract and retain diverse technical talent, proactively building pipelines for present and future needs. Additionally, the recruiter will track and analyze key hiring metrics to improve processes, collaborate with cross-functional teams to maintain fairness and efficiency, and champion Brex’s employer brand by representing the company at events and on social platforms.

Where you’ll work

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

Responsibilities

• ​​Lead sourcing and outreach efforts for technical roles, leveraging various tools and social platforms.
• Screen and evaluate candidate qualifications, technical skills, and cultural alignment.
• Coordinate and facilitate interview processes, ensuring a positive and efficient experience for both candidates and interviewers.
• Provide regular updates and insights to hiring managers and stakeholders on pipeline health and recruiting progress.
• Maintain accurate and up-to-date candidate data in recruiting systems and dashboards.
• Contribute to continuous improvement of recruiting processes, tools, and candidate experience.
• Partner directly with Hiring Managers to drive hiring initiatives critical to building Brex's Engineering team.
• Focus on attracting and evaluating top engineering talent with meaningful AI experience with strong core technical skills.

Requirements

• Proven experience recruiting for technical roles (e.g., software engineering, data, product) in a fast-paced, high-growth environment.
• Strong sourcing skills and familiarity with modern recruiting tools and platforms.
• Excellent communication, relationship-building, and stakeholder management abilities.
• Data-driven mindset with the ability to interpret recruiting metrics and make process improvements.
• Commitment to diversity, equity, and inclusion in all aspects of recruiting.
• Ability to manage multiple searches and priorities simultaneously.

Bonus points

• Experience recruiting across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with compensation strategy and market analysis for technical roles.
• Prior experience in employer branding or talent marketing initiatives

Compensation

The expected salary range for this role is $142,380-$195,490.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

Recruiting at Brex

Recruiting is where every career at Brex begins. We’re the first point of connection for future builders and leaders, helping candidates see what’s possible. We partner with leaders across the company to find exceptional talent and build high-performing teams. We move quickly, think strategically, and take pride in creating a thoughtful, welcoming candidate experience from the very first contact. We don’t just fill roles, we shape the culture at Brex, finding the next generation of builders and leaders.

What you’ll do

This role is responsible for partnering with hiring managers and technical leaders to define team needs and role requirements, ensuring alignment on hiring goals. It involves sourcing, engaging, and assessing candidates through diverse channels, while managing the full recruitment cycle from outreach to onboarding. The position also focuses on creating strategies to attract and retain diverse technical talent, proactively building pipelines for present and future needs. Additionally, the recruiter will track and analyze key hiring metrics to improve processes, collaborate with cross-functional teams to maintain fairness and efficiency, and champion Brex’s employer brand by representing the company at events and on social platforms.

Where you’ll work

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

Responsibilities

• ​​Lead sourcing and outreach efforts for technical roles, leveraging various tools and social platforms.
• Screen and evaluate candidate qualifications, technical skills, and cultural alignment.
• Coordinate and facilitate interview processes, ensuring a positive and efficient experience for both candidates and interviewers.
• Provide regular updates and insights to hiring managers and stakeholders on pipeline health and recruiting progress.
• Maintain accurate and up-to-date candidate data in recruiting systems and dashboards.
• Contribute to continuous improvement of recruiting processes, tools, and candidate experience.
• Partner directly with Hiring Managers to drive hiring initiatives critical to building Brex's Engineering team.
• Focus on attracting and evaluating top engineering talent with meaningful AI experience with strong core technical skills.

Requirements

• Proven experience recruiting for technical roles (e.g., software engineering, data, product) in a fast-paced, high-growth environment.
• Strong sourcing skills and familiarity with modern recruiting tools and platforms.
• Excellent communication, relationship-building, and stakeholder management abilities.
• Data-driven mindset with the ability to interpret recruiting metrics and make process improvements.
• Commitment to diversity, equity, and inclusion in all aspects of recruiting.
• Ability to manage multiple searches and priorities simultaneously.

Bonus points

• Experience recruiting across multiple geographies (e.g., US, Canada, LATAM).
• Familiarity with compensation strategy and market analysis for technical roles.
• Prior experience in employer branding or talent marketing initiatives

Compensation

The expected salary range for this role is $142,380-$195,490.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

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

The Role

We are seeking a Senior Frontend Mobile Engineer to join our team. SoFi Invest is SoFi’s new investment platform that includes our market-leading robo-advisor, and online brokerage (stock, ETF, and mutual funds trading) products.

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 are redefining how members grow their wealth through algorithmic trading and AI. You will build the interfaces that millions of our members use to build and invest in automated trading strategies — bringing "quant-grade" tools to the everyday investor. 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

• Produce well-designed, scalable, and reusable code on schedule
• Independently design and build large features, breaking work into subtasks where necessary
• Maintain a high bar in code and design reviews, following modern mobile development practices
• Drive communication across the development team and with other stakeholders
• Collaborate across functions and teams to reduce ambiguity and keep projects on track
• Track project performance against defined milestones/goals
• Mentor junior engineers throughout the organization
• Create and improve technical documentation

Requirements

• Bachelor’s degree (ideally in a technical field), but we understand great engineers come from a variety of backgrounds; we will also consider relevant work experience
• 5+ years mobile programming experience (Flutter strongly preferred)
• Familiarity with Agile-based project development in a microservices environment
• Experience with designing and consuming backend APIs for mobile applications
• Test-driven development skills
• Passion for solving complex problems
• Strong sense of responsibility; driving a project from inception to completion
• Affinity for solving problems and shipping impactful features, not polishing perfect code or architecture
• Experience working in a collaborative coding environment (and git specifically), refining designs together, working through code reviews and managing pull requests
• Able to design and build modern and highly-responsive customer-facing components
• Nice to have: experience working in Fintech and/or financial services sector

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our soluions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

The Role

At Square, we’re re-imagining how small and midsize businesses grow. As a Senior Sales Account Executive on our Outbound Team, you’ll bring Square’s ecosystem to new sellers across diverse industries by building, shaping, and closing your own pipeline. You’ll run sophisticated, multi-product deals from the first touch to final close — blending hunter instincts, consultative depth, and strategic execution.

If you’re an experienced closer who thrives in outbound environments, loves solving meaningful business challenges, and consistently delivers against ambitious targets — this is your role.

You Will

• Own the full outbound sales cycle — from prospecting to negotiation to close — with SMB and mid-market merchants.
• Build and manage a high-quality pipeline through cold outreach, social selling, targeted campaigns, and creative outbound strategies.
• Develop multi-product solutions across Square’s ecosystem and tailor them to each merchant’s unique needs.
• Partner with Business Development on lead flow while independently driving net-new logo acquisition.
• Conduct high-impact discovery, demos, and negotiations with decisiveness across multi-stakeholder deals.
• Act as a consultant and trusted advisor — seamlessly flexing across BDR, AE, and AM responsibilities when needed.
• Collaborate cross-functionally with Product, Marketing, Implementation, and Operations to deliver cohesive solutions.
• Maintain disciplined pipeline management and forecasting accuracy in Salesforce.
• Consistently hit and exceed revenue goals — monthly and quarterly.
  
  

You Have

• 3+ years of full-cycle B2B sales experience with consistent quota achievement.
• Proven success in outbound prospecting and net-new business creation (SaaS or fintech preferred).
• Experience closing complex, multi-threaded deals with longer sales cycles.
• Ability to build pipeline from scratch using targeted, strategic outreach.
• Exceptional communication, presentation, and negotiation skills across phone, video, and written channels.
• Strong consultative selling skills — diagnose business challenges and map tailored solutions.
• A hunter’s mindset — resilient, creative, and driven to win.
• Ability to work independently while contributing to a team-first environment.
• Advanced proficiency with Salesforce and modern sales tools.
• BA/BS degree or equivalent experience.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

While there is no specific deadline to apply for this role, U.S. roles are typically open for an average of 55 days before being filled by a successful candidate. Please refer to the date listed at the top of this job page for when this role was first posted.

Pay Transparency

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A: ($156,200 - $234,200)

Zone B: ($145,200 - $217,800)

Zone C: ($137,400 - $206,200)

Zone D: ($129,600 - $194,400)

Amounts listed above include target variable compensation.

Since we opened our doors in 2009, the world of commerce has evolved immensely, and so has Square. After enabling anyone to take payments and never miss a sale, we saw sellers stymied by disparate, outmoded products and tools that wouldn’t work together.

So we expanded into software and started building integrated, omnichannel solutions – to help sellers sell online, manage inventory, offer buy now, pay later functionality, book appointments, engage loyal buyers, and hire and pay staff. Across it all, we’ve embedded financial services tools at the point of sale, so merchants can access a business loan and manage their cash flow in one place. Afterpay furthers our goal to provide omnichannel tools that unlock meaningful value and growth, enabling sellers to capture the next generation shopper, increase order sizes, and compete at a larger scale.

Today, we are a partner to sellers of all sizes – large, enterprise-scale businesses with complex operations, sellers just starting, as well as merchants who began selling with Square and have grown larger over time. As our sellers grow, so do our solutions. There is a massive opportunity in front of us. We’re building a significant, meaningful, and lasting business, and we are helping sellers worldwide do the same.

The Role

Square is looking for a tenured Account Executive with a strong new logo sales background and self-starter disposition to join our Outbound Sales Team. This role works with restaurant owners specifically, emphasis on Small/Mid-sized businesses. You will create your own outbound strategy while working with the Business Development team to build a book of business. You will be expected to source leads, cold call and email them to generate interest and close deals selling our Square ecosystem to prospective merchants. This role requires excellent communication skills, diligence, and a strong ability to build rapport with prospects to negotiate and close complex deals.

You Will

• Understand the business and technology needs of a merchant to execute a sales motion using a consultative approach
• Conduct prospecting, discovery calls, demos and develop a solution with first and third party offerings that best meets the prospect's needs
• As needed, go into the field to build strong relationships and increase win rates
• Deliver a predictable, repeatable and scalable outbound sales process to fill your pipeline and close deals (prospecting activities include:, cold calling, cold emailing, social selling, etc.)
• Partner with our Business Development Team to convert and close cold, outbound leads
• Lead the charge introducing Square to all merchants in the restaurant vertical
• Oversee the sales cycle from prospect to close and partner with other teams to ensure successful onboarding
• Achieve and exceed monthly sales goals and key performance indicators (KPIs) through proactive outbound sales efforts
• Partner with Product and Marketing teams to ensure our solutions meet the needs of the market
• Use your prior sales experience to inform a creative go-to-market strategy
• Utilize Salesforce to track, monitor, and report on sales activities, pipeline status, and outcomes

You Have

• • 3+ years of sales experience in a full cycle closing role
  • A BA/BS degree or relevant experience
  • Demonstrated exceeding sales targets, selling a diverse ecosystem of products, and closing complex deals
  • The ability to drive deals independently in a fast-paced, dynamic environment
  • Business development experience (e.g. new logo sourcing and acquisition)
  • A collaborative and team player mentality
  • Prior Salesforce experience or equivalent

Pay Transparency

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future. To find a location's zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Zone A: ($156,200 - $234,200)

Zone B: ($145,200 - $217,800)

Zone C: ($137,400 - $206,200)

Zone D: ($129,600 - $194,400)

Amounts listed above include target variable compensation.

We're working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we're doing to build a workplace that is fair and square? Check out our I+D page.

We are looking for a Staff Software Engineer to join our Engineering team.

What you’ll do:

• Architect resilient software components within a distributed Python and C environment (K8s, EKS, EC2, Lambda, RDS, etc). 
• Take full ownership for solving complex problems from inception to execution. 
• Drive team and organization strategy with minimal guidance, ensuring technical decisions directly support company goals.
• Proactively identify and resolve technical debt or process friction, simplifying the codebase and developer experience to improve team velocity.
• Coach and mentor engineers, to build a high-performance culture. Serve as a subject matter expert who remains approachable.
• Proactively communicate, identify and mitigate technical risks, navigating trade-offs between system constraints and business impact. 
• Build trust with functional leaders and stakeholders, communicating highly technical concepts into clear dialogue to gain alignment on priorities.
• Work with Python and C applications  to resolve wide-ranging issues, and drive feature implementation. 

What you’ll need:

• Bachelor's Degree in Computer Science or related field.
• 6+ years programming experience, ideally on a modern stack.
• Experience: 4+ years of experience writing high-quality, production-grade Python.
• Hands-on experience with Continuous Delivery principles and techniques, including unit testing and build & deploy pipelines.
• Ability to lead and influence a team's technical direction.
• Hands-on experience with AWS or similar cloud technologies (RDS, Aurora, Dynamo, EKS, or Lambda) and Kubernetes.
• Demonstrated ability to design resilient software components within a distributed system.
  
  

Nice to have:

• Familiarity with Python Flask and/or FastAPI frameworks.
• Experience developing in C.
• Domain knowledge in Payment Systems or financial tech.
  
  

As a Contract Senior Technical Sourcer, you will be a key partner in scaling our technical teams during a critical phase of growth. You’ll work closely with recruiters and hiring leaders to build high-impact sourcing strategies, engage top-tier talent, and ensure a strong, mission-aligned candidate pipeline.

This position is based in Seattle with an expectation of 4 days per week in-office.

What you’ll do:

• Design and execute strategic sourcing initiatives across our most important software engineering roles
• Partner closely with recruiters and hiring managers to develop tailored sourcing strategies
• Conduct in-depth candidate screens, evaluating technical capabilities, problem-solving ability, and alignment with company mission and stage
• Use market insights and talent mapping to inform hiring strategy and improve pipeline quality
• Support broader recruiting initiatives and contribute to process improvements as the company scales

Knowledge, Skills, and Abilities for Success:

• 5+ years of technical sourcing or recruiting experience
• Demonstrated success sourcing for high caliber, Sr. Software Engineers in high growth startups
• Proven ability to think strategically about talent pipelines, not just execute outbound sourcing
• Hands-on experience with Greenhouse ATS and modern sourcing tools (LinkedIn Recruiter, GitHub, etc.) 
• Excellent communication and stakeholder partnership skills
• Ability to thrive in a fast-paced, highly collaborative, in-office environment

About the role:

At Headway, we’re building the largest national network of therapists who accept insurance — and making mental healthcare radically more accessible in the process. Our ability to serve patients starts with providers. As Director of Product for Provider Growth, you’ll lead the product vision, strategy, and execution for how we attract, onboard, and activate providers on Headway. 

Your mission is to grow the number of active providers on Headway by delivering a seamless, delightful onboarding and activation experience and by building high-impact growth channels. You’ll lead cross-functional teams responsible for critical surfaces across the provider funnel, including leads forms intakes, credentialing, onboarding, and referrals programs. You’ll also drive new product surfaces and big bets that tie into long-tail growth opportunities, like growing Group Practices. 

Provider growth is one of Headway’s most important levers for scaling access to affordable mental healthcare. Whether it's building a world-class referrals engine, optimizing conversion through onboarding, or laying the groundwork for future market expansion, this role is at the heart of Headway’s growth story — and critical to advancing our mission. This is a pivotal role for both Headway and our mission to make mental healthcare more accessible.

What you’ll do at Headway:

• Own the vision and strategy for provider growth — balancing bold bets with near-term impact to increase the number of new activated providers.
• Collaborate deeply with cross-functional teams — design, engineering, data, operations, GTM — to learn fast, ship often, and deliver meaningful outcomes.
• Lead and scale a team of PMs focused on improving conversion through onboarding, referrals, and provider activation flows.
• Use data and design to optimize the onboarding journey and improve conversion, provider experience, and overall efficiency.
• Stay close to providers and the market, using insights, data, and feedback to inform product strategy and prioritization.
• Be a strategic thought partner across the company on growth, activation, and provider experience.

You’ll be great for this role if you:

• Are a growth-minded product leader with 8+ years of experience driving measurable business impact through product innovation, with at least 4 years managing PMs.
• Have experience with B2B2C or platform products, ideally in a growth, marketplace, or onboarding-focused role.
• Are a strategic thinker who can zoom in and out — balancing long-term vision with near-term execution, and being honest about what matters most.
• Love digging into customer insights, data, and operational realities to shape your strategy.
• Thrive in ambiguous, fast-paced environments and excel at bringing clarity, focus, and momentum.
• Are a motivational leader who knows how to build high-performing teams and influence cross-functional stakeholders.
• Care deeply about delivering meaningful impact — for providers, patients, and Headway’s mission.

Compensation and Benefits:

The expected base pay range for this position is $249,600 - $312,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for an equity grant, depending on the position and level.

• Benefits offered include:
• Equity Compensation
• Medical, Dental, and Vision coverage
• HSA / FSA
• 401K
• Work-from-Home Stipend
• Therapy Reimbursement
• 16-week parental leave for eligible employees
• Carrot Fertility annual reimbursement and membership
• 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st
• Flexible PTO
• Employee Assistance Program (EAP)
• Training and professional development

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