About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

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

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

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

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

California Salary Range: $170,000 - $230,000 (80/20 split)

About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

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

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

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

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

California Salary Range: $170,000 - $230,000 (80/20 split)

The Problems You'll Solve

At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow.  As a Senior Site Reliability Engineer, you’ll work to: 

• Build and scale our internal  platform offerings (compute, storage and networking services) to ensure the reliability, and performance of our applications.
• Design and implement monitoring, alerting, and incident response systems.
• Collaborate with application software engineers (as needed) to guide their design and ensure it scales for what Carta needs in the long run.
• Act as an agent of change and push boundaries to incrementally improve our systems as we expand globally.

The Team You'll Work With

You’ll be joining the Infrastructure Engineering team at Carta. The Infrastructure Engineering team is responsible for providing secure, reliable, scalable and performant infrastructure to Carta’s customers and developers.

We are Software and Infrastructure Engineers who specialize in cloud computing, networking, systems design and architecture, storage, real time data telemetry, associated automation, tooling and processes. We possess a breadth and depth of knowledge about Carta’s infrastructure and industry wide best practices, that translates into leverage for Carta’s business.

About You

You are excited by the idea of developing scalable, reliable and efficient infrastructure that powers the entire company. We’re looking for strong communicators who enjoy collaborating to solve complex problems. Familiarity with infrastructure best practices on performance, reliability and security and their associated tools is appreciated. 

Our stack is Python, Java, Terraform, gRPC, Docker, Kubernetes, Postgres, running on AWS. Come join us! 

• Cloud Platforms: Extensive experience with cloud services such as AWS, Google Cloud Platform, or Azure, including services like EC2, S3, RDS, and Lambda. Experience with Kubernetes or other container orchestration is preferred!
• Infrastructure as Code (IaC): Proficient in using tools such as Terraform, Ansible, or CloudFormation for managing and provisioning cloud infrastructure.
• Networking: Experience with networking concepts and tools, including Container Network Interface (CNI), Network policy implementations. Experience with proxies and service mesh is a big plus. 
• Monitoring and Observability: Strong knowledge of monitoring tools and practices, such as Prometheus, Grafana, ELK Stack, or Datadog, and the ability to set up and maintain comprehensive monitoring solutions.
• Software Development: Proficiency in Python, with the ability to write efficient, maintainable, and scalable code.
• API Services: Experience in designing, deploying, and maintaining API services, with a strong understanding of RESTful and/or GraphQL API design principles.
• AI Fluency: You use AI tools in your own day-to-day work in addition to enabling others. You're comfortable building agents to reduce toil and expect this to be a normal part of how you operate.
• Experience operating CI/CD and its associated best practices is also appreciated though not essential.

Salary

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

• $181,688 - $213,750 in Seattle, WA
• $191,250 - $225,000 in Santa Clara, CA  or San Francisco, CA

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

Our team is seeking a talented and versatile Full Stack Software Engineer responsible for building and maintaining essential tools and automations which allow our diverse aerospace engineering teams to be efficient while remaining compliant to external and internal process standards. You'll be working directly with data used to define, test, configure aviation systems and aircraft flight testing, leveraging DevOps best practices.

What You'll Do

Develop Full-Stack Web Applications and Integration Tools: Design, build, and maintain modern Typescript, Javascript and Go applications to assist with testing, data capture, and config management of our aircraft. This work will span web applications, web APIs and desktop environments, initially focused on the management of airplane system test lab configurations.Identify Gaps in Processes and Workflows: Use existing vehicle development knowledge and previous experience to identify new tooling and application needs, as well as optimize or refactor existing toolchains and integrations

• Build for Reliability: Ensure the infrastructure and tooling you create are scalable, reliable, and easy to maintain. Document your work and champion best practices across the engineering organization.
• Collaborate Cross-Functionally: Work closely with hardware engineers, embedded software developers, and integration / lab teams to understand their requirements and build the tools they need to succeed.

Required Qualifications

• Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.
• 5+ years of professional software development experience, with a strong emphasis on tooling, automation, or DevOps.
• 2+ years of software tool development experience in the Aerospace industry
• Experience with front-end development (e.g. using Typescript / React)
• Experience with back-end development (e.g. using Node Express or Gin)
• Strong ability with relational databases and schema design (e.g using postgres)
• A strong foundation in software development best practices, including version control (Git), code reviews, and testing.

Preferred Qualifications

• Familiarity with GraphQL and GraphQL backend engines (bonus for Hasura)
• Experience with modern React/TypeScript frontend libraries (e.g. Flowbite-React, PrimeReact )
• Proficient in writing and maintaining automated tests using frameworks (e.g. Jest, React Testing Library)
• Demonstrable experience designing, building, and maintaining Tailwind CSS Web Interfaces
• Experience building RESTful APIs
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of hardware communication standards like CAN bus, ARINC-429, or RS-422.

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. We drive a pay-for-performance culture and reward performance that supports the Company’s business strategy. For this position we are targeting a base pay between $173,000 - $216,000. Actual compensation offered will be determined by factors such as job-related knowledge, skills, and experience.

We are an equal-opportunity employer committed to creating a diverse and inclusive workplace. All qualified applicants will receive equal consideration for employment without regard to race, color, creed, religion, sex, gender identity, sexual orientation, national origin, disability, uniform service, Veteran status, age, or any other protected characteristic per federal, state, or local law, including those with a criminal history, in a manner consistent with the requirements of applicable state and local laws.

Archer is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities, and those with sincerely held religious beliefs. Applicants who may require reasonable accommodation for any part of the application or hiring process should provide their name and contact information to Archer’s People Team at people@archer.com. Reasonable accommodations will be determined on a case-by-case basis.

The Role: 

Location: This role requires 2-3 days a week in office in San Francisco, CA.

Responsibilities:

Qualifications:

Preferred Skills (Nice-to-Have)

For residents of San Francisco, CA the annual salary range for this role is $168,000-$215,000 annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

The Mission

Panther is building the future of SOC automation through AI agents that fundamentally change how security teams operate. Our vision is to enable SOC teams to cover 5-10x more data without proportionally scaling headcount by automating the most time-intensive analyst work: alert triage, analysis, and risk validation. We're building intelligent agents that leverage our data pipeline and alerting capabilities to create a SOC team extension that gets smarter over time through collective intelligence.

The Team + Role

You'll build and lead Panther’s agentic team focused on AI-powered SOC analyst solutions that sit at the intersection of security and cutting-edge ML engineering. This is a customer-centric product engineering leadership role where you'll own the execution of our product roadmap, be the bridge between Engineering and Product Management, and you’ll build and lead the team through change alongside our customers, the industry and within the security domain. We're building autonomous security capabilities for alert triage, interactive chat, detection code generation, and text-to-search, all deeply integrated with Panther's ingestion pipeline. This role is ideal for a leader who combines strong people management skills and B2B product engineering experience within the security domain; SOC automation and XDR.

What You'll Need

• Leadership & People Management:
  • 5+ years of people management experience leading product engineering teams
  • Proven track record of hiring, developing, and retaining high-performing engineers
  • Experience managing cross-disciplinary teams and owning all aspects of people leadership
  • Strong partnership skills with recruiting teams to scale headcount effectively

• Business & Product Acumen:
  • Experience working in product-sales environments with direct customer exposure
  • Experience operating in ambiguous environments and making strategic decisions with incomplete information
  • Track record of owning the partnership between Product, Design and Engineering to define vision and roadmap
  • Experience owning user-facing product features from conception to delivery

• Technical Foundation:
  • Experience scaling a team focused on building agentic products and driving ai lead outcomes.
  • Technical depth to participate in architecture discussions and unblock teams on complex design decisions
  • AWS experience preferred (serverless architectures, cloud infrastructure)
  • Cybersecurity background is a nice-to-have but not required
  • Familiarity with modern engineering stacks (Golang, React, TypeScript, GraphQL) helpful

• Mindset:
  • Customer-obsessed: You understand that your team's integrations are the first experience customers have with Panther
  • Owner mentality: You take responsibility for outcomes, not just outputs
  • Team-focused: You prioritize team health, growth, and sustainability alongside delivery

What You'll Do

• • Lead and grow Panther's AI team — hire, develop, and retain engineers working at the intersection of security and AI, building the capabilities that will define Panther's next chapter as a mature AI SOC platform.
  • Own the AI team's delivery — drive execution of the roadmap across autonomous alert triage, interactive chat, detection code generation, and text-to-search, balancing velocity with technical quality.
  • Build Panther's SOAR capabilities using AI infrastructure — lead the team in developing a next-generation Security Orchestration, Automation, and Response solution that leverages Panther's AI infrastructure, MCP integrations, and AI policy framework to automate analyst workflows at scale.
  • Shape the AI SOC platform strategy — partner with Product and the Director of Engineering to define and evolve the roadmap across critical verticals: agentic triage, MCP-powered integrations, AI policies, and collective intelligence.
  • Drive technical direction without coding — participate actively in architecture discussions, challenge design decisions, unblock the team on complex problems, and raise the bar on how we build agentic systems, LLM pipelines, and security automation.
  • Operate with a security-first mindset — collaborate with the broader engineering org on reliability, on-call health, and security practices, ensuring AI features meet the trust and compliance standards Panther's customers expect.
  • Contribute to engineering-wide leadership — participate in hiring loops, share learnings across teams, and help shape how Panther builds and scales its engineering organization as we grow.

We believe in transparency throughout our process — including how we approach AI.

We recognize that AI tools can enhance productivity and support high-quality work. Candidates are welcome to use AI tools for assistance when preparing application materials and completing take-home assignments. If AI use is not permitted for a specific assessment, we will indicate that clearly in the instructions. During live interviews, we ask that candidates not use AI tools to generate or supply real-time answers. This includes reading from AI-generated responses or prompts during conversational, behavioral, or technical discussions. These conversations are designed to understand your individual thinking process, problem-solving approach, and ability to communicate your ideas.

We also use AI tools to support our recruiting processes; hiring decisions are made by our team, not AI.

Reasonable Accommodations
We are committed to providing equal opportunity to all candidates. If you require the use of an AI-based tool or any other assistive technology as a reasonable accommodation for a disability or medical condition, please notify us prior to your interview. We will engage in an interactive process to determine what arrangements are appropriate for your situation. Accommodation requests are handled individually and in accordance with applicable law.

About Panther

Panther makes security teams smarter and faster than attackers.

We're building the AI SOC platform that modern security teams need. Our Detection-as-Code approach, cloud-native architecture, and powerful security data lake help teams detect and respond to threats at scale. Security teams at leading companies use Panther to protect their organizations without the overhead and costs of legacy SIEM solutions.

Founded by security practitioners who lived the pain of protecting large organizations, we've raised $140M from Coatue, Lightspeed, ICONIQ Growth, Snowflake Ventures, and others. We're a global, remote-first company serving customers worldwide.

Our culture is built on flexibility, transparency, and collaboration. We operate by three core values: Create Customer Love, Be an Owner, and Take Care of the Team. We believe diverse perspectives make us better, and that building great security technology should also mean building a rewarding place to work.

The Perks

• Competitive equity in a well-established cybersecurity company
• Unlimited PTO with a 15-day minimum, plus local federal holidays
• Latest tech equipment and budget for your personalized setup
• Comprehensive health and benefits coverage
• Remote-first culture built for distributed teams

Panther Labs is an Equal Opportunity Employer. The Company prohibits discrimination and harassment on the basis of: race, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding), gender, gender identity, gender expression, sexual orientation, marital status, age, religious creed, physical disability, mental disability, genetic information, military or veteran status, or any other status protected by law. All employment decisions are decided on the basis of qualifications, merit, and business need.

The annual cash compensation target: $180,000-$250,000 depending on experience

Senior AI Data Engineer (Full-time)

Remote in CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Cortica is looking for a Senior AI Data Engineer to join its growing team!

The Senior AI Data Engineer will serve as both architect and builder of our data ecosystem. Every initiative will follow a complete engineering lifecycle: gathering stakeholder requirements, designing the solution, building and testing it, and shipping it to production. This role will work across data lakes, analytics pipelines, and lightweight application development— the multi-disciplinary data equivalent of a full-stack developer.

The Senior AI Data Engineer will work closely with the data science, finance, and clinical operations teams to design intelligent, automated data solutions that power care decisions, financial planning, and operational efficiency. AI augmentation is not optional — it is the standard working mode.

Cortica is a rapidly growing healthcare company pioneering the most effective treatment methods for children with neurodevelopmental differences. Our mission is to design and deliver life-changing care – one child, one family, one community at a time. Ultimately, we envision a world that cultivates the full potential of every child. At Cortica, every team member is instrumental in helping us achieve our mission!

Our culture and values guide how we work and treat one another. Cortica celebrates diversity and fosters an inclusive environment, seeking ideas and opinions from everyone on the team. We safeguard equal rights and respect for all individuals, regardless of race, color, religion, sex, national origin, age, disability, creed, genetic information, sexual orientation, gender identity or expression, ancestry, veteran status or other applicable, legally protected characteristics. All Cortica employment decisions are made based on an individual’s qualifications and ability to successfully perform the job responsibilities.

What will you do?

Full Lifecycle Project Ownership:

• Engage stakeholders directly to gather, clarify, and document project requirements.
• Translate requirements into architected data solutions: choose the right storage, pipeline, modeling, and delivery approach for each problem.
• Own testing end-to-end — unit tests, data quality checks, reconciliation, and integration tests before anything reaches production.
• Deploy solutions to production and monitor post-deployment health, iterating rapidly based on real-world feedback.

AI-First Data Engineering: 

• Run parallel AI coding sessions (Claude Code, Cursor, Codex) across different facets of a pipeline simultaneously — orchestrate, verify, and integrate the outputs.
• Build and maintain context files (CLAUDE.md equivalents) for data projects that encode schema conventions, pipeline patterns, and institutional knowledge — making every future AI session smarter.
• Design verification loops: automated data quality checks, dbt tests, CI hooks, and pipeline monitors that give AI agents concrete feedback on correctness. • Build MCP (Model Context Protocol) or equivalent integrations to connect AI agents directly to Snowflake, Amazon Athena, Postgresql, MySql, Power BI APIs, Salesforce, and internal tooling.
• Prefer frontier models for complex architectural decisions and rely on AI acceleration to dramatically increase engineering throughput.

Data Platform & Pipeline Engineering:

• Design and build complex, reliable data pipelines ingesting from AWS, Azure, Salesforce, MuleSoft, and multiple third-party APIs into our AWS Data Lake and Snowflake warehouse.
• Implement and evolve data models using Kimball methodology to support financial, operational, and clinical analytics.
• Optimize pipeline performance, manage data quality, and perform root-cause analysis on data anomalies — internal and external. • Develop and maintain orchestration workflows in Python, and AWS Glue.
• Continuously evolve the data schema as business and engineering requirements change.

Analytics & Reporting Enablement:

• Build and support Power BI data models and reports; empower analytics team members to self-serve on a reliable data foundation.
• Work with data analysts and data scientists to build reusable, well-documented pipeline components they can extend independently.
• Deliver data products that drive clinical care decisions, financial planning, and operational performance improvements.

Application Development:

• Build lightweight internal data applications and tooling where needed; data entry interfaces, operational dashboards, automation scripts that bridge the gap between data pipelines and end users.
• Design for agentic workflows: build AI-powered data tools accessible via web interfaces or Slack that surface insights proactively.
• Integrate with Salesforce Health Cloud and other platforms using APIs and event-driven patterns.

Security, Governance & Collaboration: 

• Ensure data security and HIPAA compliance in all pipeline and application work. Partner with IT to enforce data governance standards.
• Document decisions, tradeoffs, and architecture clearly so that future engineers (and AI agents) can build on your work effectively.
• Collaborate across IT, finance, clinical operations, and data science — acting as the connective tissue between data infrastructure and business outcomes.

We’d love to hear from you if:

• You have 5+ years of hands-on data engineering experience, including building and operating production data pipelines.
• You have expert-level Python skills for ETL, pipeline orchestration, and automation.
• You possess deep SQL proficiency — query optimization, data modeling, stored procedures.
• You bring 2+ years’ experience working with AI first development workflows.
• You bring 4+ years’ experience with the following AWS (S3, Glue, Lambda, Redshift), and/or Azure big data services.
• You have 1+ year of experience with Snowflake.
• You have 2+ years of experience with orchestration frameworks.
• You have 2+ years of Salesforce experience with Apex and configurations.
• You’re experienced with Kimball dimensional modeling — you've built star schemas and conformed dimensions in production.
• You have Power BI (or equivalent BI tool) experience — data model design and report development.
• You have API integration experience — REST, GraphQL, event streaming (Kafka, Kinesis, or similar).
• You possess application development literacy — comfortable building lightweight web tooling (Python/Flask, Node, or similar) to complement data products.
• You reside in one of the following states: CA, TX, NC, WA, ID, NV, AZ, CO, KS, AR, LA, AL, GA, FL, SC, TN, VA, MD, NJ, DE, IL, WI, MI, OH, MA, PA, NH, CT

Your Compensation & Benefits

Cortica cares deeply about the well-being of each member of our team, and we have created a passionate, caring, and growth-minded culture that helps teammates thrive! As a Cortica teammate, we’ll support your well-being through medical, dental, and vision insurance, a 401(k) plan with company matching and rapid vesting, paid holidays and wellness days, life insurance, disability insurance options, tuition reimbursements for professional development and continuing education, and referral bonuses. We value you and the experience you bring to your role, and are proud to provide you with a compensation and benefits package designed to enhance all aspects of your life.

The base pay range for this opening is $160,000 to $200,000. According to your skill level, relevant experience, education level, and location, you will receive compensation that fits appropriately within the range. EOE. This posting is not meant to be an exhaustive list of the role and its duties.

Privacy Notice 
Cortica is committed to protecting your personal information in compliance with applicable federal and state laws. Please review our Privacy Notice to understand how your data is collected, used, and protected. 

E-Verify Participation 
This employer participates in E-Verify. Click here to view the E-Verify Poster and your Right to Work. 
Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ver el cartel de E-Verify y su derecho a trabajar. 

#LI-NF1

#LI-Remote

Make your impact within a rapidly growing Fintech Company

Join BILL as a Senior Frontend Engineer on our Product Engineering team, where you will build intuitive, scalable, and high-impact financial solutions that empower businesses to thrive. You’ll contribute to a vision-driven team that values purpose, drive, and curiosity, building innovative solutions that directly impact our customers.

In this role, you will leverage your expertise in modern frontend technologies, including Angular and GraphQL, to design and implement new features and capabilities. You’ll play a crucial role in designing and delivering exceptional user experiences, collaborating closely with cross-functional partners, and driving the evolution of our web platform. We are looking for a highly self-motivated, high-agency individual eager to grow and learn, who will actively seek opportunities to contribute and shape the product. This is an opportunity to shape the future of fintech products in a collaborative, fast-paced environment where your expertise will directly influence customer success and business growth.

Responsibilities:

• Drive the design and implementation of new user-facing features and capabilities using Angular and modern JavaScript/TypeScript
• Develop and maintain robust microservice front-end architectures, leveraging GraphQL and federated GraphQL
• Collaborate cross-functionally with product, design, architecture, and other engineering teams to define and deliver innovative solutions
• Use data and user feedback to iterate on features and advocate for thoughtful UX improvements
• Ensure high code quality, performance, scalability, and maintainability of frontend applications
• Provide technical leadership and mentorship, contributing to architectural decisions and best practices within the team
• Mentor junior engineers and foster a culture of continuous learning and innovation

We’d love to chat if you have:

• Requires a minimum of 5 years of related experience with a Bachelor's; 3 years with a Master's; or equivalent work experience.
• Proficiency in modern JavaScript frameworks, particularly Angular, for building complex web applications
• Demonstrated experience with GraphQL, including federated GraphQL, for efficient data fetching and management
• Solid understanding and practical experience with microservice front-end architecture patterns
• Ability to collaborate effectively in a cross-functional team environment and communicate technical concepts clearly
• Strong problem-solving skills and a passion for building high-quality, scalable software solutions
• Specialized experience in deterministic UI state, asynchronous financial flows, and AI-augmented Angular frontend architectures to ensure the security and reliability of the user experience.
• Experience exposing AI Agentic capabilities to users in a way that is intuitive, performant, and scalable.

Visa Sponsorship: Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

#LI

Make your impact within a rapidly growing Fintech Company

Join BILL’s Account Payables - Multi-Entity team, where we are transforming how businesses manage complex financial operations across multiple entities, subsidiaries, and locations. As a Senior Software Engineer, you’ll architect and scale innovative back-office solutions, managing enterprise-level data volumes and complex workflows that empower Lower Mid-Market Customers and Accountants to streamline operations through our flagship Multi-Entity (ME) offering.

This team operates with a "startup" mentality within the broader AP operations, having built a 0-to-1 core platform in the last year that handles data across hundreds of entities with a focus on reliability, high performance, and availability. This is your opportunity to work in a collaborative, high-growth environment where your technical expertise will directly influence BILL’s vision to empower businesses through financial automation. Please note that this role is operating in a hybrid working model out of our San Jose office. 

Responsibilities:

• Design, develop, and maintain robust, scalable software solutions for multi-entity account payable workflows.
• Collaborate cross-functionally with product managers, designers, and other engineers to translate business requirements into technical deliverables.
• Analyze complex problems, break them down into manageable components, and implement effective, maintainable solutions.
• Contribute to code reviews, share technical knowledge, and mentor junior team members to elevate team performance.
• Proactively identify areas for process and system improvements, recommending and implementing enhancements to drive product quality and efficiency.
• Ensure solutions adhere to best practices in security, reliability, and performance.
• Stay current with industry trends and emerging technologies, bringing new ideas to the team.

We’d love to chat if you have:

• Bachelor’s degree in Computer Science or a related field (Master’s a plus); typically 5+ years of professional software engineering experience
• Strong understanding of large-scale web applications and distributed systems—including deployment, capacity planning, monitoring, and incident management
• Proven ability to evaluate trade-offs and collaborate across teams on complex technical and business initiatives
• Experience leading technical strategy for Multi-Entity SaaS platforms, with demonstrated success in scaling systems to support millions of mission-critical transactions
• Full-Stack Proficiency: Hands-on experience with Angular, React or similar for front-end, and Java or TypeScript/Node.js  or similar for back-end services.
• AI Driven Development: Experience leveraging Gen AI technologies to accelerate software engineering by designing prompts, rigorously evaluating outputs, and integrating LLMs
• Technical Breadth: Working knowledge of GraphQL, AWS (Lambda, DynamoDB, S3, SNS/SQS), microservices, and API gateway patterns.
• Systems Thinking: Strong understanding of large-scale web applications, distributed systems, monitoring, and CI/CD (GitHub Actions, Jenkins). 

Visa Sponsorship:  Please note that this position is not eligible for visa sponsorship. Applicants must have authorization to work in the United States without requiring visa sponsorship now or in the future.

#LI

Role Overview

ID.me is seeking a Software Development Engineer III to join the Credential API team and contribute to the design and development of our credentialing platform — the API that issues, retrieves, and manages validated credential bundles (e.g., verified passport, driver's license, validated domain, verified face) for both people and organizations.

In this role, you will work on backend services and APIs that underpin ID.me's identity trust layer, collaborating with identity, verification, and platform teams. You will contribute to secure, scalable, and high-performance systems that enable the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in our Mountain View, CA office.

Key Responsibilities

• Contribute to the implementation of the Credential API and its core services that issue, fetch, and manage credential attribute bundles for entities such as Person or Organization.
• Build and maintain RESTful and GraphQL endpoints that meet standards for reliability, latency, and security, integrating with both internal and external systems.
• Develop and maintain data models and storage patterns to represent credential provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of credential data through authentication, authorization, encryption, and audit practices.
• Collaborate with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Participate in system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Optimize performance, scalability, and reliability for credential services in production environments.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 4+ years of experience developing web applications using OOP languages such as Java, Ruby, JavaScript, TypeScript, Go, Python, Rust, or C++.
• Experience building systems and services in a containerized, cloud-based, infrastructure-as-code driven ecosystem.
• Exposure to GCP utilizing Docker, Kubernetes, or Nomad.
• Proven ability to deliver features end to end, including automated test coverage, observability, monitoring, and documentation.
• Ability to communicate technical tradeoffs clearly and work collaboratively within a team.
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate delivery and code quality.

Preferred Qualifications

• Familiarity with building and consuming REST or GraphQL APIs in production environments.
• Experience with relational databases (e.g., PostgreSQL) and exposure to NoSQL or graph data stores.
• Understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Exposure to authentication and authorization standards (OAuth2, OIDC, JWT, or custom schemes).
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Exposure to event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Familiarity with digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is a plus.

Role Overview

ID.me is seeking a Staff Software Development Engineer to join the Person Resource team and design and build the core services that define and manage a person's identity within our platform. This includes ownership of the data models, APIs, and systems responsible for person creation, attributes, and profiles.

As a Staff Engineer, you will play a key role in architecting and scaling the Person platform to ensure it is secure, consistent, and performant across ID.me's ecosystem. You'll design APIs and services that serve as the source of truth for personal data, working across identity, verification, and platform teams to deliver a scalable and high-performance API that enables the interoperability and integrity of digital credentials used by millions of users and trusted partners.

This position will be based full-time in either our McLean, VA or Mountain View, CA office.

Key Responsibilities

• Design and implement Person Services, managing attribute bundles and trust for the Person entity.
• Build RESTful and GraphQL endpoints that meet strict standards for reliability, latency, and security, and integrate seamlessly with both internal and external systems.
• Develop robust data models and storage patterns to represent provenance and relationships across relational and graph databases.
• Implement credential lifecycle flows — including creation, validation, renewal, and revocation — integrated with ID.me's identity verification and attribute validation systems.
• Ensure the security and privacy of Person data through strong authentication, authorization, encryption, and audit practices.
• Collaborate closely with Platform, Identity, Security, and Partner Engineering teams to deliver end-to-end features and integrations.
• Write high-quality, maintainable, and well-tested code, including automated tests and observability instrumentation.
• Contribute to system design discussions, code reviews, and technical documentation to drive clarity and alignment across teams.
• Continuously optimize performance, scalability, and reliability for Person services in production environments.
• Mentor and support senior and mid-level engineers, helping grow technical depth and team capability.
• Stay current on emerging identity and credentialing standards (e.g., Verifiable Credentials, Decentralized Identifiers, OIDC extensions) and bring new ideas into the product.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• 8+ years of professional experience developing backend services and APIs in production environments.
• 8+ years of experience in at least one backend language (Python, Go, or Java) and with modern frameworks.

Preferred Qualifications

• Demonstrated expertise in building and operating public-facing REST or GraphQL APIs at scale.
• Deep experience with relational databases (e.g., PostgreSQL) and NoSQL or graph data stores.
• Solid understanding of distributed systems concepts, caching, asynchronous processing, and cloud-native patterns.
• Experience implementing authentication and authorization (OAuth2, OIDC, JWT, or custom schemes).
• Proven ability to design, document, and evolve APIs used by multiple internal and external consumers.
• Familiarity with identity and credential verification systems, including data validation, proofing, or trust scoring.
• Experience with cloud infrastructure (AWS, GCP, or Azure), including containerization and deployment pipelines.
• Knowledge of event-driven architectures (Kafka, SNS/SQS) and patterns for decoupled service communication.
• Exposure to digital credential and identity standards (e.g., Verifiable Credentials, Decentralized Identifiers, W3C DID specs).
• Experience with API gateway technologies (e.g., Kong, Apigee, AWS API Gateway).
• Strong debugging and performance optimization skills in complex production systems.
• Contributions to open-source backend or identity-related projects are a plus.
• Experience in regulated or high-assurance domains (government, financial, or healthcare systems) is advantageous.

Who We Are:

Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
 
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform — one that unlocks unprecedented speed and global reach.
 
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
 
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what’s possible in space-based defense and logistics.

About the Role

As a Senior Back-end Engineer at Inversion, you will work as part of the simulation team to design, develop, and maintain the architecture and server-side logic of the applications that support the simulation and test environments for our flight systems. The simulation team is responsible for ensuring that flight software and flight hardware can be continuously integrated and tested under realistic flight conditions. You will play a key role in the design and development of data management and self-service tools that will enable fast, repeatable development and deployment workflows across the engineering stack. Your work will empower Inversion’s engineering teams to iterate rapidly throughout the development life cycle and will strengthen Inversion’s ability to put our products into the hands of our customers with unprecedented speed and agility.

What You'll Do

• Design, deploy, and maintain the server-side logic and infrastructure of the applications that support simulation workflows, including high-performance computing (HPC), software-in-the-loop (SIL) testing, and hardware-in-the-loop (HIL) testing
• Select a back-end tech stack that ensures the performance and scalability of our applications
• Design and implement a back-end architecture that strikes the right balance between simplicity and flexibility
• Design and develop databases architectures and data pipelines to meet configuration and data management needs
• Leverage self-documenting API tools and technologies to develop robust and efficient APIs
• Leverage modern web frameworks to develop server-side logic
• Work with front-end engineers to integrate the front-end with the back-end and deliver a smooth user experience (UX)
• Contribute to the design and development of a simulation system capable of automatically provisioning and deploying resources to support simulation workflows

Required Qualifications

Candidates must meet all of the following qualifications to be considered for this position:

• 6+ years of professional experience in back-end or full-stack development
• Expertise in back-end engineering and best practices
• Proficiency in one or more scripting languages (Python, Lua, Bash, PowerShell, etc.)
• Experience with Linux-based systems
• Experience with modern DevOps practices
• Experience with one or more back-end architectures (monolithic, modular, serverless, event-based, microservices, etc.)
• Experience with one or more API architectures (REST, GraphQL, gRPC, WebSockets, Webhooks, etc.)
• Experience with one or more database systems (MySQL, Oracle, MongoDB, DynamoDB,  InfluxDB, etc.)
• Experience with cloud computing platforms (AWS, Azure, GCP, OpenStack, CloudStack, etc.)

The ideal candidate will also meet one of the following qualifications:

• Expertise in database administration for both SQL and NoSQL databases
• Expertise in SaaS/PaaS development
• Expertise in network administration

Desired Qualifications

• Extensive experience with Python and Python-based web frameworks (Django, Flask, Quart, FastAPI, etc.)
• Extensive experience with C/C++ or Rust
• Experience with async and multithreaded architectures
• Experience with time-series databases (InfluxDB, QuestDB, TimescaleDB, Prometheus, etc.)
• Experience with message-oriented middleware (NATS, Apache Kafka, RabbitMQ, etc.)
• Familiarity with one or more front-end JS frameworks (React, Angular, etc.)
• Familiarity with one or more open-source cloud computing platforms (OpenStack, CloudStack, etc.)
• Familiarity with containerization (Docker, Docker Compose, etc.) and orchestration (Kubernetes, Docker Swarm, etc.)
• Familiarity with system observability tools (Prometheus, Grafana, ELK, etc.)

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.

_{The California annual base salary for this role is currently $139,000 - $201,000.  Pay Grades are determined by role, level, location, and alignment with market data.  Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.} 

Summary:

We are seeking a highly experienced Senior Software Engineer with deep full-stack expertise and a strong DevOps orientation. This individual will play a key role in designing, building, testing, and operating scalable web applications that support critical business functions.

The ideal candidate combines strong frontend and backend development capabilities with a disciplined approach to automation, testing, CI/CD, and production reliability. This role requires technical leadership, architectural judgment, and the ability to drive engineering excellence across the software lifecycle.

Essential Functions:

Full-Stack Application Development

• Architect, design, and implement scalable applications using Next.js and React
• Develop and maintain backend services and GraphQL APIs, including schema design and performance optimization
• Ensure high standards for code quality, security, performance, and maintainability
• Participate in architectural design reviews and technical decision-making

Testing & Quality Engineering

• Lead implementation of comprehensive automated testing strategies, including:
• End-to-end UI testing (e.g., Playwright, Cypress)
• API and integration testing
• Unit and regression testing
• Establish and enforce best practices for test coverage and quality gates
• Improve system stability through proactive quality engineering practices

DevOps & Continuous Delivery

• Design, implement, and optimize CI/CD pipelines using GitHub Actions
• Automate build, test, and deployment workflows across environments
• Improve release reliability, deployment frequency, and rollback strategies
• Contribute to monitoring, logging, and observability improvements
• Support production systems and participate in incident resolution when needed

Technical Leadership

• Mentor engineers and provide guidance on architecture and best practices
• Contribute to engineering standards and documentation
• Drive continuous improvement in development processes and tooling
• Collaborate cross-functionally with Product, Design, and Infrastructure teams

Requirements: 

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• Minimum 5 years of professional software engineering experience and a minimum of 4 years of experience in modern frontend frameworks, including Next.js and React. Other combinations of education and/or experience may be considered.
• Strong experience designing and implementing GraphQL APIs
• Proven experience in full-stack system architecture and development
• Demonstrated experience implementing automated testing for UI and APIs
• Hands-on experience building and maintaining GitHub Actions CI/CD workflows
• Strong understanding of DevOps principles, continuous delivery, and production system reliability
• Experience working with scalable, production-grade applications
• Excellent communication skills and ability to lead technical initiatives

Preferred Qualifications

• Experience deploying and managing applications in Microsoft Azure
• Experience with Terraform or other Infrastructure-as-Code solutions
• Familiarity with containerization (Docker) and modern deployment patterns
• Experience with monitoring and observability platforms
• Familiarity with AI-assisted development tools such as ChatGPT, Claude, or similar platforms
• Experience integrating AI APIs or intelligent automation into applications
• Strong architectural and systems design capability
• Ownership mindset with accountability for outcomes
• Commitment to automation and operational excellence
• Ability to balance technical rigor with delivery timelines
• Continuous learner who leverages modern tools, including AI-assisted development
• Other combinations of education and/or experience may be considered.

About the Team

The Information Security organization at Postman operates across three pillars: Governance Risk & Compliance (GRC), Product Security, and Security Operations. We are a team of builders, not checkbox-checkers. We hold active SOC 2 Type II, ISO 27001, ISO 42001, and HIPAA compliance postures, and we are pursuing FedRAMP High and CMMC Level 2 authorization. Our security stack includes Wiz, SentinelOne, Okta, Jamf, and 1Password, and we operate across a multi-cloud environment.

The Offensive Security team is the "red" pulse of this organization. We don't just find bugs — we simulate the adversary to ensure our defenses hold up under real-world pressure. We focus on continuous security validation, AI-augmented adversary emulation, and offensive AI security research at Postman's scale.

The Opportunity

We are looking for a Senior Manager, Offensive Security who is as much a strategist as they are a hacker. You will own the strategic direction of Postman's offensive security program — including building out a dedicated Offensive AI Security capability from the ground up — and operate as a key partner to CISO leadership on threat-informed defense strategy.

This is not a role where you inherit a mature program and keep the lights on. You will shape what offensive security looks like at Postman for the next three years, with a specific mandate to make us an industry leader in adversarial testing of AI systems, agentic workflows, and LLM integrations.

You will lead a team that doesn't just "report" vulnerabilities but "demonstrates" them, using live exploits to build a deep, visceral security culture across the entire engineering organization.

What You’ll Do

Strategy & Program Ownership

• Set Strategic Direction: Define and execute the multi-year offensive security roadmap, aligning Red Team, Purple Team, and continuous validation capabilities to Postman's evolving threat landscape and business priorities.

• Build the Offensive AI Security Practice: Stand up and scale a dedicated offensive capability targeting AI/ML systems. This includes adversarial testing of LLM integrations, agentic workflows (MCP, tool-use chains), RAG pipelines, and model-serving infrastructure. You will define the methodology, tooling, and engagement frameworks from the ground up.

• Develop AI Threat Intelligence: Track and operationalize the rapidly evolving AI threat landscape — OWASP LLM Top 10, MITRE ATLAS, emerging attack research on agentic systems — translating external research into internal red team playbooks and detection hypotheses for Security Operations.

Hands-On Technical Leadership

• Red Team AI Systems at Depth: Go beyond checkbox assessments. Lead structured adversarial campaigns against Postman's LLM deployments, AI agents, and model pipelines — targeting prompt injection, tool-use abuse, data exfiltration via context manipulation, training data poisoning, model manipulation, and trust boundary violations in multi-agent architectures.

• Architect Autonomous Testing: Design and deploy AI-based penetration testing platforms and autonomous agents to perform continuous security validation across our API ecosystem.

• Continuous Validation: Move from manual pentesting to Continuous Offensive Security, integrating automated breach and attack simulation (BAS) into CI/CD pipelines, including AI model deployment pipelines.

People Leadership

• Lead & Cultivate: Build, manage, and scale a high-performing team of offensive security engineers — including specialized AI red team operators — providing mentorship, career development, and succession planning.

• Recruit for the Future: Identify and hire talent at the intersection of offensive security and AI/ML — a rare and competitive talent market. Build a pipeline that includes internal development paths for existing security engineers to cross-skill into AI red teaming.

Communication & Influence

• Drive Security Culture through "The Show": Lead live "Exploitable Demonstrations" — technical proof-of-concepts presented to engineering teams that show exactly how a vulnerability could be leveraged, turning abstract risks into tangible learning moments. Place particular emphasis on demystifying AI-specific attack vectors for non-ML engineers.

• Executive Communication: Translate offensive findings into business-level risk narratives for executive leadership, the board, and external stakeholders. Partner with GRC on audit evidence and compliance posture derived from offensive operations, including AI-specific risk frameworks (ISO 42001).

• Cross-Functional Partnership: Operate as a senior technical leader across Product Security, Security Operations, and Engineering, ensuring offensive findings — especially from AI red team engagements — drive measurable improvements in detection, response, and architecture.

About You

• Experience: Minimum of 8 years in offensive security (penetration testing, red teaming, vulnerability research, or exploit development) with at least 4 years in a people management or leadership capacity, including experience managing managers or tech leads.

• AI/ML Offensive Depth: Demonstrated experience attacking AI/ML systems — whether through adversarial ML research, LLM red teaming, agentic system exploitation, or building offensive tooling for AI targets. You understand the difference between prompt injection and indirect prompt injection, know what a tool-use confusion attack looks like, and can articulate why RAG poisoning is a supply chain problem.

• Strategic Acumen: Demonstrated ability to build and scale an offensive security program from the ground up or significantly mature an existing one. Experience setting OKRs, managing budgets, and presenting to executive leadership.

• Adversarial Mindset: Deep understanding of the modern threat landscape and how to apply it to cloud-native, API-first environments — extended to AI-native architectures.

• AI Offensive Tooling Fluency: Hands-on experience with AI-augmented pentesting tools (e.g., PentestGPT, Horizon3, custom LLM-based fuzzing) and purpose-built AI red team frameworks (e.g., Microsoft PyRIT, Garak, custom harnesses). Understanding of how to manage non-deterministic AI outputs in both offensive tooling and target systems.

• Pragmatic Storytelling: You believe that a well-executed exploit demo is more effective than a 50-page PDF. You can present a complex exploit chain — including an AI-specific attack path — to a room of developers in a way that is inspiring, not condescending.

• Engineering Fluency: You prefer building an automated "exploit-as-code" validator over performing the same manual test twice. You can architect evaluation harnesses and adversarial test suites for ML models.

Preferred

• Industry Presence: Track record of contributions to the offensive security or AI security community — conference talks (DEF CON, Black Hat, BSides, RSA), tool releases, published research, CVEs, or active participation in OWASP, MITRE, or similar working groups.

• Certifications: OSCP, OSCE, OSEP, GXPN, GPEN, CRTP, or equivalent hands-on offensive certifications. AI/ML-specific credentials (e.g., GIAC GMAI) are a differentiator.

• Cloud Security Expertise: Deep familiarity with AWS security primitives, cloud-native attack paths, and container/Kubernetes exploitation.

• API Security Depth: Experience with API-specific attack methodologies — BOLA, BFLA, mass assignment, GraphQL abuse, gRPC exploitation — reflecting Postman's core product domain.

• Compliance Awareness: Familiarity with how offensive security outputs map to SOC 2 Type II, ISO 27001, ISO 42001, FedRAMP, or CMMC control evidence. You don't run GRC, but you know how to feed it.

The reasonably estimated base salary for this role ranges from $275,000 to $300,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience. 

The Role:

We are looking for a skilled Lead Full-Stack Engineer (Tech Lead) to join our team. This role is both hands-on and leadership-oriented, requiring the ability to lead technical conversations, contribute to architectural decisions, and guide engineering efforts across the full stack. The ideal candidate will own end-to-end feature delivery, actively contribute to development, and play a key role in shaping technical direction by evaluating existing systems and driving architectural decisions that support future scalability. You will work closely with client stakeholders, product, and engineering teams, participating in ongoing discussions, providing technical insight, and ensuring alignment between business needs and technical execution.

Key Responsibilities:

• Own end-to-end feature delivery across the full stack (React, Node.js, database layer)
• Lead technical discussions with stakeholders and contribute to client-facing conversations around system design and implementation
• Design and drive architectural decisions including API design, data modeling, service boundaries, and caching strategies
• Evaluate existing systems and contribute to defining scalable, forward-looking solutions
• Set and maintain a high bar for code quality through reviews, tooling, and best practices
• Profile performance and debug issues across the stack, from browser to backend systems
• Design and maintain scalable search infrastructure, with a focus on Algolia
• Provide guidance to engineers and support coordination of development efforts across the team
• Participate in incident response, post-mortems, and long-term reliability improvements
• Collaborate cross-functionally with product, design, and leadership teams to deliver high-impact features

Requirements:

• 7+ years of experience in full-stack software engineering
• Proven ability to contribute to architectural decisions and system design in complex environments
• Hands-on experience leveraging AI tools (e.g., LLM-based assistants) to improve development workflows, including code generation, debugging, testing, and overall engineering efficiency
• Strong expertise in JavaScript and TypeScript
• Advanced experience with React (hooks, modern patterns, performance optimization)
• Strong backend development experience with Node.js
• Experience designing REST and/or GraphQL APIs
• Strong knowledge of relational databases (PostgreSQL preferred), including query optimization and indexing
• Experience with caching systems such as Redis
• Familiarity with authentication patterns (JWT, OAuth, session management)
• Experience with CI/CD pipelines and modern cloud environments (AWS, GCP, or Azure)
• Strong understanding of observability, logging, and system reliability
• Excellent communication skills with the ability to participate in technical discussions with both engineering teams and stakeholders

Nice to have:

• Strong hands-on experience with Algolia (highly preferred)
• Experience with Next.js, React Server Components, or micro-frontend architectures
• Experience with message queues (Kafka, RabbitMQ, SQS)
• Familiarity with serverless or edge runtimes
• Experience with Docker and containerized environments
• Exposure to Kubernetes or infrastructure-as-code tools (Terraform, Pulumi)
• Experience with domain-driven design or clean architecture principles
• Experience mentoring engineers or contributing to open-source projects

Location:

• Beverly Hills, CA (On-site 3 days per week)

Employment type:

• W2

What we offer:

• Unlimited PTO
• Health + Dental + Vision + Life Insurance
• Long Term disability + 401k Match
• Professional Development Opportunities

Expected Compensation

• 150k - 170k annual salary + benefits

*Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time

Engineering at Brex

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

What you’ll do

As a Senior Full-Stack Software Engineer on our Task Workflows Platform team, you will build and scale the foundational infrastructure that powers core experiences across Brex. You will work across our extensive suite of platforms - including our multi-channel notifications engine, collaborative commenting system, and dynamic workflow rule builder. You will also play a pivotal role in evolving our task orchestration infrastructure infrastructure, helping us transition from a centralized, generic experience into highly tailored, purpose-built solutions for specific product domains.

You will tackle complex full-stack challenges, from designing scalable backend APIs and rule-evaluation engines for custom automations, to crafting intuitive frontend UX for our domain-specific task interfaces and workflow builders. Beyond core platform work, you will be part of a team that directly shapes broader product experiences - including leveraging AI to streamline user workflows and supporting the continuous evolution of our productivity tools in web and mobile.

Where you’ll work

This role will be based in San Francisco 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 on Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Work with engineers across the company to build new features and products end-to-end
• Own problems end-to-end, thinking through everything from user experience, data models, scalability, operability and ongoing metrics.
• Provide technical leadership to team by driving roadmap direction, architectural design and mentorship
• Work side-by-side with user-facing teams (Sales, Support) to best understand the needs of our customers.
• Tune and polish features to a high degree of excellence.
• Identify and implement reliability and performance improvements
• Uphold our high engineering standards and bring consistency to the codebases, infrastructure, and processes you will encounter

Requirements

• 7+ years of professional experience designing, developing, and deploying full-stack products
• Strong proficiency in backend programming languages (Java, Kotlin, Python)
• Experience architecting, building, and maintaining scalable, high-availability distributed systems
• Experience designing and optimizing SQL and/or NoSQL databases, including data modeling, query performance tuning, and schema design
• Experience building and maintaining RESTful APIs and/or GraphQL services
• Experience with modern frontend technologies and tools like ES6+, React, TypeScript, and Webpack

Bonus points

• Experience collaborating with cross-functional stakeholders and specialists in product, design, and operations
• Experience driving initiatives at a broader level across an organization or company
• Experience running in-product experiments, A/B testing
• Experience and interest in leveraging AI developer tools

Compensation

The expected salary range for this role is $192,000 - $240,000. 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.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com   

The Role – Senior Software Engineer

We are looking for a senior software engineer to work on the systems and applications that power our automated, real-time GeniusIQ products. You will collaborate with Computer Vision and AI/Machine Learning teams to take models from research to production, ensuring they run reliably and efficiently in live environments. This includes building the services, orchestration layers, configuration tooling, monitoring and alerting systems, and internal operator interfaces required to manage, visualize, correct/enrich, and scale our automated data pipelines across thousands of global sporting events each year. 
 
What You'll Do 

• Design and develop systems and applications that power our automated, real-time GeniusIQ products including tracking data, analytics and event feeds, video products, and officiating technologies. 

• Own and implement features end-to-end across the stack, taking responsibility for the system lifecycle from configuring and managing on-premise hardware through reliable, real-time delivery of critical products to customers. 

• Lead technical discussions, drive architectural decisions, and identify opportunities to improve scalability, automation, and operational efficiency as we expand across new leagues and sports globally. 

• Design and maintain the foundational GeniusIQ platform that powers our live systems and supports development & iteration by other engineering teams building on this platform. 

• Design and improve testing and release strategies for complex, distributed systems — including backend services, web applications, data pipelines, messaging and streaming services, real-time model inference systems, and on-site hardware components. 

• Monitor, analyze, and continuously improve system performance, reliability, and scalability. Build solutions for simulating and replaying live inputs, system and metadata validation, automated evaluation and regression testing, and observability and alerting. 

• Design and build mechanisms for enabling human or agent-in-the-loop workflows that validate, correct, and enhance outputs from the system. 

  
What You’ll Bring:   

• Experience operating distributed systems. 

• Experience building real-time, interactive web frontends. 

• Experience designing APIs and integrating services. 

• Experience managing relational databases (schema design, indexing strategies, query optimization, performance tuning, migrations, and availability considerations). 

• Bachelor’s degree in Computer Science or equivalent experience. 

 
It’ll be a bonus if you know: 

• Rust, Elixir, TypeScript, Go, C++, Python 

• Postgres, relational databases 

• React, Three.js, HTML5 Video, and/or Canvas 

• REST, GraphQL, and gRPC APIs 

• Systems that run inference with Computer Vision or AI/Machine Learning models 

• AWS, Temporal.io 

• Docker, Kubernetes 

• Pulsar, RabbitMQ 

• WebAssembly 

The base salary range for this role is $175,000 - $220,000. This role will also be eligible to take part in Genius Sports Group's benefits plan. 

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required. 

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports.  

One team, being brave, driving change   

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.   

Let us know when you apply if you need any assistance during the recruiting process due to a disability. 

Role: Senior Software Engineer - Full Stack, Technical Lead

Location: Hayes Valley, San Francisco, CA

Basic Job Details

Job Type: Full Time
Work Model: Hybrid
Remote Days: Monday & Friday
Office Days: Tuesday, Wednesday, Thursday

Job Description

We are seeking a Senior Fullstack Engineer who thrives in a fast-paced environment and has an unrelenting passion for building products that users love. The successful candidate will own project milestones and develop in our application, incorporating our stack, which includes Python, React, TypeScript, Postgres, and AWS.

Responsibilities

• Plan and execute project milestones, identifying and mitigating risks and swiftly resolving issues as they arise to deliver high-quality work
• Develop backend application layers and data models, ensuring robust functionality, security, and scalability. Our current tech stack includes Python 3, GraphQL, and FastAPI
• Build and maintain frontend interfaces using React and TypeScript, ensuring an exceptional user experience and high performance across all platforms
• Collaborate with cross-functional teams to understand end-user requirements, create effective project plans, and deliver effective technical solutions
• Mentor and provide feedback to junior team members to promote continuous learning and improvement
• Continually stay up-to-date with industry trends and technologies to ensure our technology stack remains current and competitive

Minimum Qualifications

• 5+ years of full-stack software development experience with web application architecture and design patterns for complex enterprise applications
• Advanced proficiency in Python with a track record of building intuitive, responsive, and fast web interfaces
• Proven experience leading complex technical projects, involving multiple engineers and/or dependencies on other teams
• Experience in managing complex backend services & infrastructure in high-growth environments
• Familiarity with web development best practices, and demonstrated ability to discuss engineering and product tradeoffs
• Proficiency with frontend languages and technologies such as Typescript and React

Preferred Qualifications

• Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related technical field.
• Experience working with AWS or similar cloud-based services
• Experience refactoring and migrating legacy systems
• Strong foundation in first principles thinking to drive problem-solving and innovation

The Perks

• Competitive Base Salary + Cash Bonus Structure
• Annual Company Bonus + Long Term Incentive Plan
• 401k with Matching
• Hybrid Work Schedule
• Hyper-Stable, publicly traded Enterprise
• Medical, Dental, and Vision Health Coverage
• Employee Stock Purchase Program (15% discount to market value)
• Collaborative, Fun, and Tech Forward office in Hayes Valley, San Francisco, CA

Compensation Range: The annual base salary range for this position is $200,000 - $250,000*. Compensation will vary based on factors including skill level, proficiencies, transferable knowledge, and experience. In addition to base salary, Baton's full-time employees are eligible for an annual performance bonus.

Location: Costa Mesa, CA #LI-HYBRID #BI-HYBRID

Who We Are

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Are you bready* for a change?

Toast currently serves hundreds of multi-unit brands, including Caribou Coffee, Choice Hotels, Craveworthy Brands, WaBa Grill, Nothing Bundt Cakes, Papa Gino's & D'Angelo, Costa Vida Fresh Mexican Grill, and The Human Bean, among others. We are looking for a Senior Software Engineer to join our enterprise drive-thru team and help us build the best-in-class drive-thru solutions that enable significant future growth. You will get to work across the entire Toast platform, including our scalable backend, customer-facing web apps, and everything else in between. As a member of the Drive-Thru Enterprise team, you will help ensure our products are built to meet the evolving needs of these customers. You can read more on our Toast for Enterprise Page.

About this roll* (Responsibilities) 

• Design, build, deploy, and maintain highly resilient and scalable features across Toast’s enterprise management products
• Hands-on design and implementation of Android applications in Kotlin
• Lead complex projects that improve the functionality and reliability of our products
• Ensure quality by building automated testing for changes
• Contribute to the overall quality of the Android and backend systems
• Collaborate with UX, PM, QA, and Engineering to define, design, and build best-in-class solutions in a complex and fast-moving environment
• Guide the growth & development of peer engineers with mentoring and coaching

Do you have the right ingredients*? (Requirements)

• 5+ years of prior experience developing and maintaining Android applications
• Experience with distributed systems, enterprise messaging systems, and/or microservices
• Proficient with modern API standards and technologies (e.g., REST, GraphQL)
• Strong leadership and mentoring skills
• Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences
• Passionate about driving innovation and continuously improving engineering practices
• Proven track record of technical leadership and contribution to complex projects
• Has a growth mindset with an emphasis on improving yourself and your team
• Balances getting things done with platform stability
• Bachelor’s degree or higher in computer science

What we use to make our dish (Our Tech Stack)

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL, and Storybook.
• Android app built in Java & Kotlin.
• PostgreSQL and DynamoDB as core persistence.
• Pulsar, Camel, and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top-class platform.
  
  

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Meet our software engineers!

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
• Carve out your own area of expertise and influence product decisions
• Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

We're looking for someone who has:

• 4+ years of experience in shipping complex software in C++11 and above
• Significant contributions to design documents
• Experience mentoring software engineers

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. 

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Identify and scope complex engineering challenges, design elegant solutions, and lead implementation across teams.
• Influence the technical strategy of the team when balancing work on new features, scaling challenges, and technical debt.
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans

We're looking for someone who has:

• 7-10+ years of experience in shipping complex software 
• Proven experience designing and implementing solutions to complex architectural problems
• Production experience writing in C++, Python, TypeScript, or Golang
• Experience mentoring software engineers

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $230,000 - $323,000 USD annually. 

About the role

At Applied Intuition, you will:

• Design, develop, and productionize scalable internal tools and AI workflows that support system engineering and validation for autonomous vehicle programs.
• Integrate data across requirements management, modeling, and validation tools to provide end-to-end traceability from system requirements to test results.
• Build backend services and APIs to unify distributed engineering artifacts into a cohesive, reliable platform.
• Develop dashboards and KPIs to measure requirement coverage, trace completeness, and validation progress.
• Own and evolve the core traceability data model, enabling bidirectional traceability, versioning, baselining, and change impact analysis.
• Refactor internal prototypes into production-grade, certifiable systems with strong reliability, access control, and auditability.
• Collaborate closely with systems engineering, safety, and autonomy teams to ensure tooling supports compliance and safety case development.
• Scale internal tooling to support production programs and future regulatory needs

We're looking for someone who has:

• Bachelor’s degree in Computer Science, Software Engineering, Robotics, Electrical Engineering, or a related technical field.
• 2+ years of professional experience in backend software development, internal tooling, or platform engineering.
• Strong proficiency in Python and familiarity with Java or C/C++.
• Experience designing and building REST or GraphQL APIs.
• Experience with data modeling, schema design, and integrating systems via APIs.
• Experience building scalable backend services and working with CI/CD pipelines.
• Strong systems thinking and the ability to work across complex, cross-functional technical domains.

Nice to have:

• Experience with requirements management or system modeling tools.
• Experience building dashboards, metrics frameworks, or traceability platforms.
• Familiarity with configuration management or compliance-driven environments.
• Exposure to safety-critical or regulated systems.
• Experience in a startup or fast-paced engineering environment.

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $185,000 USD annually.

Meet our software engineers!

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
• Carve out your own area of expertise and influence product decisions
• Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

We're looking for someone who has:

• 4+ years of experience shipping complex software
• Demonstrated ability to be a self-starter and can quickly become comfortable with new technical tools
• Designed efficient and effective solutions to a wide range of engineering challenges
• Proven ability to take initiative in a fast-paced environment

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)
• Experience writing Python, C++, Javascript, or Golang

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $125,000 - $222,000 USD annually.

Meet our software engineers!

About the role

At Applied Intuition, you will:

• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows
• Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans
• Carve out your own area of expertise and influence product decisions
• Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy

We're looking for someone who has:

• 4+ years of experience in shipping complex software 
• Experience writing C++, Python, JavaScript, Java, or Golang
• Significant contributions to design documents
• Experience mentoring software engineers

Nice to have:

• Working knowledge of frontend, API layer, containerization, or cluster orchestration frameworks (such as React, GraphQL, Docker, or Kubernetes)
• Experience working with simulation tools, modeling physical problems, or using robotics middlewares (such as ROS)

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.

Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.

Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. 

Staff Software Engineer, Android

Costa Mesa, California, US - Hybrid #LI-HYBRID / #BI-HYBRID

Who We Are

Toast creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

Are you bready* for a change?

Toast currently serves hundreds of multi-unit brands, including Caribou Coffee, Choice Hotels, Craveworthy Brands, WaBa Grill, Nothing Bundt Cakes, Papa Gino's & D'Angelo, Costa Vida Fresh Mexican Grill, and The Human Bean, among others. We are looking for a Staff Software Engineer to join our enterprise drive-thru team and help us build the best-in-class drive-thru solutions that enable significant future growth. You will get to work across the entire Toast platform, including our scalable backend, customer-facing web apps, and everything else in between. As a member of the Drive-Thru Enterprise team, you will help ensure our products are built to meet the evolving needs of these customers. You can read more on our Toast for Enterprise Page.

About this roll* (Responsibilities) 

• Define the long-term technical strategy and architecture for the Drive-Thru domain, balancing immediate delivery with long-term maintainability.
• Standardize Android best practices across the organization, influencing how multiple teams build and deploy mobile features.
• Architect the interface between mobile clients and complex backend services to ensure offline-resiliency in high-volume drive-thru environments.
• Design, build, deploy, and maintain highly resilient and scalable features across Toast’s enterprise management products.
• Identify high-impact opportunities within the Drive-Thru ecosystem and partner with Product and UX leadership to define the roadmap.
• Bridge the gap between Android and backend systems to ensure a seamless, end-to-end enterprise experience.
• Guide the growth & development of peer engineers with mentoring and coaching.
• Foster a culture of engineering excellence by driving innovation and continuously improving engineering practices.

Do you have the right ingredients*? (Requirements)

• 8+ years of experience developing and maintaining Android applications
• Experience with distributed systems, enterprise messaging systems, and/or microservices
• Proficient with modern API standards and technologies (e.g., REST, GraphQL)
• Proven track record of leading teams through major architectural transformations and delivering high-impact, scalable solutions in multi-product environments.
• Excellent communication skills, with the ability to articulate complex technical concepts to diverse audiences
• Passionate about driving innovation and continuously improving engineering practices
• Proven ability to influence non-technical stakeholders and align technical debt reduction with business value
• Bachelor’s degree or higher in computer science

What we use to make our dish (Our Tech Stack)

• A core of Java & Kotlin based backend services.
• React SPAs leveraging Tailwind, GraphQL, and Storybook.
• Android app built in Java & Kotlin.
• PostgreSQL and DynamoDB as core persistence.
• Pulsar, Camel, and RabbitMQ for message-based integrations.
• And many more technologies that help us build a top-class platform.

AI at Toast

At Toast, one of our company values is that we're hungry to build and learn. We believe learning new AI tools empowers us to build for our customers faster, more independently, and with higher quality. We provide these tools across all disciplines, from Engineering and Product to Sales and Support, and are inspired by how our Toasters are already driving real value with them. The people who thrive here are those who embrace changes that let us build more for our customers; it’s a core part of our culture.

Our Total Rewards Philosophy 
We strive to provide competitive compensation and benefits programs that help to attract, retain, and motivate the best and brightest people in our industry. Our total rewards package goes beyond great earnings potential and provides the means to a healthy lifestyle with the flexibility to meet Toasters’ changing needs. Learn more about our benefits at https://careers.toasttab.com/toast-benefits.

Want to help us help others? We’re hiring! 

GoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes—for themselves and each other. Together, our community has raised more than $40 billion since 2010.

Join us! The GoFundMe team is searching for our next Staff Software Engineer to help GoFundMe Pro team.

One of GoFundMe’s fastest growing business segments is GoFundMe Pro, a platform that enables Non Profit Organizations (NPOs) to fundraise, host events, connect with donors, and leverage deep data insights to maximize their impact.

The GoFundMe Pro Onboarding team is hiring a full stack staff software engineer to accelerate time to value for new NPO users coming to our platform. You’ll guide a team of engineers to shape how NPOs get started. You’ll give NPO administrators deep and actionable data insights, AI driven tools, and help them successfully launch fundraising campaigns tailored to their needs.

The Job

• Own and evolve the technical strategy for the Onboarding team, and influence the technical direction of GoFundMe Pro. 
• Partner with product, design and data to solve the team’s hardest problems with clear business outcomes.
• Lead cross-team technical initiatives, driving alignment on architecture, APIs, and platform capabilities.
• Act as a technical multiplier: Mentor senior engineers, raise engineering standards, and guide complex technical decisions.
• Design and build scalable full-stack systems across web applications, back end services, and data pipelines.
• Drive improvements in system performance, reliability, observability, and developer velocity, and AI adoption.
• Facilitate knowledge sharing sessions to promote collaboration and define best practices for fullstack development.
• Identify and drive simplification of systems to accelerate delivery across teams.
• Create an environment that encourages innovation and collaboration.

You 

• Proven experience operating as a staff engineer or equivalent, with measurable impact across multiple teams or systems.
• Excellent understanding of distributed systems, including debugging distributed systems with high data loads.
• Demonstrated successful leadership of complex technical projects with cross-team collaboration and clear business impact.
• History of improving back-end and front-end application performance metrics.
• Track record of identifying and implementing best practices in software systems.
• Strong experience with React, ES6, TypeScript, Node.js, and front-end frameworks.
• Expertise in schema design and data modeling in SQL and NoSQL databases.
• Experience designing and evolving APIs (REST, GraphQL), including authentication and security best practices.
• Significant experience working with AI agents, agent orchestrators, and MCP servers. 

Preferred 

• High impact: Your work directly helps nonprofits raise more money and expand their reach, contributing to GoFundMe’s mission and business metrics.
• Broad scope: Influence systems and strategy across Onboarding and the broader GoFundMe Pro platform.
• Technical depth: Work across AI, data, and distributed systems at scale.
• Ownership: Lead ambiguous, high impact initiatives with visibility across the organization.

Why you’ll love it here

• Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.
• Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.
• Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together.
• Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.
• Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.
• Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.
• Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.
• Community Engagement: Make a difference through our volunteering program.

We live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!

GoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences.  We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.

The annual U.S. salary range for this full-time position is $219,600 - $268,400 [Include for sales roles only: which may include potential sales incentive payments. Your recruiter can share more about the specific OTE structure for this position during the hiring process]. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process.

If you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please contact us at accommodationrequests@gofundme.com. 

Global Data Privacy Notice for Job Candidates and Applicants:

Depending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. 

Learn more about GoFundMe:

We’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘25 annual report.

Our annual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.

For recent company news and announcements, visit our Newsroom.

*FOR ALL US-REMOTE ROLES:
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound May 1, 2025.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Role Overview

As a Sr. Solutions Architect – Professional Services, you will be responsible for delivering technical consulting and implementation engagements across Postman’s enterprise customer base. This role is deeply technical, hands-on, and customer-facing—ideal for professionals with a strong background in API design, governance, development, and solution architecture, looking to drive tangible customer outcomes.

You’ll lead the delivery of both fixed-price and time-and-material (T&M) projects, and will be measured on on-time, on-budget execution, as well as the value delivered to customers. You will work cross-functionally with Sales, Customer Success, Product, and Engineering to shape solutions, execute delivery plans, and ensure the successful deployment of Postman at scale within large, complex organizations.

Key Responsibilities

Project Delivery & Execution

• Lead the technical delivery of professional services engagements for enterprise customers, ensuring successful implementation and adoption of Postman’s capabilities.
  
  
• Execute implementation plans in collaboration with engagement managers or project leads, focusing on delivering technical outcomes aligned with customer objectives.
  
  
• Implement and configure Postman in complex enterprise environments, including integrations with CI/CD pipelines, authentication systems, and API management layers.
  
  
• Ensure quality and consistency of delivery through hands-on configuration, technical walkthroughs, and solution validation.
  
  
• Provide technical leadership during customer workshops, enablement sessions, and solution reviews to ensure effective knowledge transfer and adoption.
  
  
  

Technical Solutioning & Architecture

• Act as the technical lead and subject matter expert in engagements, helping customers implement best practices across API design, mocking, testing, governance, security, and lifecycle management.
  
  
• Design scalable API strategies using Postman and associated integrations within the customer's development toolchain.
  
  
• Tailor Postman’s enterprise features to meet customer-specific workflows, compliance needs, or infrastructure environments (e.g., CI/CD pipelines, on-prem, hybrid).
  
  

Customer Enablement & Advisory

• Guide customers through technical configuration, developer onboarding, and platform rollout strategies.
  
  
• Conduct hands-on workshops, and architectural assessments to accelerate adoption.
  
  
• Provide high-touch support and consultative advice during the post-sales implementation phase.
  
  

Proactive Engagement & Problem Solving

• Identify and escalate technical roadblocks early, proposing alternative solutions to keep projects on track.
  
  
• Proactively suggest architectural or process improvements to ensure long-term success and scalability of the solution.
  
  
• Act as a technical voice of the customer, documenting feedback and influencing internal product direction as appropriate.
  
  

Cross-Functional Collaboration

• Partner with Sales and Customer Success teams during pre-sales and post-sales engagements to shape project scope and value articulation.
  
  
• Collaborate with the Product and Engineering teams to resolve technical challenges or influence roadmap discussions with real-world use cases.
  
  
• Participate in internal and external project retrospectives and contribute to improving Postman’s services delivery methodology.
  
  

What You’ll Bring

• 7+ years of experience in technical roles such as Solutions Architect, Professional Services Engineer, API Consultant, or similar.
  
  
• Strong hands-on experience with API design (OpenAPI/Swagger), REST/GraphQL, API management platforms, and modern development practices.
  
  
• Proficiency with Postman’s platform (or comparable tools) across design, testing, monitoring, environments, workspaces, and collections.
  
  
• Solid development background (e.g., JavaScript, Python, Node.js, or Java) with experience in CI/CD, scripting, and integrations.
  
  
• Strong understanding of API governance, versioning strategies, and security models (OAuth, JWT, API keys) in enterprise environments.
  
  
• Excellent project management discipline—ability to scope work, manage timelines, and communicate clearly with both technical and non-technical stakeholders.
  
  
• Strong customer-facing communication and facilitation skills, including experience running technical workshops and stakeholder presentations.
  
  
• Experience working with Fortune 1000 or large enterprise customers across industries.

About the Role

We’re looking for a Senior Developer Advocate to join our Developer Relations team and help developers everywhere build better APIs, faster. You’ll serve as a trusted technical voice for Postman by creating compelling content, building community, and championing developer needs back into the product.

This is a high-visibility, high-impact role. You won’t just talk about Postman, you’ll be hands-on with APIs, AI agents, and emerging protocols like MCP, translating complex workflows into accessible, inspiring content that reaches millions of developers.

What You’ll Do

• Create technical content at scale: Write tutorials, blog posts, videos, sample projects, and livestreams that demonstrate API best practices using Postman and adjacent tools.

• Represent Postman publicly: Speak at conferences, meetups, podcasts, and webinars. Be a recognizable and credible technical voice in the API and developer tooling ecosystem.

• Build and nurture community: Engage with developers across forums, Discord, GitHub, social media, and in-person events. Lead or support the global Agents & APIs Meetup program and similar community initiatives.

• Champion the developer experience: Gather feedback from developers and translate it into actionable insights for Product and Engineering teams. Be the voice of the developer internally.

• Drive adoption of new capabilities: Create launch content and enablement materials for features like Agent Mode, API Catalog, MCP integration, and AI-native API testing.

• Collaborate cross-functionally: Partner with Product Marketing, Sales Engineering, and Education teams to ensure consistent, technically credible messaging across all touchpoints.

• Grow Postman’s reach: Develop strategies to grow engagement on YouTube, Substack, the Postman blog, and social channels through data-driven content optimization.

About You

• 5+ years of professional software development experience, with strong API (REST, GraphQL, gRPC, WebSockets) and coding (Python, Typescript) development skills

• 3+ years in a developer advocacy, developer relations, or developer education role.

• Proven ability to stand up, run, and scale in-person meetups, including recruiting speakers, working with Partners and event management.

• A portfolio of published technical content (blog posts, conference talks, videos, open-source projects, or tutorials).

• Hands-on experience with Postman or similar API development platforms. Eagerness to get hands on with code, and work closely with engineering teams.

• Strong understanding of modern development workflows: CI/CD, testing, version control, and cloud-native architectures.

• Excellent written and verbal communication skills with the ability to make complex topics accessible and engaging.

• Comfort with being on camera, on stage, and in front of a microphone. Strong experience in Youtube and video content is a plus

• Self-directed, able to prioritize across content, community, and product feedback workstreams with minimal oversight.

The reasonably estimated base salary for this role ranges from $210,000 to $230,000, plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.

About VSCO

VSCO (pronounced vis–co) is a platform that equips photographers with the tools, community, and exposure they need to expand creatively and professionally. VSCO maintains a rich and authentic creative environment that serves photographers at all levels – preserving a home for creative opportunity, inspiration, and connection. Our mission is to champion photographers so they can make it. We empower photographers to connect with other creatives and businesses with our suite of creative tools that spans from mobile to desktop and across our global community. 

We are looking for people who are driven and demonstrate initiative in taking our company mission to the next level. Employees here have the opportunity to make a big impact, and believe that when we build together, we achieve stronger outcomes than we could alone. 

Our values are critical pillars to our team culture and shape the way we hire. Read more about what you can expect when working at VSCO on our Careers Page. 

About The Role

If you are passionate about React Native development and excited to join a dynamic team of creators, we encourage you to apply for this position and help us empower creators worldwide. At VSCO, you'll have the opportunity to collaborate with talented individuals who share your passion for innovation and creativity. We're building an ecosystem of end-to-end tools for photographers, enhancing our existing product while creating entirely new tools and services. This is a crucial role for someone who will help define and drive that vision forward, shaping the way our users create, connect and earn. Join us in shaping the future of mobile, desktop and web technology and making a meaningful impact on the global creative community.

As a Staff Engineer, you are first and foremost a technologist. You'll be in the trenches with the team in terms of writing code, solving hard problems, and staying current with the latest technologies. But your impact goes beyond individual contributions. You'll act as a technical leader who guides the team through complex challenges, champions best practices, and anticipates what's coming around the corner so the team can stay ahead. You think about scalability, long-term maintainability, and future features — even while the rest of the team is focused on shipping today's work. You'll mentor engineers, raise the bar on quality, and enable others' success.

The Day to Day

• Lead the development of high-quality, scalable React Native applications. Push for rigorous testing, solid CI practices, and high standards across the codebase.
• Collaborate on and own decision making on forward-thinking architectural decisions. Align technical choices with company goals, and be pragmatic enough to choose the faster path when the business demands it. Watch for what is coming down the pike in React Native development.
• Mentor and elevate the team: guide engineers through tricky bugs, design decisions, and architectural trade-offs. Coach, teach, and create space for others to grow.
• Drive code quality through PR reviews, pushing work toward completion in an encouraging way. Your critical feedback motivates authors to improve their work and reach approval.
• Champion AI-assisted development. You’ve used AI tools extensively in your own workflow and actively mentor others to adopt them. You see AI as a multiplier for the team's velocity and quality.
• Collaborate across the organization: work closely with Product, Design, and business stakeholders. Translate complex technical concepts into clear language for non-technical audiences.
• Willing to blur the lines: you are willing to step outside your defined role when the work demands it. Whether it's jumping into an unfamiliar part of the stack or pitching in on cross-platform efforts, you are flexible to help where needed.

Qualifications

• • 7+ years of professional software development experience with at least 4+ years focused on mobile development using React Native.
  • Deep expertise in JavaScript, TypeScript, and modern front-end technologies including Expo.
  • Experience integrating with RESTful APIs, GraphQL, and third-party services.
  • Familiarity with state management libraries (e.g., Redux) and asynchronous programming.
  • Proven experience in building and maintaining complex, high-performance mobile applications.
  • Strong knowledge of mobile design principles, patterns, and best practices.
  • Experience owning projects end-to-end from initial prototypes to customer roll out.
  • Cross-functional experience collaborating closely with designers and product managers.
  • Track record of mentoring engineers and raising team-wide code quality.
  • Experience with feature flagging, release management, and observability tools (Datadog, Crashlytics, etc.).
  • Comfort with AI-assisted development workflows and a desire to push what's possible.

Job Perks

• • Hybrid work with an office in San Francisco, CA
  • Regular in-person events events to connect and collaborate
  • Competitive salary & equity 
  • Medical, dental, and vision insurance for employees and families
  • Flexible Time Off
  • Company-paid parental, medical and caregiver leave
  • Other perks including mental health resources and tech reimbursements

Compensation

The base salary for this position will vary based on several factors, such as relevant experience, location and your approved internal leveling assessed during the interview process. The base salary range for this role is $230,000 - $260,000. Salary is one component of our total compensation package. This position also qualifies for equity (i.e. stock options) and is eligible for discretionary bonuses based on performance.

The benefits available for this position include flexible time off, a 401K retirement plan, insurance (medical, dental, vision, life/AD&D, short and long term disability), and 11 paid holidays. We also provide paid sick time as required by state and local law. Additional benefits and perks contained in our standard employee benefits package are also offered for this position.

Please note: 

The application window for this role will be open until at least May 14, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Be careful of fraudulent job posts.

If you receive outreach from someone claiming to work for VSCO, please verify they are communicating through the proper channels (vsco.co email domain or through Greenhouse). 

Note that VSCO will never ask for financial information or sensitive personal information during the application process.

RDQ126R35

About Databricks
At Databricks, we empower data teams to solve the world’s toughest challenges—from security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform, enabling our customers to focus on innovation.

Our engineering teams push the boundaries of data and AI technology while ensuring our platform operates with the resilience, security, and scale that businesses need to succeed.

About the Role

We are developing a growing ecosystem of applications and partners on the Databricks Data Intelligence Platform. Our team creates frameworks, tools, and best practices to enable seamless integrations, helping developers and partners build impactful solutions.

As a Senior Staff Software Engineer, you will define the vision, architecture, and strategy for this ecosystem. You will play a key role in enabling customers to integrate cutting-edge applications, helping developers thrive on Databricks, and shaping the future of data and AI platforms.

Your Impact

• Define and drive the ecosystem strategy for Databricks, a crucial pillar of our platform growth. Shape how applications and integrations enhance the Databricks experience for developers, partners, and customers.
• Develop frameworks, APIs, and tools that make it seamless for partners and developers to build, integrate, and scale applications within the Databricks ecosystem.
• Enable customers to integrate cutting-edge applications and specialized functionalities, helping them drive competitive differentiation and expand their AI and data capabilities.
• Lead and mentor engineers across teams, providing technical guidance, architectural direction, and career development support. Foster a culture of innovation, best practices, and knowledge sharing.
• Collaborate cross-functionally with product, engineering, and business development teams to align technical roadmaps with strategic business goals.
• Engage with open-source communities and advocate for best practices in application development, data processing, and ecosystem enablement.
• Represent Databricks at industry events and conferences, influencing the broader data and AI landscape while engaging with partners, customers, and developers to shape the future of our platform.

What We’re Looking For

• Deep passion for and knowledge of the broad data and AI industry. Experience contributing to open-source projects and engaging with developer communities is a plus.
• 10+ years of experience building data-intensive applications or systems. Strong expertise in database systems (SQL, NoSQL, OLAP/OLTP) and big data processing (Apache Spark™, Flink). Experience designing high-performance APIs (REST, GraphQL, gRPC) and managing integrations.
• Strong understanding of data security, governance, and compliance frameworks (RBAC, GDPR, HIPAA), as well as cloud infrastructure (AWS, Azure, GCP), Kubernetes, Terraform, and CI/CD pipelines.
• Strong leadership skills with experience driving cross-functional and cross-organizational (e.g. external partners) initiatives.
• Ability to mentor engineers, influence architectural decisions, and advocate for best practices.
• Excellent communication skills to evangelize Databricks' ecosystem vision internally and externally.
• Bias for action and commitment to delivering high-quality solutions.

Join us in shaping the future of the Databricks ecosystem and enabling the next generation of data and AI innovation.

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

As an Engineering Manager, you will lead a team of experienced engineers building features and operating systems that power automated TV and CTV media buying. Your team will own critical parts of the platform responsible for order execution, traffic delivery, and campaign reliability—solving complex, real-world problems at scale in a fast-moving AdTech environment. You will be accountable for both shipping new features and ensuring the stability, performance, and scalability of existing systems that our clients depend on every day.

In this role, success is defined by your ability to guide the planning, technical design, and execution of features that simplify and automate the TV media planning and buying lifecycle. You will partner closely with Product Management to turn user needs into well-scoped technical solutions, while working collaboratively with adjacent engineering, data, and media teams. Through strong people leadership and hands-on technical guidance, you will help your team deliver high-impact capabilities that support billions of dollars in annual media spend.

Responsibilities:

• Lead the design, development, and maintenance of core backend systems: data models, queries, and GraphQL APIs that power media buying and campaign execution.
• Partner closely with Product Management to translate often complex media buying needs into well-defined technical requirements, execution plans, and milestones.
• Ensure the team achieves 99.9%+ uptime for Campaign Execution services, including campaign/order processing, and traffic delivery.
• Drive strong execution practices including sprint planning, prioritization, dependency management, and delivery commitments.
• Provide hands-on technical leadership through architectural guidance, design reviews, and code quality standards—while remaining close enough to the work to unblock teams.
• Continuously identify and pay down technical debt that could compromise reliability, scalability, or developer velocity.
• Foster a healthy, inclusive, high‑ownership culture where engineers feel empowered to improve systems, processes, and the customer experience.
• Manage and develop engineers through regular 1:1s, coaching, feedback, and career development conversations, fostering accountability and growth.

Qualifications:

• 7+ years of professional software engineering experience, including minimum 2 years in an engineering management role, preferably in a startup environment.
• Experience in AdTech, with expertise in programmatic and CTV streaming advertising (linear TV experience is a strong plus)
• Strong technical background in data modeling, APIs, and relational databases.
• Familiarity with Python, AWS, Airflow, and queuing systems.
• Data driven decision making: experience defining and using metrics/SLAs to guide priorities and measure impact.
• Strong communicator with excellent people skills to interact with various teams inside the company.

Benefits:

• Total compensation ($185,000 - $210,000) 
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office

#LI-HYBRID

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world’s fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

As an Engineering Manager, you will lead a team of experienced engineers building features and operating systems that power automated TV and CTV media buying. Your team will own critical parts of the platform responsible for order execution, traffic delivery, and campaign reliability—solving complex, real-world problems at scale in a fast-moving AdTech environment. You will be accountable for both shipping new features and ensuring the stability, performance, and scalability of existing systems that our clients depend on every day.

In this role, success is defined by your ability to guide the planning, technical design, and execution of features that simplify and automate the TV media planning and buying lifecycle. You will partner closely with Product Management to turn user needs into well-scoped technical solutions, while working collaboratively with adjacent engineering, data, and media teams. Through strong people leadership and hands-on technical guidance, you will help your team deliver high-impact capabilities that support billions of dollars in annual media spend.

Responsibilities:

• Lead the design, development, and maintenance of core backend systems: data models, queries, and GraphQL APIs that power media buying and campaign execution.
• Partner closely with Product Management to translate often complex media buying needs into well-defined technical requirements, execution plans, and milestones.
• Ensure the team achieves 99.9%+ uptime for Campaign Execution services, including campaign/order processing, and traffic delivery.
• Drive strong execution practices including sprint planning, prioritization, dependency management, and delivery commitments.
• Provide hands-on technical leadership through architectural guidance, design reviews, and code quality standards—while remaining close enough to the work to unblock teams.
• Continuously identify and pay down technical debt that could compromise reliability, scalability, or developer velocity.
• Foster a healthy, inclusive, high‑ownership culture where engineers feel empowered to improve systems, processes, and the customer experience.
• Manage and develop engineers through regular 1:1s, coaching, feedback, and career development conversations, fostering accountability and growth.

Qualifications:

• 7+ years of professional software engineering experience, including minimum 2 years in an engineering management role, preferably in a startup environment.
• Experience in AdTech, with expertise in programmatic and CTV streaming advertising (linear TV experience is a strong plus)
• Strong technical background in data modeling, APIs, and relational databases.
• Familiarity with Python, AWS, Airflow, and queuing systems.
• Data driven decision making: experience defining and using metrics/SLAs to guide priorities and measure impact.
• Strong communicator with excellent people skills to interact with various teams inside the company.

Benefits:

• Total compensation ($185,000 - $210,000) 
• Equity compensation
• Health insurance coverage for you and your dependents
• 401K, FSA, and commuter benefits
• $150 monthly spending account
• $1,000 annual continued education benefit
• $500 Newbie Productivity Perk
• Unlimited PTO and sick days
• Monthly Company Wellness Day Off
• Snacks, drinks, and catered lunches at the office
• Team building events 
• Hybrid RTO of 2 days per week in office

#LI-HYBRID

The Company:

Faraday Future (FF) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive. At FF, we’re creating something new, something connected, and something with a true global impact.

Your Role:

As a Senior Engineering Manager (Frontend), you’ll lead the development and launch of consumer-facing web applications and the backend-for-frontend (BFF) / service-proxy layer that powers them. You’ll make architecture decisions, ship iteratively, and set engineering quality bars across the stack.

• Lead end‑to‑end ownership of major web features—from technical discovery and architecture to implementation, testing, deployment, and post‑release iteration.
• Build performant, accessible React/Next.js + TypeScript UIs; apply SSR/SSG pragmatically, instrument analytics, and support experimentation/A‑B testing.
• Design and implement reliable REST/GraphQL APIs and BFF services; enforce clear contracts, versioning, and strong observability.
• Drive performance, security, and reliability at scale (Core Web Vitals, caching/CDN, rate limiting, logging/metrics/tracing, incident response).
• Mentor engineers, review designs/code, and collaborate with Product/Design to translate requirements into high‑quality, incremental releases.

Basic Qualifications:

• Bachelor’s degree or above in Computer Science, Software Engineering, or a related discipline (or equivalent practical experience).
• 10+ years building and operating production web applications and services; 3+ years leading technical delivery and/or architecture.
• Strong programming in TypeScript/JavaScript and at least one backend stack (Node.js or Java); deep understanding of HTTP, API design, and web security.
• Hands‑on with modern web tooling (React, Next.js), automated testing, and CI/CD; proficiency with Docker and a major cloud (AWS preferred).
• Solid data/systems skills: relational and NoSQL stores, caching (Redis), message queues, and performance optimization.

Preferred Qualifications:

• Professional working proficiency bilingual in Mandarin.
• Frontend: React 18+/TypeScript, Next.js; modern state/data (Redux Toolkit, TanStack Query); accessibility (WCAG); testing (Jest/Vitest, Testing Library, Playwright/Cypress).
• Backend: Node.js (NestJS/Express/Fastify) or Java (Spring Boot); REST/GraphQL; BFF pattern; messaging (Kafka/RabbitMQ); caching (Redis).
• Cloud: AWS (Lambda, API Gateway, ECS/EKS, CloudFront, S3, RDS/Aurora/DynamoDB, IAM) and IaC (CloudFormation or Terraform).
• CI/CD & DevOps: GitHub Actions/GitLab CI/Jenkins; trunk‑based development; blue/green or canary deployments.
• Observability & Security: Open Telemetry; Prometheus/Grafana or Datadog/New Relic; OAuth2/OIDC; OWASP best practices; secrets management.
• Data: PostgreSQL/MySQL; MongoDB; schema design and query tuning.
• CRM & Integrations: SAP, Salesforce, or similar.

Salary Range:

($160K-$200K DOE) plus benefits and incentive plans

 Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

Faraday Future is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

C3 AI is looking for Senior Software Engineers to join the rapidly growing Data org within the Platform Engineering department. Successful candidates will get the opportunity to work on high-value technologies at the intersection of large-scale distributed systems, data infrastructure, and machine learning. You will design, develop, and maintain various features in a highly scalable and extensible AI/ML platform for large-scale applications, involving data science, distributed systems, and multi-cloud strategy.

You will be given opportunities to take ownership of components, collaborate to drive technical direction, and work on interesting, impactful projects. Join us in building the next-generation AI/ML platform at petabyte level scale that powers some of the world’s largest companies in Energy, Financial Services, Utilities, Health Care, Aerospace, Defense, etc. Accelerate your career in the leading enterprise AI company that is in a hyper-growth trajectory.

Responsibilities:

• Design and develop infrastructure and services to enable data pipelines for petabyte level scale and more.
• Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc.
• Design and develop file system abstractions over AWS S3, Azure Blobs, HDFS, etc.
• Design and develop connectors to various external data stores.
• Design and develop distributed system components for stream processing, queueing, batch processing, analytics engines, etc.
• Develop and maintain industry-leading, high-performance APIs for AL/ML applications.
• Develop and maintain features for distributed computations over large-scale data for ML workflows.
• Design and develop ML-specific data-systems such as feature stores and behavioral frameworks such as recommendation engines.
• Design and develop integrations with distributed computing technologies such as Apache Spark, Ray, etc. for data exploration and ML workload orchestration.
• Design and develop integrations with data analysis libraries such as Pandas, Koalas, etc.
• Develop and production AI/ML models for failure prediction, data schema inferencing, etc.
• Work on frameworks for performance, scalability, and reliability tracking over different components of a highly extensible AI/ML platform.
• Work with architects, product managers, and software engineers across teams in a highly collaborative environment.
• Participate and provide insights in technical discussions.
• Write clean code following a test-driven methodology.
• Deliver commitments promptly following agile software development methodology.

Qualifications:

• Bachelor of Science in Computer Science, Computer Engineering, or related fields.
• A minimum of 5 years of work experience in a fast-paced software company.
• Strong understanding of Computer Science fundamentals.
• High proficiency in coding with Java, C++, C#, or some other compiled language. Python would also be acceptable.
• Strong competency in object-oriented programming, data structures, algorithms, and software design patterns.
• Experience with version control systems such as Git.
• Experience with large-scale distributed systems.
• Experience with any public cloud platform (AWS, Azure, GCP).
• Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Familiarity with managed versions of these technologies on public cloud platforms is also acceptable.
• Familiarity with technologies in the modern data science/analysis and engineering ecosystem (e.g., Pandas, Koalas).
• Good verbal and written technical communication ability to facilitate collaboration.
• Thrive in a fast-paced, dynamic environment and value end-to-end ownership of components.
• Intellectually curious and open to challenges.

Preferred Qualifications:

• Advanced degree in engineering, sciences, or related field.
• Experience with Agile development methodology.
• Experience developing and working with REST and/or GraphQL APIs.
• Experience building scalable and reliable data pipelines.
• Experience with integration of data from multiple sources.
• Experience working with analytics and/or data processing engines.
• Experience developing distributed computation over large-scale data.
• Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka).
• Experience with data science/analysis libraries (e.g., Pandas, Koalas).
• Experience with task schedulers in distributed computing (e.g., Spark, Ray, Dask).
• Familiarity with machine learning workload orchestration in a distributed computing environment.
• Familiarity with workflow execution and/or optimization using DAGs, ideally for machine learning use-cases.
• Conceptual understanding of orchestration and resource provisioning systems (Kubernetes)

The Role 

We are seeking a highly skilled Senior Software Engineer with expertise in designing and implementing scalable, data-driven systems. The ideal candidate is passionate about distributed systems, cloud-native technologies, and efficient data processing. The Senior Engineer will play a vital role in building both foundational engineering capabilities for scaling solutions and developing product solutions.

The Responsibilities 

Overall

• Design, develop, and maintain scalable backend services using Golang and Python.
• Build and optimize APIs using gRPC || GraphQL || REST to support high-performance applications.
• Deploy, manage, and monitor containerized applications using Docker and Kubernetes.
• Design and manage databases (SQL/NoSQL) to handle large-scale data efficiently.
• Implement CI/CD pipelines for automated testing, deployment, and monitoring.
• Work collaboratively with product managers, frontend engineers & researchers to deliver end-to-end solutions.
• Ensure application security, performance, and scalability best practices.
• Troubleshoot and optimize system performance, bottlenecks, and data pipelines.

Everyday

• Iterative updates and product development
• Planning, estimations, diagrams
• Prototyping for new features
• Agile sprint-based team cadence
• Brainstorming solutions with peers

The Requirements 

• 2+ years of experience in full-stack development.
• Strong proficiency in Golang || Python || TypeScript or similar languages.
• Experience with Kubernetes, Docker, and cloud-native application development.
• Hands-on experience with gRPC / GraphQL / REST APIs and microservice architecture.
• Knowledge of relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Redis) databases.
• Familiarity with scalable data processing techniques.
• “You build it, you run it” - Experience with monitoring, logging, and observability tools.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and teamwork skills.
• Understanding of DevOps practices.

Desired

• Experience with cloud platforms (GCP [preferred], AWS, or Azure).
• Knowledge of event-driven architectures and message brokers (e.g., Kafka, RabbitMQ).
• Familiarity with streaming technologies.
• Exposure to frontend frameworks (React [preferred], Vue.js, or Angular).
• Understanding of infrastructure-as-code (Terraform, Helm).