About the opportunity

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

What to expect?

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

What do you need to be successful?

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

What's in it for you?

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

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

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

What we are looking for

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

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

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

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

In this role you will

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

Required qualifications

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

Desirable qualifications

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

The base salary range for this position is $171,000 - $247,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior 

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

Aurora is seeking a highly experienced and strategic Director, Organizational Safety to spearhead the continuous improvement and scaling of our Enterprise Safety Management System (SMS). Reporting directly to the Chief Safety Officer, you will serve as a critical pillar of Aurora’s safety leadership team.

You will be the primary architect of the Aurora Approach to Organizational Safety, ensuring that safety is integrated into the DNA of our corporate culture and business processes. You will maintain and continuously improve Aurora’s strong Safety Culture, and ensure appropriate safety assurance protocols are in place to maintain the health of Aurora Safety Programs. You will also establish and maintain credible and appropriate approaches to managing safety risk to the organization, products and operations, including responsibility for the governance of the highest level risk-based decision-making via management of the Safety Review Board.

In this role, you will 

Strategy & Governance

• Aurora SMS framework: Ensure the Aurora SMS framework remains state of the art and appropriate to manage the unique risks of autonomous technology development and operations, that it is scalable, transparent, and aligned with industry-leading standards and delivers measurable improvements.
• Safety Review Board (SRB): Ensure that the SRB maintains appropriate visibility on enterprise safety risks and is presented with necessary and timely information to make decisions on managing safety risks. Manage the agenda, risk synthesis, and follow-up for Aurora’s highest safety governing body to ensure the Accountable Executive is appropriately informed on safety. Support SRB decision making for Aurora driverless products before they are released on public roads.

Safety Risk Management & Assurance

• Safety Concern Reporting (SCR): Lead the enterprise-wide program for reporting, triaging, and investigating safety concerns, fostering a "just culture" where employees feel empowered to report risks without fear of retribution.
• Safety Risk Management Approach and Integration: Define and oversee the methodologies used for identifying, evaluating, mitigating, and monitoring organizational, product and operations safety risks. 
• Fleet Safety Oversight: Provide strategic direction to the Manager of Fleet Safety, ensuring that DOT/FMCSA compliance, driver fitness, and vehicle inspection programs are appropriate for Aurora product and operations and ensuring execution is conformant to safety policies.

Leadership & Culture

• People Management: Lead and mentor a high-performing team, including the Fleet Safety organization and SMS Team.
• Safety Thought Leadership: Drive the internal and external communications narrative regarding safety performance, safety case/SMS integration and cultural maturity.
• Cross-Functional Collaboration: Partner with Legal, HR, Finance, and Engineering to ensure safety risk mitigations are reflected in corporate policies and insurance frameworks.

Required Qualifications

• 10+ years of experience developing and/or managing a comprehensive Safety Management System (SMS) within a safety-critical transportation industry (e.g., Automated Driving Systems, Aviation, Rail, Marine, or Automotive).
• Proven Leadership: At least 5 years of experience managing diverse safety teams and leading through other managers to derive results through highly effective teams.
• Expert Risk Management: Demonstrated mastery of applied, credible methodologies for Safety Risk Management (SRM) at an enterprise level.
• Bachelor’s Degree in Engineering, Safety Management, or a related technical discipline.
• Technical Acumen: Deep understanding of safety-critical systems and relevant standards and best practices (e.g., FMVSS, ISO, ICAO, AVSC).
• Communication: Exceptional ability to synthesize and derive insights from complex data for C-suite executives, business partners, and regulatory bodies.
• Industry Influence: Experience representing an organization in industry forums or helping shape national/international safety standards.

Desirable Qualifications 

• Advanced Degree: Master’s or Ph.D. in Safety Engineering, Human Factors, or Safety Management
• Professional Certification: Certified Safety Professional (CSP), Certified Director of Safety (CDS), or equivalent.
• AV Experience: Direct experience with the unique risk management challenges of autonomous vehicle technology or complex robotics.

The base range for this position is $176,000 - $228,000.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-xxx

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

This role will partner closely with our Software and Design teams to define the vision and long-term strategy for Aurora's internal application ecosystem for Autonomy development. You will be responsible for the end-to-end product lifecycle of tools that empower our engineers and operations teams to build, test, and deploy autonomous vehicle technology at scale. By conducting deep user research and synthesizing complex requirements, you will transform technical capabilities into a cohesive product portfolio that accelerates our path to commercialization.

In this role, you will

• Architect Product Strategy: Define and champion a multi-year product vision and North Star for a portfolio of internal applications, ensuring alignment with Aurora’s broader commercial objectives.
• Drive Cross-Functional Collaboration: Act as the primary bridge between Engineering and Design to deliver high-impact products that maximize business value and optimize user workflows.
• Master the User Domain: Develop an empathetic, deep-seated understanding of the challenges inherent in AV development, including data visualization, ML labeling, and simulation lifecycles.
• Drive AI Adoption: Define and champion AI/agentic tools and workflows that accelerate development workflows
• Prioritize for Impact: Rigorously manage the product roadmap, balancing the immediate needs of internal stakeholders with long-term platform scalability and technical debt.
• Operationalize Feedback: Translate qualitative user insights and quantitative usage metrics into high-fidelity requirements and actionable user stories.
• Lead Through Influence: Navigate complex stakeholder environments to build consensus on timelines, trade-offs, and resource allocation.

Required Qualifications

• Proven Leadership: 7+ years in software product management with a track record of driving the strategy and execution of complex software ecosystems.
• Strategic Problem Solver: Exceptional ability to navigate ambiguity, create structured frameworks from "white space," and lead teams through organizational change.
• Influence & Communication: Ability to articulate a compelling product narrative and translate sophisticated concepts into clear, persuasive communication for executive leadership.
• Collaborative Excellence: Demonstrated experience leading high-performing, cross-functional teams (Design, Engineering, and Data) to deliver high-ROI products.
• Operational Fluency: Strong understanding of the software development lifecycle, particularly in ML-based software development, and the ability to identify and mitigate delivery risks.
• Technical Fluency: Ability to pick up deep technical concepts quickly to understand architecture risks and complexity trade-offs.

Desirable Qualifications

• Bachelor’s degree in Computer Science (or other technical education) or equivalent practical experience
• Experience shipping products 
• Experience with self-driving technology or other AI-based applications

The base salary range for this position is $163K-$236K per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-SP1

Are you a technical leader with a passion for mission-driven sales? We are looking for a visionary Senior Manager of Sales Engineering to lead a high-impact Healthcare SE team.

In this role, you won’t just manage a team—you will be the architect of technical strategy for organizations that provide critical care to your region’s people and families. You’ll lead a squad of elite technical experts who bridge the gap between complex cloud security and the life-saving missions of our healthcare partners. 

Lead the team by example as they envision and create innovative customized solutions, deliver business value, perform impactful demos, and ensure smooth technical handoffs.

• Hire and develop a high-performing sales engineering team
• Refine sales engineering processes, including discovery, technical qualification, and proof-of-concept
• Coach your team to success with developing comprehensive solution proposals and delivering succinct, impactful product demonstrations
• Provide expert advice for requests for proposals (RFPs) and present recommendations to clients
• Create influence through technical whiteboarding and impactful presentations to your customers and their leadership teams with a keen eye on the personas in the room
• Collaborate across the organization to ensure solutions are implemented according to the customer’s expectations. 

Who You Are (Success Profile)

• You own your outcomes. Your passion fuels your bias for action. You operate with integrity because you genuinely care about the Sales Engineers on your team. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You are driven by innovation. You have a deep curiosity for how things work and are energized by solving complex technical challenges. You believe in the power of technology to accelerate transformation and are always looking for a better, more secure, and scalable way.
• You are resilient and adaptable. You view change as an opportunity and setbacks as temporary. You maintain composure and focus in high-pressure situations, guiding yourself and your team through complexity with a steady, positive hand.

What We’re Looking for (Minimum Qualifications)

• Bachelor's Degree in Engineering, a related field, or equivalent practical experience
• 10+ years of experience in sales or systems engineering, with at least 5 years specifically managing and directing a sales engineering team
• Deep technical knowledge and prior experience selling network security technologies

What Will Make You Stand Out (Preferred Qualifications)

• Experience participating in regional industry events as a subject matter expert
• Demonstrated project management skills
• Deep technical hands-on experience in routing, switching, cloud architecture, or firewalls

#LI-remote

#LI-JK4

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

We are looking for a visionary Staff Technical Lead Manager (TLM), IT Systems Engineering to build and lead our Applications Engineering team. This is a unique opportunity to shape the strategy, technical direction, and culture of a team that will directly impact the entire organization. As a Staff TLM, you will be responsible for both managing a talented team of systems engineers and system administrators and providing hands-on technical leadership. You will architect a cohesive and secure SaaS ecosystem, drive our enterprise AI strategy, and champion a culture of automation and continuous improvement. Your team manages the critical SaaS applications, integrations and automations that powers our engineering and business operations. This team drives the use of Enterprise AI to create intelligent, end-to-end solutions that drive efficiency and unlock new capabilities for everyone at Aurora.

In this role, you will

• Develop and execute a long-term strategy and roadmap for the Corporate Engineering function that enables tooling for: Incident management, Knowledge and Document Management, Work and project management, Analytics and Visualization, Communication, etc.
• Design and oversee a scalable, secure, and integrated ecosystem of enterprise applications (Jira, Confluence, Slack, Google Workspace, OpsGenie, Firehydrant, etc.). Lead the charge in eliminating manual work by building robust automation and integration workflows using APIs, webhooks, and integration platforms.
• Provide technical guidance, review system architecture, and contribute to complex integration and automation projects. Serve as the primary technical expert for the team's domain.
• Partner with stakeholders across Security, IT, and Engineering to understand their needs, gather requirements, and ensure seamless delivery of solutions. Champion best practices for application governance, security, and data management.
• Lead the strategy and execution of enterprise AI solutions and productivity tools.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in IT, software engineering, or systems engineering, with at least 3+ years in leading engineering teams in delivering complex, large-scale enterprise applications or platform services.
• Deep, hands-on experience administering and integrating a suite of modern SaaS applications (e.g., Atlassian suite, Google Workspace, Slack, an incident management platform)
• Strong proficiency in a scripting language (e.g., Python, JavaScript/Google Apps Script) and extensive experience with APIs, webhooks, and integration platforms
• Experience in implementing and leveraging AI solutions.
• Strong understanding of APIs, integrations, and cloud-native architectures.
• Strong communication and presentation skills. 

The base salary range for this position is $139,000 - $223,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#Mid-Senior

CSQ426R15

PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
• Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement/user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• U.S. citizenship 
• 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers 
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role 
• Understanding of solution architecture related to distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management, including account, stakeholder and resource management accountability
• Experience in resolving complex and important escalations with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

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.

Strategic Account Executive at Unframe 

Location: Philadelphia, PA (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

• Lead the design, development, and integration of complex electrical and mechanical systems for autonomous vehicles, ensuring they meet rigorous performance, safety, and reliability standards.
• Architect, analyze, and optimize vehicle electrical and networking systems (Automotive Ethernet, CAN) to enhance data throughput, fault tolerance, and system scalability.
• Spearhead the diagnosis and resolution of complex, intermittent system failures using advanced debugging tools (e.g., high-speed oscilloscopes, spectrum analyzers, logic analyzers) and sophisticated PC-based diagnostic and simulation software.
• Mentor junior engineers on best practices for system triage, troubleshooting, repair, and validation.
• Develop and execute comprehensive integration test plans for new vehicle features and subsystems, coordinating efforts across multiple engineering disciplines and external partners.
• Author and maintain high-level technical documentation for system architectures, design requirements, and validation procedures.
  
  

What we're looking for:

• Expert-level knowledge of vehicle electrical and networking systems (CAN, LIN, Ethernet, etc.) with a deep understanding of communication protocols and their limitations.
• Proven track record of success in root-cause analysis, systematic issue isolation, and resolution for complex hardware-software integration problems.
• Extensive experience with advanced Linux terminal troubleshooting, including scripting and low-level system diagnostics.
• Deep understanding of computer system architecture, including embedded systems, processing units, and networking hardware.
• Demonstrated ability to author and maintain highly technical documentation, including design specifications, test reports, and system validation plans.
• Exceptional problem-solving skills and the ability to thrive in a fast-paced, ambiguous environment.
• Excellent communication and interpersonal skills to effectively lead cross-functional teams and collaborate with external suppliers and partners.
• Extensive experience with various sensors, including cameras, LiDAR, and RADAR, and an understanding of their integration challenges.
• Master's degree or equivalent in Electrical, Mechanical, or Systems Engineering, or 10+ years of relevant experience in a senior-level role.
  
  

Preferred, but not required:

• Professional proficiency in programming languages such as Python or C++ for scripting, automation, and data analysis.
• Experience with advanced issue-tracking and project management platforms (e.g., JIRA, Polarion, Confluence), including dashboard creation and workflow optimization.
• Working knowledge of functional safety standards (e.g., ISO 26262) and their application in autonomous systems.

This role is hybrid from our Pittsburgh office. It requires in-office days each week.

THE ROLE:

We are looking for passionate, inspirational, hands-on leaders for Pure’s fast-growing and innovative Cyber Resilience Field Solutions Architect team.  This group is composed of highly motivated technical sales resources whose goal is to develop and lead Everpure’s (formerly Pure Storage) Cyber Resilience business, including providing guidance, enablement, and support of sales opportunities and partnerships across their assigned region.  This leader must be able to discover our client’s and partners’ overall business objectives and articulate how Everpure’s value proposition and technical capabilities align with their goals.  In addition, this unique role requires an individual that is an expert in Cyber Resilience and Cybersecurity technologies, processes, and market leaders.

This person is responsible for ensuring the Everpure account teams are effectively qualifying and positioning Cyber Resilience and Cybersecurity opportunities in their sales area as well as providing enablement internally and externally to our channel partner community.  This position requires the ability to work cross-functionally with a multitude of departments to align initiatives and go-to-market campaigns, in addition to multitasking across different clients and sales opportunities.  

WHAT YOU'LL DO:

• Create field facing solutions content (Technical Walkthroughs, Deep Dives, Qualification Guides, etc.) for specific solutions around Cyber Resilience & Cybersecurity
• Mainstream Cyber Resilience and Cybersecurity knowledge, including enablement projects to better equip the field to have relevant conversations with their customers and prospects
• Webinars/Events presentations including internal and external content with Alliance Partners, Channel Partners, Vendors, etc.
• Participate in customer facing calls, demos, POCs, EBCs, internal strategy/sizing sessions, and other related solution-focused activities
• Solutions Roadmap participation/influence, daily conversations with Solutions Architects and Product Management about field impact, deals, and feedback from the field on existing solutions, etc.
• Stay abreast of advancements in both internal product offerings and external partner offerings as well as our competitors’ offerings
• Daily Slack availability and enablement, leading to customer/opportunity influence
• Partner with Sales & SE Leaders for two-way feedback and communication
• Be a beacon of positivity capable of inspiring and motivating the field to reach higher levels of success and attracting customers to adopt Pure Storage technology
• High degree of cross-functional engagement with other GTM and corporate functions
• Communicate, connect, and align people within the direct team and develop internal relationships across Everpure

WHAT YOU BRING:

• 10+ years of experience in the Information Security field, including hands-on experience designing, implementing, and maintaining comprehensive security architectures and standards
• Previous experience working in the financial services sector highly preferred, but not required
• Strong acumen in the Cybersecurity space including knowledge of the landscape and Pure’s solutions with a focus on the following:
• Deep understanding of industry standard security frameworks such as NIST CSF, NIST 800-53,  MITRE ATT&CK, CIA Triad, etc.
• Familiarity with Governance, Risk, & Compliance models across multiple verticals
• Expert level experience with security technologies and concepts such as SIEM, XDR, SOAR, IAM, DLP, EDR, etc.
• Familiarity/experience with threat modeling, penetration testing, vulnerability management, incident analysis and response, and forensic analysis and investigations
• Understanding of modern cyber threat and vulnerabilities landscape
• Working knowledge of cyber attack chains and potential mitigating factors
• Preferred professional level Information Security certifications such as CISSP, CCSP, CISA, CISM, or CCSK
• Strong understanding of infrastructure (servers, networking, storage, etc.) technologies and their role in a Cyber Resilience strategy
• Experience with Pure Storage is highly desirable, but not required
• Experience with leading data protection platforms such as Rubrik, Commvault, or Veeam is highly desirable, but not required
• Self-motivated individual with an ownership mindset who drives the business to overachieve expectations
• Exceptional level of specialized sales experience with Cybersecurity product solutions at both the technical and executive level
• Excellent oral and written communication skills with an ability to explain complex concepts simply
• Able to articulate and understand the customer strategy and Pure Storage’s solution strategy to a technical level of detail for the Cybersecurity domain and teach systems engineers and account executives these concepts
• Strong technical and tactical problem solving skills and experience with complex engineering designs
• Proficiency with CRM and opportunity management systems, preferably Salesforce.com
• Ability to travel throughout the US, Canada, and other territories as required
• Publications and Social Media presence is a plus

#LI-REMOTE

#LI-JL4

Okta: The World’s Identity Company™

Okta is the leader in Identity management and The World’s Identity Company™. Our mission is to build a more secure world. Okta provides a neutral, powerful, and extensible platform that puts identity at the heart of your stack. Our platforms secure all types of identity, including customers, employees, partners, and AI agents.

Top brands trust Okta. We are relied upon by two thirds of the Fortune 100 and over 40% of the Forbes Global 2000 for their Identity-powered journeys.

The Strategic Workforce Identity Opportunity

Okta Platform Focus: Workforce Identity Solutions. Travel: Some travel is required, including in-person onboarding and travel to our San Francisco, CA HQ OR Chicago office during the first week of employment.

This role is integral to the Strategic segment team, managing large enterprise organizations across various key industries such as Public Sector, Financial Services, Healthcare, Manufacturing, Retail, and Technology.

The Technical Account Management (TAM) team is a global group of Okta product experts dedicated to enabling existing customers to succeed. We deepen our understanding of each customer’s unique ecosystem to not only address present challenges but also to anticipate and innovate for the future.

As a Technical Account Manager, you will focus exclusively on Workforce Identity, serving as a trusted technical advisor and advocate for some of our largest customers. You will focus on strategic account alignment and broad deployment strategies to drive lasting success through elevated technical maturity.

Key Workforce Identity Solutions You Will Support:

The Okta Platform secures employees, contractors, and partners across every part of the Identity lifecycle, including governance, access, and privileged controls. Products include:

• Identity & Access Management (IAM): Single Sign-On (SSO), Adaptive MFA, Device Access, API Access Management, Secure Partner Access, Access Gateway, and Universal Directory.
• Identity Governance & Administration (IGA): Lifecycle Management and Identity Governance. (For example, Box enforces zero standing privileges with Okta Identity Governance).
• Privileged Access Management (PAM): Privileged Access.
• Identity Threat Detection & Response (ITDR): Identity Security Posture Management and Identity Threat Protection.

What You'll Be Doing

Strategic Customer Partnership & Influence:

• Build deep, long-lasting relationships with customers as their go-to technical advisor.
• Earn Okta trusted advisor status with customer identity owners and technical leadership, known as the primary point of contact for technical leaders.
• Possess and masterfully apply comprehensive technical expertise to solve complex problems, design sophisticated solutions, and influence customer strategies.
• Collaborate with customers to design identity strategies aligned with their business objectives.
• Leverage tailored technical plans for success with a portfolio of customers of increasing size and complexity.
• Help find ways to build upon and expand customers' adoption of the Okta footprint through additional use cases and increasing security posture.
• Use knowledge of how Okta's product differentiators lead to positive outcomes for customers, securing the Okta footprint against competitive displacement.

Complex Problem Resolution & Advocacy:

• Demonstrate advanced problem-solving skills, capable of dissecting complex, multi-faceted problems and orchestrating effective solutions.
• Proactively identify risks and create mitigation plans, establishing actions, ownership, and driving resolutions.
• Able to handle most customer technical escalations independently, or collaboratively with the Customer Success Manager (CSM).
• Manage competing priorities with little impact on delivery, ensuring follow through on all activity.
• Demonstrate a strong ability to represent and advocate for the customer with cross-functional teams (including engineering and support), while supporting policies and decisions that are in the best interests of the company.
• Facilitate difficult discussions with senior stakeholders.

Thought Leadership & Team Enablement:

• Serve as a thought leader, providing best practices, workshops, and training.
• Generate specific vertical/use case insights and thought leadership, demonstrating an advanced level of Okta platform and identity domain knowledge, with a focus on enhancing customers’ security posture.
• Generate higher value for customers and deeper TAM engagement through repeatable asset and strategy creation for the team.
• Mentor peers and colleagues, upskilling capability with a focus on technical development.
• Contribute to the development of adoption and retention strategies, sharing knowledge of customer patterns, and leading execution.
• Lead project tasks or initiatives aimed at improvement of TAM processes and knowledge.

What You'll Bring to the Role 

• Requires 6+ years of related experience in a professional role, or equivalent experience (e.g., 6+ years with a Master’s degree).
• 3+ years of experience as a Technical Account Manager (TAM) or a comparable role such as Technical Consultant, Product Management, or Solution Architect.
• 3+ years in identity and access management, including SSO, MFA, lifecycle management, or security best practices.
• Education: 
  • BA/BS/MS in Computer Science, Information Technology or related discipline, or equivalent work experience required.
  • Certifications: Okta Certified, CISSP, or equivalent.
• Technical Mastery (Workforce Identity Focus):
  • Extensive proficiency utilizing Okta feature sets and platforms to portray a design, or architecture, that satisfies well-known customer use cases to a customer technical persona including architect.
  • Able to modify existing quickstart or code samples to adapt them to the customer's requirements.
  • Confident in assisting TAM peers on technical challenges, or on behalf of other TAMs customers.
• Solid understanding of one or more of the following key areas:
  • Technologies and protocols to support identity federation and robust access control models (e.g., SAML 2.0, WS-Federation, OAuth, OpenID Connect).
  • Experience dealing with legacy applications in a hybrid IT environment with non-standard applications (i.e., those that do not support modern identity federation protocols).
  • SaaS deployment such as Salesforce, Box, Office 365, Workday, and HR as master for identities.
  • Lifecycle management scenarios to 3rd party systems and applications (Workflows, HR-driven provisioning, MSFT integrations, SCIM, etc).
  • Enterprise applications in the ecosystem to provide identity and attributes to applications or to harness an external application to help drive business processes (ITSM, HR, etc).
  • Security and performance monitoring and 3rd party signals integrations (SEIM, MDM, WAF, etc).
  • Awareness of augmentation of identity protocols and flows, capable of identifying augmentation that requires additional review.
• Communication and Leadership Skills:
  • Excellent communication skills, capable of translating complex technical topics into actionable insights.
  • Convey complex ideas in a compelling and easily understandable manner.
  • Ability to set expectations and communicate goals and objectives with customers at various levels, up to CxO.
  • Skilled in setting and enforcing appropriate boundaries with both internal and external stakeholders.
  • Ability to track and influence customer behavior and health metrics across a portfolio of accounts

#LI-MM1
#LI-Hybrid
P24882

AMER Portfolio Leader - Customer Success Director

Anaplan is a category-defining enterprise planning platform trusted by the world’s most sophisticated organizations to drive financial, operational, and strategic decision-making. Backed by Thoma Bravo, one of the leading software-focused private equity firms, Anaplan operates with pace, intensity, and a relentless focus on operational excellence and measurable performance.

As we scale into our next phase of growth, we are evolving our GTM post-sales coverage model to sharpen segmentation, increase execution rigor, and protect recurring revenue. Historically, accounts were managed in blended portfolios. As the business has grown, it is clear that differentiated customer segments require tailored motion, inspection cadence, and leadership focus.

To support this evolution, we are creating a dedicated AMER Portfolio Leader (CSD) role responsible for four segmented portfolios. This is a strategic investment in renewal discipline, operational command, and risk transparency for FY27 and beyond.

This is a highly visible role at the center of Anaplan’s post-sales GTM engine, ideal for a proven post-sales GTM leader looking to operate in a fast-paced, high-performance environment, launch a new GTM motion, and make a significant impact on the business and the model itself.

The individual must be an operator at heart; gritty, action-oriented, and relentless about getting things done all with an obsession of customer outcomes and value realized.

Strategic Mandate

• Establish operational command across four portfolios through disciplined segmentation and structured governance
• Build and institutionalize rigorous renewal inspection models with early warning indicators and mitigation plans
• Drive forecast accuracy and eliminate renewal surprises
• Partner closely with Sales leadership to align account strategy, commercial execution, and risk mitigation
• Elevate post-sales execution via performance management, accountability frameworks, and systems-based rigor
• Shape and refine a differentiated portfolio motion, with the opportunity to influence the evolving coverage model

Core KPIs

• Primary: Retention (renewal rate and risk mitigation)
• Secondary: NNACV expansion, CSQL generation, customer base health, forecast accuracy, and portfolio-level risk transparency

Retention is the foundation. Expansion and growth follow disciplined execution and strong customer health.

Core Leadership & Capability Profile

• Customer Success Mastery: Expert in renewal management, value realization, executive engagement, and proactive risk mitigation in complex SaaS environments
• Post-Sales GTM Leadership: Proven front-line leader with a track record of building high-performance teams, driving accountability, and operating with inspection rigor
• Growth & Ownership Mindset: High motor, grit, and resilience. Operates with urgency and intensity. Takes full ownership of outcomes and fosters a performance-driven culture
• Operational Systems Thinking: Builds playbooks, inspection cadences, and early warning systems to maintain command of the customer base
• Strategic Cross-Functional Influence: Partners effectively with Sales leadership and cross-functional teams to drive unified GTM execution and protect recurring revenue
• Business & Use Case Acumen: Connects enterprise planning use cases to measurable business outcomes
• Platform Fluency: Functional understanding of the SaaS delivery model and enterprise platform dynamics

Experience

• 12+ years in SaaS or enterprise software
• Significant post-sales leadership experience with a proven record of driving best-in-class retention
• Experience in high-performance, private equity-backed environments with a bias for execution and measurable outcomes
• Demonstrated success partnering with Sales leadership to drive aligned GTM execution

Location & Reporting

• Based in New York; applicants within close proximity will be considered
• Manages an initial team of 4 CSBPs across four portfolios
• Reports directly to an AVP of Customer Success
• Works closely with front-line leaders across Customer Success, Sales, Professional Services, Partner Alliances, Product, Support, Legal, and Operations to drive outcomes and performance

This is the ideal role for a strategic, high-performing post-sales GTM leader seeking to operate in a fast-paced, results-driven environment. Beyond managing a portfolio, this leader will architect and refine a new GTM motion, drive operational excellence, protect recurring revenue, and make an outsized impact on Anaplan’s business and post-sales model.

ABOUT CALIBER SERVICES MANAGEMENT

At Caliber, we are site maintenance and infrastructure experts. We deliver scalable solutions tailored to what you need and where you need it. We guarantee that we will deliver quality results on budget and on time. No more surprises, just first-class partnership through proactive communication, top notch professionalism, and reliable service. Caliber takes care of your sites so you can take care of your business.

We’re growing rapidly and building the national account infrastructure to match. This role is central to that trajectory.

THE OPPORTUNITY

We’re hiring a VP of Strategic Accounts to lead and grow our most important client relationships. The immediate focus is our anchor account — a top national multi-site operator — with the role scaling into broader strategic account ownership as Caliber grows.

You’ll be the executive face of Caliber to our top clients, the architect of our growth strategy within those accounts, and the leader of the team that delivers it. This is a ground-floor VP role with real influence over how we scale — not a seat in a bureaucratic enterprise.

WHAT YOU’LL DO

Own the Anchor Relationship

• Serve as Caliber’s senior point of contact at the executive level for our anchor national account. Drive scorecard performance above benchmark every quarter and protect the portfolio with zero churn.

Grow Revenue and Share of Wallet

• Build and execute multi-year account growth plans. Lead negotiations, renewals, and deal structuring. Turn cross-sell and upsell opportunities into signed contract value — targeting 20%+ year-over-year growth across the portfolio.

Build the Pipeline

• Develop a qualified pipeline of multi-site enterprise prospects and lead complex, long-cycle deals from first conversation to signed contract. Bring discipline to CRM hygiene, forecasting, and pipeline reporting. Year-one target: $50M+ qualified pipeline and at least one anchor multi-site, multi-year win.

Lead the Team

• Manage and develop a team of Account Managers and Directors. Set clear KPIs and individual development plans. Build the playbooks, tools, and processes that let the team scale without losing quality.

Own the Commercials

• Carry P&L accountability for revenue and margin across the strategic account portfolio. Partner with finance on forecasting, pricing, and deal economics.

Orchestrate Internally

• Partner closely with operations, service delivery, and finance to ensure Caliber’s execution matches what we sell. You are accountable for the client experience end-to-end — not just the contract.

WHAT SUCCESS LOOKS LIKE (YEAR ONE)

• 20%+ year-over-year revenue growth and expanded share of wallet across the portfolio
• A qualified $50M+ enterprise pipeline with at least five active negotiations and at least one anchor multi-site, multi-year contract signed
• $15M in net new contract value
• Zero account churn; client scorecards above benchmark every quarter
• A top-graded team with clear KPIs, development plans, and a documented account playbook in place

WHAT YOU’LL BRING

• 10+ years in strategic accounts, national accounts, or enterprise client leadership — ideally at an IFM, commercial real estate services, or multi-site facility services provider
• A track record of growing complex, multi-site B2B portfolios year over year, with demonstrated wins on large, long-cycle deals
• Executive presence and the ability to build trusted relationships at the C-suite and VP of Real Estate or Facilities level
• Experience leading and developing high-performing account teams, and influencing across a matrixed organization without direct authority
• Strong commercial acumen — P&L, margin management, forecasting, contract structures, and deal economics
• KPI-driven mindset with disciplined CRM and pipeline rigor
• A history of leading through change and transformation in complex, fast-moving organizations

WHO THRIVES AT LEO

We hire for three things above all else: Drive, Leadership, and Business IQ. We move fast, we hold ourselves accountable, and we expect everyone — regardless of title — to be willing to get their hands dirty. If you’re looking for a seat in a slow-moving organization, this isn’t it. If you want to build something and own the results, you’ll fit right in.

COMPENSATION

Base salary: $200,000 – $225,000, depending on experience and market location, plus performance-based incentive compensation. Caliber Services Management determines pay based on the cost of labor across US geographic markets, scope of responsibility, and relevant experience.

Caliber Services Management is an equal opportunity employer.

#LI-LL1

Shift4 is expanding globally and hiring for a newly-created role! We are seeking a key Lead FP&A (Financial Planning & Analysis) Business Partner to support our Product Organization. You will be the financial architect embedded within our Product and Engineering teams, helping to steer the ship for our flagship products, payments platforms, and international expansion initiatives.

Responsibilities

You will serve as the strategic "co-pilot" to our Product leaders, ensuring that our innovation is backed by rigorous financial logic and high-yield ROI.

• Strategic Business Partnering: Act as the primary financial advisor to the Product Organization. You’ll translate complex product roadmaps into financial forecasts and help leaders make data-driven decisions on resource allocation.
• Go-To-Market (GTM) Support: Partner with the Product Marketing and commercial teams to build financial models for new product launches, tracking payback periods, LTV:CAC, and attach rates.
• Full-Cycle Financial Management: Lead the annual budgeting and monthly forecasting processes for the Product org. You’ll own the "why" behind the numbers, providing deep-dive variance analysis that goes beyond the spreadsheet.
• Performance Metrics & Reporting: Develop and monitor KPIs specific to our verticals and product-level P&Ls. You’ll turn raw transaction data into actionable insights for the executive team.
• Investment ROI & Modeling: Build robust, driver-based models to evaluate the financial viability of new features, strategic acquisitions, and international expansion .
• Operational Excellence: Partner with the Accounting team during the close cycles to ensure accuracy in R&D capitalization and departmental spend.

Qualifications

• 4–6 years of experience in FP&A, Corporate Finance, or Strategic Planning, ideally within the Fintech, Payments, or SaaS sectors.
• High proficiency in financial modeling and a "product-first" mindset. You understand how a line of code translates into a transaction fee or a subscription renewal.
• Expert-level Excel/Google Sheets skills. Experience with ERP/Planning tools and BI tools is a major plus.
• You embody our core values of Boldness, Excellence, Ownership, and Trust. You don't wait for permission to solve a problem; you own it from end-to-end.
• Ability to present complex financial data to non-finance "Product People" in a way that is clear, compelling, and actionable.
• Solid communication skills in English, both verbal and written.

DoW SkillBridge Internship - Mission Control Operator

Location: On Site at Shift4's Mission Control Center in Center Valley, PA Headquarters

The DoW SkillBridge program allows active-duty service members to participate in civilian internships, apprenticeships or training during their final months of service. Participants remain on active duty, continue receiving full military pay and benefits, and gain real-world work experience with approved industry partners. For more information, and eligibility requirements, visit Shift4 DoW SkillBridge Program

Description:

Shift4 (NYSE: FOUR) is pushing the boundaries of Financial Technology through the creation of a new internal system, Mission Control. Like the name suggests, this system will be akin to the control rooms of the Space Shuttle and Apollo programs, where holistic company wide information is flowed from external systems across the business to a single, unified location. Subject matter experts will be able to analyze and action on data directly, allowing for fast response and creation of automation that can then identify and prevent similar issues in the future. 

As a Mission Control Operator, you will be one of the fundamental components of bringing this new vision to life. You will command and control different Shift4 business systems through our Mission Control interface, make decisions about how to direct and redirect resources, and become a technical subject matter expert in specific business divisions based on your experience. You will support the development of this new operational model and build with our engineering teams to bring new features and functions to Mission Control. 

This internship aligns well for transitioning military members currently at the E4 or E5 level experienced in the following military arenas: 

• Command Post
• Maintenance Operations Center (MOC)
• Crew Chiefs - backing up
• SPOC (Space Ops Center)
• Missile Warning Ops
• Operations Center

Responsibilities:

• Operate one or more Mission Control modules, ranging from supply chain operations to customer service, to technical payment infrastructure, representing and directing these teams when necessary for Mission Control operations.
• Work hand in hand with our business divisional leaders to learn the nuance and current operations, and develop SOPs to support the integration of Mission Control systems to those divisions. 
• Write operational documentation and execute daily, weekly, and monthly Mission Control Procedures.
• Identify, architect, and implement new Mission Control functionalities with support from Mission Control engineering teams. 
• Design and implement communication methods, escalation strategies, quality assurance protocols, and response plans to ongoing business and technical issues that Mission Control will identify. 
• Develop automation strategies to remove parts or process steps with high accuracy and quality to increase overall efficiency of Shift4 systems. 
• Expand the vision, and collaborate with stakeholders to ensure the functionalities of the system are aligned with company objectives. 

Minimum Qualifications:

• Ability to meet the core eligibility requirements of the DoW SkillBridge program (see above link). 
• 2+ years of experience operating in or developing complex systems such as mechanical, electrical, facilities, O&G, aerospace, or industrial automation or relevant experience gained within the military and/or other?
• Highly competent communication skills in English, both written and verbal. Excel in distilling information from dense technical systems into concise and clear documentation, and have experience communicating those consolidations to leadership.
• Personal experience leading technical projects, including conception, development, and implementation. 
• Previous experience in an operational and workflow oriented role.

Additional skills that are a plus to have:

• Professional Degree in a relevant field.
• Experience interacting with data systems such as Grafana, Tableau or other graphical user interfaces. 
• Personal experience utilizing operational software systems, including First Resonance ION, or a wholesale ERP such as SAP. 
• Experience with real time, time series data and creation of workflows around data indicators. 
• Experience with operational fundamentals such as corrective action reporting, non-conformances, inventory management, and data governance. 
• Python, Pyspark, or other programmatic skills.
• Experience with one of the following platforms: Palantir Foundry, Mulesoft.

Motional’s Pittsburgh office is located in the new Hazelwood Green development, a culmination of the city’s goal of restoring an economic driver to the neighborhood in a thoughtful, inclusive, and sustainable way. With views along the Monongahela river, the Pittsburgh office is in the heart of this new state of the art development.

Mission Summary:

The Senior Engineer Team Lead is responsible for the validation of the autonomous vehicle stack with a primary emphasis on the interface between software and physical hardware. This role leads the development and execution of Hardware-in-the-Loop (HIL) testing strategies to ensure that perception, planning, and control algorithms interact safely and reliably with vehicle sensors, actuators, and ECUs.

You will be the technical authority for HIL bench architecture and hardware-software integration, ensuring that the "brain" of the vehicle commands the physical "body" with millisecond precision and fail-safe reliability.

Essential Duties:

• HIL Strategy & Architecture: Lead the design, setup, and maintenance of high-fidelity HIL test benches (e.g., dSPACE, NI, or Speedgoat). Define the hardware-software mapping required to simulate real-world vehicle dynamics.
• Hardware-Software Integration: Own the validation of the Drive-by-Wire (DBW) system, ensuring steering, braking, and acceleration commands meet safety-critical latency and accuracy requirements.
• Fault Injection & Robustness: Design and execute complex hardware fault-injection campaigns (e.g., sensor signal loss, CAN bus flooding, power interrupts) to validate system-level safety monitors.
• Communication Protocol Expert: Direct the testing of automotive communication networks, including CAN, CAN-FD, Automotive Ethernet, and LIN, using tools like Vector CANoe/CANalyzer.
• Multi-Modal Validation: While focusing on hardware, maintain oversight of SIL and closed-course testing to ensure HIL results correlate with virtual and physical track performance.
• Mechatronic Debugging: Lead root-cause analysis for complex electromechanical issues, utilizing oscilloscopes, multimeters, and logic analyzers to debug signal integrity and power distribution.
• Tooling & Automation: Architect Python-based automation frameworks for HIL regression suites, reducing manual bench time and increasing test coverage.
• Safety Compliance: Act as a lead reviewer for ISO 26262 functional safety requirements, specifically focusing on Hardware-Software Interface (HSI) specifications.
  
  

Qualifications:

• Education: Bachelor’s or Master’s degree in Electrical Engineering, Mechatronics, Mechanical Engineering, or Robotics.
• Experience: 5+ years in Systems/Hardware testing, with at least 3 years focused on HIL simulation within the automotive or aerospace industry.
• Technical Mastery:
• Hardware: Expert knowledge of ECUs, sensors (Lidar/Radar/Camera), and mechatronic actuators.
• Simulators: Proven experience configuring real-time simulation environments (e.g., dSPACE ControlDesk, NI VeriStand, or IPG CarMaker).
• Scripting: Expert proficiency in Python for test automation and Matlab/Simulink for plant model integration.
• Domain Expertise:
• Deep understanding of automotive electrical architectures and power management.
• Experience with sensor calibration and synchronization across hardware interfaces.
• Familiarity with SOTIF (ISO 21448) and how hardware limitations impact autonomous functionality.
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

This role is based in our Pittsburgh office and requires in-office days each week.

Mission Summary:

Motional is seeking a Staff Front End Engineer expert for its Web Visualization Tooling team.  This role will directly contribute through the creation of critical web tooling and visualization that allows us to improve our feedback loops for machine learning (ML) engineers and improve the performance and adaptability of our autonomous vehicle (AV) system.

What you'll be doing:

• Drive cross-team standards and best practices for web development
• Own cross team collaboration, ensuring deliveries are made on time and effectively
• Architect and scale a modern frontend ecosystem using React, TypeScript, and Vue.
• Collaborate closely with ML, frontend, UX, data services, data mining, and data annotation teams to align tooling with real-world workflows
• Build mission-critical UI systems used by a variety of internal customers.
• Design initiative experiences for complex, data-heavy workflows.
• Drive best practices around performance, scalability and maintainability
• Ship quickly and iterate in a product driven environment.
  
  

What we're looking for:

• Desire to design and build user-facing visual applications, and a passion for good UX.
• Strong proficiency in React, Typescript and modern frontend architecture
• Proficiency in Vue
• Strong product sense with a focus on UX and usability.
• Ability to work with high ownership and autonomy.
• Ability to work autonomously and independently, and to drive development initiatives with little oversight. High aptitude for learning and organization skills.
• Great interpersonal skills and ability to mentor and (on occasion) delegate to other engineers at various levels of relative seniority.
• A well-established technical design and documentation habit
• Capability to work directly with customers to identify foundational needs and provide solutions.
  
  

Bonus Points(not required): 

• Demonstrated project management expertise / advanced hands-on understanding of project management agility and operational excellence.
• A love for the continuous delivery of value.
• Exposure to backend systems (Node, Python)
• Experience in Game Development or 3D Visualization

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

Mission Summary:

At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.

As a Senior Machine Learning Engineer on the Data Mining team, your mission is to build the "Brain" of this engine: designing massive multimodal Teacher models that understand the world, and distilling them into hyper-efficient Student models that can scour exabytes of data in near real-time. You will work at the intersection of large-scale representation learning, retrieval optimization, and reasoning systems. Your work will directly influence how we compress knowledge into efficient encoders for fast search, and how we apply reinforcement learning to optimize data discovery workflows and intelligent querying. By building smarter mining tools, you will accelerate the entire model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

• Architect and Train Distilled Models: Design and implement teacher-student model frameworks for multimodal sensor data. Develop training pipelines for knowledge distillation. Ensure student models maintain high accuracy while drastically reducing inference latency and memory footprint.
• Reinforcement Learning for Data Discover: Build RL-based policy learning and reasoning systems for autonomous driving applications. Implement and scale RL training workflows (e.g., PPO, DQN, actor-critic methods) for simulation and real-world interaction. Explore reward shaping, environment modeling, and multi-agent RL where applicable.
• Optimize Model Deployment for Real-Time Inference: Collaborate with backend engineers to deploy distilled and RL models into production. Optimize for latency, throughput, and hardware efficiency across GPU/CPU clusters. Implement model versioning, A/B testing, and monitoring for performance regressions.
• Research and Integrate Agentic Systems: Explore and prototype agentic workflows for autonomous reasoning, chain-of-thought prompting, and goal-directed behavior. Integrate such systems into our broader autonomy stack as experimental or production components.
• Drive Production Reliability: Establish patterns for graceful degradation, fault tolerance, and cost optimization. Operate Omnitag as a mission-critical data platform serving the entire ML organization, with a focus on reliability, debuggability, and operational excellence.
• Mentor and Collaborate: Work closely with ML scientists, data engineers, and autonomy teams to translate research advances into scalable engineering solutions. Guide junior engineers in best practices for model training, evaluation, and deployment.

What We're Looking For:

• BS in Computer Science, Machine Learning, or related field, or equivalent professional experience.
• 6+ years of hands-on experience in machine learning engineering, with a focus on model post training, optimization, and deployment.
• Strong experience with model distillation or teacher-student training - practical knowledge of loss functions, training strategies, and evaluation of compressed models.
• Proven experience with reinforcement learning in production or research settings: policy optimization, reward design, simulation environments, and RL-based reasoning.
• Expert-level proficiency in Python and ML frameworks (PyTorch, TensorFlow, or JAX).
• Strong software engineering fundamentals: testing, CI/CD, containerization, and system design.
• Experience deploying ML models in cloud environments (AWS, GCP, or Azure) and optimizing for inference.
• Demonstrated ability to ship production-grade ML systems and mentor team members.
• Demonstrated track record of shipping robust, well-tested, production-grade systems and mentoring junior engineers

Bonus Points (Nice-to-Haves):

• MS/PhD in Computer Science, Machine Learning, or related field.
• Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
• Background in autonomous driving, robotics, or real-time decision-making systems.
• Familiarity with multimodal learning, sensor fusion, or embodied AI.
• Experience building active learning loops, using the model to find the data that breaks the model.
• Experience with ML-based data mining, active learning, or contrastive learning.
• Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
• Publications or open-source contributions in RL, distillation, or efficient ML.
  
  

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

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

The journey to developing our cutting-edge self-driving truck Driver software requires a massive and continuous computational effort. Every day, Aurora's engineers initiate and manage millions of compute tasks, systematically processing and analyzing petabytes of critical data. This colossal computational workload spans various essential domains, including raw and derived data processing pipelines, large-scale simulations to test and validate the software in countless scenarios, and the intensive machine learning training jobs that are the core of our autonomous system's intelligence.

At the heart of orchestrating this monumental compute infrastructure is the Compute team. This team is dedicated to building and maintaining the foundational technology that solves the fundamental challenges of resource scheduling, task isolation, and distributed state consistency across our massive batch compute fleet. At our scale, traditional off-the-shelf orchestrators break. The Compute team builds the custom engine - BatchAPI - that manages the lifecycle of millions of tasks - built on top of K8s primitives but implements our own custom scheduler.

We deal with the 'unsolved' problems of distributed computing: maximizing hardware utilization while ensuring that a failure in one node doesn't cascade across the entire cluster. This engine is engineered to handle massive scale, ensuring reliability, efficiency, and rapid turnaround for our engineers.

Furthermore, the Compute team empowers engineers across the company to effectively harness this compute power. They develop and maintain the Batch Workflows Python SDK. This framework provides an intuitive, high-level interface that allows engineers to programmatically define, construct, deploy, monitor, and manage their complex computational workloads. The SDK abstracts away the complexities of the underlying infrastructure, enabling engineers to focus purely on the logic and goals of their data processing, simulation, or training tasks, thus accelerating the entire development cycle for the Aurora Driver.

In this role you will

• Design, implement, and maintain core components of the high-performance, large-scale distributed batch compute engine (BatchAPI). Architect and optimize the scheduler, resource allocator, and execution engine of BatchAPI to handle bursty, heterogeneous workloads with minimal overhead.
• Design low-latency APIs and resilient communication protocols that bridge our Python SDK with the Golang-based core engine.
• Develop high-level workflow abstractions, enabling engineers across the company to programmatically define, deploy, and manage complex data processing, simulation, and ML training pipelines. 
• Solve complex problems in distributed locking, throttling, and fair-share scheduling to ensure multi-tenant stability.
• Drive continuous improvements in the performance, scalability, and resilience of the entire compute infrastructure, implementing robust monitoring and alerting systems to maintain operational excellence for critical workflows.
• Collaborate closely with infrastructure and product engineering teams (e.g., Autonomy, Data, Simulation, Machine Learning) to gather requirements, provide expert consultation, and integrate compute workflows with key company systems.

Required qualifications

• 5+ years of professional software engineering experience.
• Deep expertise in Golang (for core systems) and Python (for SDK/API layering).
• Strong understanding of distributed systems fundamentals (e.g., CAP theorem, consensus algorithms, or gossip protocols).
• Experience with performance profiling and tuning (e.g., memory management, I/O bottlenecks, or network latency optimization).
• Specialized knowledge of container orchestration systems like Kubernetes.
• Proven track record of driving continuous performance, scalability, and resilience improvements in production environments managing critical data.
• Familiarity with cloud provider compute and data services (e.g., AWS EKS, S3, RDS).

Desirable qualifications

• Experience working with computational workloads specific to the autonomous vehicle, robotics, or large-scale machine learning domains (e.g., data processing for perception, simulation, or model training).
• Demonstrated ability in creating and refining user-facing tools, including adeptness at incorporating user feedback, managing expectations, and effectively prioritizing development based on user needs.
• Web UI development experience (Typescript, React)

 #LI- #Mid-Senior 

The base salary range for this position is  $146,000 - $234,000 per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are searching for an exceptional Senior Staff Tech Lead to join the Aurora Services Engineering team and take on a critical role in building Aurora's suite of fleet management tools.

The Aurora Services Engineering team creates full-stack solutions including backend services, web apps, mobile apps, and real-time onboard code that enable commercial operation of autonomous vehicle fleets at scale. Our mission is to build the software that drives the commercial side of our platform such as assigning work to autonomous vehicles, providing remote support, managing a fleet of vehicles, and receiving orders from customers. As Aurora prepares to massively scale its fleet and integrate with partners on an API level, the tools we build are critical to the efficient daily operation of our business.

As the Tech Lead for the Dispatching & Partner Integrations team, you will lead design & implementation of solutions for Autonomous Vehicle Fleet Management and Partner API integrations with some of the biggest companies in the trucking industry. You will add new features to existing products and greenfield completely new ones to make a significant impact on the way commercial fleet operations function at Aurora.

In this role, you will:

• Partner with Product Managers, Designers, Autonomy, and Operation Stakeholders to deliver the benefit of Self Driving Vehicles quickly, safely and broadly.
• Architect and build scalable cloud services that power real-time and offline data flows essential for fleet optimization, autonomy improvement, and commercial operations.
• Develop and deploy robust, well-engineered solutions, leveraging modern cloud technologies and building highly available, low-latency backend services, APIs, and data pipelines.
• Design complex systems from the ground up. Partnering closely with Software, Hardware and infrastructure engineering teams.
• Mentor and grow senior engineers, raising the technical bar for the entire organization through code reviews, design discussions, and promoting a culture of engineering excellence.
• Translate complex operational data and autonomy metrics into actionable insights through scalable operator-facing tools and powerful APIs, directly improving our efficiency and product.

Required qualifications:

• BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experience.
• 8+ years of industry experience, with a deep specialization in Golang for building and operating large-scale, high-concurrency backend systems.
• Expert-level ability to design and build large-scale gRPC services in Go, with a focus on idiomatic patterns, efficient memory management, and high-throughput concurrency models.
• Deep expertise in building scalable web services and distributed systems within the Go ecosystem, including integration with AWS, Kubernetes, and Elasticache.
• Experience working with Product Management and UI/UX Design teams to define & deliver features that impact end users at scale.
• Proficiency with cloud infrastructure and DevOps practices (e.g., AWS, Kubernetes, Elasticache, CI/CD, and monitoring/alerting systems).
• A track record of driving technical strategy and conducting high-level Go code reviews, ensuring engineering excellence, and mentoring senior engineers in idiomatic Go best practices.
• Experience defining technical roadmaps and driving long-term strategic projects that span multiple engineering teams.
• Phenomenal communication skills. We build software with people and for people. You know how to write an effective technical spec, provide feedback to others, translate technical concepts into lay terms, and incorporate feedback into your efforts. You value and practice openness, empathy, kindness, and collaboration.
• A preference for action. You will use good judgment to balance speed and quality. You will deliver products that are built in a responsible and sustainable way. You will use a self-starter mentality to thrive in a growing environment where all hands are on deck, and consider no obstacle too big or too small. You will notice where there is a need and will hustle to fill it.

Desirable Qualifications:

• Experience with safety and mission critical applications.
• Experience in onboard C++ development for autonomous vehicles or other robotics.
• Experience in operations research or optimization algorithms.
• Experience in transportation, logistics, or other time-sensitive operations.
• Experience with fleet management solutions for Robots, Vehicles or Aerial Drones.
• Experience with external customer facing software including production rollout with real customers.

The base salary range for this position is $191,000 - $306,000. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-Staff

We are seeking a hands-on IAM Engineer to support the technical execution of our modern identity ecosystem. You will be the primary "labor" engine responsible for implementing our newly licensed tools (Conductor One and Ping Directory). You will be working closely with the IAM Architect in this role.

We’ve moved past the basics; our stack is built on Zero Trust principles, featuring SPIRE, Open Policy Agent (OPA), and a custom-built group management engine. You will own the full IAM lifecycle, evolving our existing infrastructure into a scalable, modern ecosystem that serves as a competitive advantage for our operations.

In this role you will

• Platform Implementation: Complete baseline environment configuration for Ping Directory and Conductor One across Dev and Prod tiers.

• Workforce Automation: Integrate HRIS (Workday) with the IGA platform to automate Joiner-Mover-Leaver (JML) processes.
• Technical Connectivity: Build and validate production-ready connectors for the core ecosystem, including Okta, AWS, Google, Slack, and Squad.
• Compliance Hardening: Deploy "Justify or Revoke" workflows and automated reporting to support SOX/ISO privileged access reviews.
• Identity Isolation: Execute the migration of Workforce and Service identities to Ping Directory.
• Operational Readiness: Define technical test plans, draft formal procedural documentation for audits, and create system runbooks for the permanent operations team.

Your primary focus will be the build, deployment, and configuration of the core IAM platform.

Required qualifications

• Experience: 4+ years in Information Security, with at least 2 years specifically focused on implementing IAM solutions in large enterprise environments.
• Identity Expertise: Expert-level knowledge of at least one major Cloud Identity Provider (AWS IAM, Azure) and core protocols including SAML, OAuth 2.0, OIDC, SCIM, and LDAP.
• Modern Principles: Deep understanding of Zero Trust principles and access models such as RBAC, ABAC, and PBAC.
• Education: Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience.
• Ability to develop code in either Python or Go.

Desirable qualifications

• Identity Providers: Experience with integration patterns with IdPs such as Okta, Auth0 or Microsoft Entra ID.
• IGA/PAM: Experience with Conductor One, SailPoint, Saviynt or similar platforms.
• Directory Services: Hands-on experience with Ping Directory or similar LDAP solutions. Including monitoring for performance and fine-tuning CPU, Memory and Storage.
• Cloud Infrastructure: Understanding of AWS cloud infrastructure and security concepts. Comfortable with Kubernetes and Infrastructure-as-Code (IaC) such as Terraform and Helm and CI/CD platforms such as ArgoCD.
• API Security: Experience protecting APIs using OAuth scopes and claims.
• Troubleshoot and resolve complex integration and performance issues across the IAM stack.

The base salary range for this position is  $146,000 - $211,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

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

We’re searching for a Senior software engineer to join Aurora’s Vehicle Data Management team. The Vehicle Data Management Team is responsible for offloading, ingesting and scaling data through various pipelines, including autonomy sensor data, vehicle logs, sims, models, and training sets. The ideal candidate will design and implement systems that efficiently work for both physical offloaders and cloud, and also be an effective liaison between onboard system to cloud system.

In this role, you will

• Architect and implement on-vehicle/offload + cloud data systems that scale to hundreds of PB of multimodal data (sensor/log/sim/ML datasets).
• Improve reliability and performance of offline data workflows: throughput, latency, and discoverability (indexing/metadata/search).
• Build internal tooling, libraries, and operational patterns that make data pipelines  evolve and scale.
• Own key services end-to-end (design, implementation, rollout, on-call/operations, observability, and incident response).
• Partner directly with stakeholders across onboard systems, autonomy, ML, and infrastructure to deliver pragmatic solutions.

Required Qualifications

• BS/MS or PhD in Computer Science or a related field
• Minimum 3-5 years related experience
• Required programming skills: GoLang/Python
• General knowledge of backend software systems networking, load balancing, API gateways, system security, gRPC services.
• AWS infrastructure experience, including S3 and DynamoDB in a production commercial system
• Knowledge of database design, database management and database scalability.

Desirable Qualifications

• Proficiencies with coding in C++ 
• Proficiencies with Linux system 
• Experience with large scale distributed systems or microservice architectures
• A passion for writing robust, intuitive, high-performance code, and being pragmatic about it
• Ability to navigate and work efficiently in large codebase 
• Strong software development background demonstrated by industry experience in building platforms that serve AV development and commercialization.

The base salary range for this position is  $146,000 - $234,000 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #LI-#Mid-Senior 

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

We are looking for a Senior Staff Software Engineer to join our Performance Engineering and Optimization (PeO) team. As a technical leader in this high-impact group, you will spearhead efforts to push the boundaries of our system's efficiency, ensuring our technology remains at the forefront of the industry. This is a rare opportunity to own the performance roadmap for a commercialized product, tackling complex, large-scale engineering challenges that directly influence the reliability and speed of our fielded environment.

In this role you will

• Lead cross-functional performance initiatives to identify and resolve systemic bottlenecks, significantly improving end-to-end latency and system throughput.
• Architect and implement advanced system instrumentation frameworks to provide deep visibility into modern OS-level performance metrics.
• Drive the technical strategy for C/C++ optimization, mentoring junior engineers and establishing best practices for high-performance systems-level programming.
• Collaborate with product and infrastructure teams to ensure that performance remains a core pillar throughout the product lifecycle, from initial design to field deployment.
• Analyze and interpret complex telemetry data from fielded environments to proactively address performance regressions and optimize resource utilization.

Required qualifications

• 8–10+ years of professional experience in systems-level programming
• Lead C/C++ optimization and system instrumentation to improve latency and throughput.
• Experience delivering and supporting a commercialized product in a fielded environment.
• Hands-on expertise with modern OS-level instrumentation toolkits 

Desirable qualifications

• Proven track record of technical leadership for large-scale performance engineering projects within the autonomous vehicle or robotics industry.
• Deep familiarity with Linux kernel internals, memory management, and hardware-software co-design principles.
• Experience with specialized profiling tools (e.g., eBPF, perf, or Ftrace) and automated performance regression testing suites.
• Advanced degree (Master’s or PhD) in Computer Science, Computer Engineering, or a related field with a focus on systems performance.

The base salary range for this position is $171,000.00-$273,000.00 per year.  Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

 #Mid-Senior 

#LI-td-1

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We are seeking a ML Engineering TL to join the Behavior Planning Team. This is a high-impact role where you will sit at the frontier of autonomous vehicle technology. You won't just be applying AI and ML methods; you will be advancing the state-of-the-art for how a self-driving system reasons about the world, interacts with humans on the road, and masters complex, high-dimensional decision-making.

In this role, you will

• Define the architecture of our onboard planning models: Develop and deploy large-scale models trained with Imitation Learning and Reinforcement Learning that enable the Aurora Driver to navigate complex environments with human-like fluidity and superhuman safety.
• Build our next-generation simulation engine: Architect cutting-edge offboard foundation models that power our simulation engine, creating realistic "world models" to test the Aurora Driver against an infinite variety of edge cases.
• Revolutionize evaluation: Develop powerful offboard critic models that can evaluate driving behavior at scale, identifying subtle nuances in comfort, progress, and safety that traditional heuristics miss.
• Bridge research and production: Reach new frontiers of autonomous driving technology by pushing forward the state-of-the-art, but also deploy your models on real production vehicles that drive on public roads and must meet the highest standards of safety. 
• Mentor and lead: Serve as a technical lead, guiding junior engineers and shaping the long-term roadmap for ML-based planning at Aurora, including the onboard and off-board ecosystem that is needed to support it.

Required Qualifications

• MS or PhD in Robotics, Machine Learning, Computer Science, or a related quantitative field, or equivalent practical experience.
• 8 + years of experience developing state-of-the-art ML models, either in a research or production setting.
• Hands-on experience working on Imitation Learning or Reinforcement Learning applied to physical or simulated agents.
• Experience training large models on massive datasets using distributed computing.
• Fluency in Python, with a focus on writing high-performance, maintainable code.
• Deep experience with PyTorch (preferred) or another modern ML framework, and a mastery of modern ML architectures including Transformers and Diffusion Models.

Desirable Qualifications

• A track record of publications in top-tier ML conferences (NeurIPS, ICML, CoRL, CVPR, AAAI).
• Experience deploying complex ML systems in production environments.
• Experience in developing generative models or neural simulators for synthetic data generation.
• Experience leading small or large teams to execute highly technical projects.

The base salary range for this position is $171K - $247K per year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

#LI-JL261

#Mid-Senior 

CSQ227R88

Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. Candidates with an active Secret or higher clearance are strongly encouraged to apply.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

About the Role:

Rumble Cloud is seeking a Principal Database Architect to own the architecture, technical direction, and successful delivery of our Database as a Service (DBaaS) offering within our public cloud platform. This role will take over a product already in active development and guide it through hardening, integration, launch, and global scale-out. You will be responsible for shaping the long-term technical roadmap of the service, ensuring it is secure, reliable, performant, and operable at scale for customers worldwide. You will work closely with our development team, engineering team, and early adopter customers to refine the design, drive high-quality implementation, and build the patterns and practices that future engineers will follow.

Key Responsibilities:

• Own the end-to-end architecture of the DBaaS product, including multitenancy, high availability, disaster recovery, backup/restore, observability, and security.
• Review and influence existing epics, stories, and technical designs, identifying gaps and driving improvements.
• Define and maintain architectural standards and patterns for databases across our public cloud (provisioning, configuration, lifecycle management, monitoring, security).
• Work closely with platform, networking, and security teams to integrate DBaaS into our cloud infrastructure, including identity, networking, billing, self-service, and automation.
• Collaborate with Product Management to align technical roadmap with product vision, SLAs/SLOs, and customer requirements.
• Serve as the highest-level technical escalation point for DBaaS-related issues in development, staging, and production environments.
• Support onboarding and success of early “friendly” customers: assist with deployments, performance tuning, troubleshooting, and architecture guidance.
• Define and evolve operational runbooks, incident response patterns, and SRE practices for the DBaaS platform.
• Mentor and coach other engineers and architects as we build an internal team around the service, raising the overall bar for database and data platform expertise.
• Establish and enforce security, compliance, and data protection best practices for the DBaaS offering (encryption, access control, auditing, regulatory considerations).
• Participate in capacity planning and cost optimization, ensuring the service is economically viable at scale.
• Conduct periodic architecture reviews and post-incident reviews, driving continuous improvement in reliability and customer experience.
• Support and advise internal teams on the operation, performance, and troubleshooting of existing database clusters, in addition to primary ownership of the DBaaS platform.

Required Skills & Experience:

• Expert-level experience in database engineering, data platforms, or infrastructure, with significant ownership of production database systems or services.
• Deep expertise with at least one major relational database engine (e.g., PostgreSQL, MySQL, MariaDB, or similar), including replication, backup/restore, performance tuning, and operational best practices.
• Solid understanding of cloud infrastructure concepts, including compute, networking, storage, and security in public cloud or large private cloud environments.
• Experience integrating databases or DBaaS-like offerings with cloud control planes, APIs, and automation/orchestration systems.
• Strong background in reliability engineering for data services (monitoring, alerting, SLOs, incident management, capacity planning).
• Familiarity with security and compliance requirements for database services (encryption at rest/in transit, access control, auditing, data retention, regulatory considerations).
• Proficiency with infrastructure-as-code and automation tools (e.g., Terraform, Ansible, or similar) and comfort working with CI/CD pipelines.
• Scripting or programming skills (e.g., Python, Go, Bash or similar) for automation, tooling, and integration.
• Proven track record of technical leadership: influencing designs across teams, mentoring engineers, and making clear trade-off decisions.
• Excellent communication skills, with the ability to work effectively with external vendors, internal stakeholders, and customers.

Nice to Have (Preferred Skills):

• Strong, hands-on expertise with both MySQL and PostgreSQL databases.
• Experience designing or operating multi-tenant, high-availability, and distributed database architectures in a cloud or large-scale environment.
• Experience designing or operating a DBaaS offering (e.g., Amazon RDS/Aurora, Azure Database, Cloud SQL, or similar managed services).
• Knowledge of NoSQL or specialized data stores (e.g., Redis, MongoDB, Cassandra) and when to apply them.
• Experience in Kubernetes-based data workloads, operators, or stateful services.
• Familiarity with multi-region architectures, data residency, and geo-replication patterns.
• Exposure to observability stacks (e.g., Prometheus, Grafana, ELK/OpenSearch, OpenTelemetry) for data services.
• Relevant certifications in databases, cloud architecture, or security are a plus.

Qualifications:

• Demonstrated success owning the architecture and technical direction of a mission-critical platform or service.
• Strong customer empathy and a track record of working directly with users or customers to solve complex technical problems.
• Ability to operate at both strategic and hands-on levels, from roadmap and design reviews down to debugging complex production issues.

Annual Compensation Range: 

$185,000 -  $265,000 USD base + benefits + equity (If based in the United States)

$170,000 -  $200,000 USD base + benefits + equity (If based in Canada)

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ127R319

As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Ability to travel up to 30% when needed

CSQ127R318

As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of  professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps 
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification

CSQ227R87

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

About the Role:

Rumble Cloud is seeking a Kubernetes Engineer to support our team in rolling out and operating our next-generation Kubernetes platform. This role will focus on our new CAPI/CAPO-based Kubernetes solution, which is designed to be compatible with our existing OpenStack Magnum API and will be deployed across our public cloud. You will help run the day-to-day operations of the Kubernetes service, assist with migrations and onboarding from our current Magnum-based offering, and act as an escalation point for complex customer issues that go beyond front-line support. This is a hands-on engineering role for someone who enjoys debugging difficult problems, improving reliability, and working closely with both platform engineers and customer-facing teams.

Key Responsibilities:

• Operate and maintain Rumble Cloud’s Kubernetes platform, including our new CAPI/CAPO-based installation and its integration with the OpenStack Magnum API.
• Assist in the rollout, migration, and upgrade processes as customers transition from the existing Magnum-based solution to the new platform.
• Serve as an escalation point for customer support, troubleshooting complex Kubernetes and cluster lifecycle issues.
• Monitor the health, performance, and capacity of Kubernetes clusters and underlying infrastructure; assist in incident response and root cause analysis.
• Implement and maintain day-2 operations processes, including backup/restore, scaling, patching, and cluster upgrades.
• Collaborate with the Kubernetes Architect to implement standards, best practices, and reference patterns for cluster configuration and operations.
• Help manage and integrate container registries, identity, networking, and storage components required for the Kubernetes platform.
• Automate repetitive operational tasks using scripting and infrastructure-as-code tools.
• Contribute to and maintain runbooks, documentation, and knowledge base articles for both internal teams and customer-facing support.
• Provide feedback from operations and customer interactions to influence platform improvements and product roadmap.

Required Skills & Experience:

• Extensive experience in Linux systems engineering, cloud engineering, or platform/SRE roles, including hands-on work with Kubernetes in production environments.
• Practical experience with installing, operating, and troubleshooting Kubernetes in production environments.
• Experience working with Kubernetes on OpenStack or other cloud providers.
• Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong willingness to ramp up quickly.
• Strong understanding of Linux, containers, and container runtimes (e.g., Docker, containerd).
• Experience with Kubernetes networking, storage, and ingress concepts (CNI, CSI, load balancers, ingress controllers).
• Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.
• Familiarity with configuration management and IaC tools such as Ansible and Terraform.
• Experience with monitoring and logging in Kubernetes environments (e.g., Prometheus, Grafana, ELK/Graylog, or similar).
• Strong troubleshooting skills, clear written documentation, and effective communication with both technical and non-technical stakeholders.

Nice to Have (Preferred Skills):

• Experience with OpenStack Magnum and its Kubernetes integrations.
• Experience operating Kubernetes on other public cloud platforms (EKS, AKS, GKE).
• Knowledge of Ceph, S3-compatible storage, and their use with Kubernetes.
• Understanding of application architectures on Kubernetes, including microservices and 12-factor applications.
• Exposure to CI/CD toolchains (e.g., Git, GitLab/Jenkins, Artifactory, etc.) for containerized workloads.
• Experience with security hardening and best practices for Kubernetes (RBAC, PodSecurity, network policies, image scanning).

Qualifications:

• Demonstrated experience operating production Kubernetes clusters and working as part of a cross-functional cloud/platform team.
• Ability to work effectively under pressure, handle escalations, and maintain a strong customer-focused mindset.
• Passion for continuous learning in Kubernetes, cloud-native tooling, and automation.

Annual Compensation Range: 

Note: The salary range listed for this position is a good faith estimate based on experience, qualifications, and internal compensation structure. The actual salary offered varies depending on the candidate's skill level and experience. This posting refers to an active vacancy within the organization.

How You'll Make an Impact: 

As a Senior Fullstack Engineer on the Distribution Team, you'll be instrumental in developing and enhancing the products that connect Cloudbeds' ecosystem to the world's largest distribution channels. You'll architect scalable solutions using modern technologies, contribute to our microservices migration, and ensure our platform delivers exceptional performance and security for thousands of properties worldwide. Your work will directly impact how hotels reach guests through integrations with major platforms like Booking.com, AirBnb and beyond.

Our Distribution Team:

We're the bridge connecting properties to the global travel ecosystem. Our team tackles complex integration challenges that directly impact revenue for thousands of hotels worldwide, from building rock-solid connections with major OTAs to ensuring every booking flows seamlessly and securely. We balance innovation with pragmatism: migrating legacy systems to modern microservices while maintaining the reliability our customers depend on. If you thrive on solving hard technical problems with real business impact and love the challenge of both building greenfield features and refactoring legacy code, you'll feel right at home here.

What You Bring to the Team:

• Design and implement robust backend features and improvements using PHP, with a strong focus on performance optimization and scalability for our distribution platform
• Build intuitive frontend experiences using React and Vue, ensuring seamless user interactions across the Cloudbeds ecosystem
• Architect secure solutions for handling financial transactions and sensitive personal data, applying security best practices throughout the development lifecycle
• Write clean, well-tested, and well-documented code with comprehensive test coverage (unit, integration, end-to-end) to maintain high quality standards
• Lead technical discussions on complex concepts and requirements with both technical and non-technical stakeholders, driving alignment on backend and frontend architecture decisions
• Contribute to our ongoing initiative to migrate core platform components into microservices, helping shape the long-term technical vision
• Re-architect and refactor existing legacy systems to align with modern standards and project requirements, demonstrating ownership and commitment to continuous improvement
• Mentor team members through pair programming and code reviews, promoting best practices that elevate code quality and team processes
• Collaborate with cross-functional teams to plan, build, and ship high-quality features that delight our global customer base

What Sets You Up for Success:

• 5+ years of PHP web application software engineering experience
• 5+ years of experience with JS frameworks, Vue.js and React are preferred
• Solid experience with modern JavaScript/TypeScript
• Strong hands-on experience with Docker and containerized development workflows
• Demonstrated expertise in performance optimization and expert knowledge of relational databases, indexing, and searching technologies
• Strong understanding of security considerations, particularly for applications handling financial transactions and personal data
• Experience with test automation across all levels (unit, integration, end-to-end) and a passion for quality-driven development
• Proven track record of taking ownership of projects and delivering results independently
• Business-level English fluency (verbal and written) and excellent communication skills for collaborating across a globally distributed, remote-first team

Bonus Skills to Stand Out:

• Experience designing and building microservices and/or micro-frontends
• Hands-on experience with PHP frameworks (CodeIgniter, CakePHP, Laravel, Symfony)
• Cloud and infrastructure experience with Kubernetes, AWS, Terraform, and Argo CD
• Experience working with event-driven architectures and messaging systems (e.g., Kafka)

Compensation: Depending on your skills and experience, you can expect your annual compensation to be between $145,000 - $165,000

Summary:  Onbe seeks an impactful Sales Executive Senior Director  to establish new, high potential partnerships with channel partners in the financial services space. Leveraging our global reach and proprietary technology, this role will help establish partnerships and partner models that deliver scaled distribution to Onbe and value to our partners in their efforts to retain, grow and expand their customer base. Our solutions focus on payments to consumers, workforces, and service providers, including refunds, rewards, and payroll delivered digitally and physically. The ideal candidate will possess deep industry knowledge, excel in relationship building, strategic thinking, and negotiation. Key responsibilities include identifying high fit/high potential new partners, leading deal teams, navigating complex negotiations, defining partnership priorities and key KPIs, and launching the relationship to maximize value for both parties. Reporting to senior leadership, the candidate will ensure alignment with organizational priorities and drive mutual growth. 

This role is a hybrid role that will work onsite 2 days per week at our Conshohocken, PA location. Occasional travel may be required as part of this position. 

Responsibilities: 

Develop a target list of high fit/high potential new partnerships; manage a diverse pipeline and secure new partners in support of Onbe’s channel distribution strategy. 

Establish relationships with multiple partner stakeholders; build trust and uncover organizational priorities, operating structures and decision-making criteria. 

Assemble and lead deal teams; based on a deep understanding of partner’s priorities and decision-making processes, define and articulate win strategies to execute a successful organizational selling motion. 

In line with partner priorities and go-to-market practices, ensure partner is equipped with scalable pricing models and product options.

Lead pricing and contracting negotiations; architect meaningful incentive structures to motivate partner to drive volume.

Develop partnership plans to ensure alignment between partner and Onbe: document mutually identified revenue goals, priorities, resources, roles & responsibilities and KPIs.

Bring Onbe resources (e.g., project management, channel marketing, relationship management, etc.) to the field to set the partnership up for long-term success. Provide oversight and ensure successful launch of partnership through pilot.

With a land & expand mindset, uncover additional opportunities for Onbe to add value within the partner ecosystem or via referrals; win opportunities across new buying centers and nurture a network/referral effect to extend the value of the partnership.

Qualifications: 

10+ years in a consultative B2B2C sales role  

Experience in payments and disbursements preferred. 

Familiarity with the refunds, incentive or rewards spaces is a plus. 

Demonstrated ability to sell to multiple C-level personas, including finance, marketing and digital engagement personas. 

Must display excellent verbal and written presentation, interpersonal and communication skills. 

Experience working with a CRM such as Microsoft Dynamics or Salesforce 

Up to 20% domestic travel may be required 

The base salary range for this position is between $159,480.00 to $178,500.00 plus commission. The actual base salary offered depends on a variety of factors, including but not limited to the qualifications of the individual applicant for the position, years of proven experience, specific and unique skills, level of education attained, certifications or other professional licenses held, business needs, and market demand. Our competitive benefits include medical, dental, vision, wellness, 401(k) matching, open paid time off, generous parental leave, and more! Our job titles may span more than one career level. All candidates are encouraged to apply. #li-hybrid