MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.

As a Staff Technical Program Manager, you will own the successful delivery of complex, cross-functional efforts. You will partner closely with stakeholders across the organization from Engineering, Product, Product Design, and even Field-facing teams to develop and execute against our overall product vision and business objectives, uncover solutions to technical challenges, and provide data-driven insights that power strategic decision-making.

We are looking to speak to candidates who are based in Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Columbus, Dallas, Miami, Nashville, New York City, Philadelphia, Raleigh, Washington DC, Tysons for our hybrid working model.

Position Expectations

• Leverage technical acumen and analytical skills to drive engineering programs forward and maximize business value delivery
• Recognize patterns in a sea of information and take action accordingly
• Develop a strategic approach to program management that balances agility and process. This involves discerning when to provide direct guidance and when to empower teams by establishing clear frameworks and guidelines for ongoing initiatives
• Build strategic partnerships with Product, Design, and Engineering stakeholders
• Expand knowledge into new domains as called upon
• Act as a mentor to junior TPMs and lead by example
• Embody MongoDB's core values and leadership principles

The right candidate for this role will be

• Experienced with 10+ years of working in an engineering organization leading complex cross-functional technical programs
• Experienced with 5+ years of Software development background
• Able to partner with technical stakeholders in methodically breaking down engineering challenges to deliver against abstract goals
• Able to participate in technical design discussions and summarize trade-offs, outcomes, and next steps
• Skilled at communicating across a diverse set of engineers and stakeholders
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Hyper-organized and capable of coordinating across multiple independent work streams and organizations
• A role model for effective execution practices, driven by an attuned sense of priority and urgency
• Able to leverage their experience in program delivery to influence improvements to our tools, operations, architecture
• Trained in working with project tracking software (e.g. Jira, Rally, MS Project)
• Familiar with MongoDB or a comparable technology

Nice to have!

• Exposed to generative AI and Machine Learning
• Interested in business automation work such as scripting in Python, Google Apps Script and Slack
• Familiar with tools and methodologies for code analysis, refactoring, and automated testing

About MongoDB

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

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

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

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

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

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

REQ ID: 2263203305

About Us:

Sauce Labs is the world's largest full-lifecycle, test automation platform, and the company behind Selenium. Trusted by 80% of the world's top ten largest financial institutions and over 300,000 enterprise users, Sauce Labs provides the only AI platform capable of turning business intent into autonomous testing and quality assurance. With a proprietary dataset of 8.7 billion test runs, Sauce Labs empowers the Fortune 2000 to bridge the gap between AI-driven code generation and enterprise-grade software quality. Learn more at saucelabs.com.

The Role:

This pivotal role drives the design and implementation of high-value features and the foundational Error-Reporting/Backtrace platform. This is a strategic product in the Sauce Labs portfolio, and you will be instrumental in enabling customers to analyze multi-dimensional data and debug at scale to resolve their business-critical production issues. Your solutioning and development expertise in native, low-level systems (Rust, C/C++) will accelerate the evolution of this intricate product with a highly performant custom columnar database. Core Linux backend skills and a DevOps perspective are essential to design and evolve a scalable, maintainable platform. You will collaborate remotely with a global engineering team on new capabilities, enhancing backend performance, reliability, data analysis, and user experience. If you have compelling code to share, we would love to see it—we hire for demonstrable talent first!

Responsibilities:

• Extend core subsystems including work scheduling, networking (HTTP), storage, indexing, and data analysis. Performance-sensitive components are primarily in Rust and C/C++.
• Enhance platform observability by integrating bespoke and off-the-shelf OpenTelemetry capabilities, encompassing metrics, tracing, and profiling, and evolving Grafana dashboards to provide deeper insights.
• Collaborate with business and management functions to develop and execute the product roadmap.
• Provide technical leadership, advising on investments, leading solution design and development, and mentoring junior staff.
• Participate in on-call rotation.
• Contribute to improvements in the software development lifecycle for increased velocity and quality.

Required Skills:

• 7+ years of development experience in C/C++ and Rust.
• Demonstrable skill in developing specialized data structures, algorithms, and supporting infrastructure for real-world workloads.
• Solid experience with cloud platforms (GCP, AWS).
• Proficiency with live and post-mortem debugging tools.
• Expertise in the development of AI-driven features, as well as agents and skills integrated with internal workflows.
• Strong experience managing/scripting CI and scaling infrastructure using DevOps tools like Jenkins, Docker, Kubernetes, and Salt.
• You are autonomous, take initiative, and act on it.
• You stay current with the field, having read at least 2 relevant computer systems papers in the last year.
• You have a proven track record of collaboration and pragmatism, leveraging the strengths of others to build great products.

This Saucer can be found globally.  We believe in the power of in-person collaboration to build strong relationships and drive innovation. To support this, our office models are tailored by region:

• Poland, Berlin, and the US: We operate on a hybrid basis, offering flexibility alongside collaboration with in-office days as required.
• India: We operate in-office 5 days a week to maximize team synergy and real-time collaboration and mentorship.

Regardless of location, Saucers living near an office are expected to be present and engaged with their local teams.

Please note our privacy terms when applying for a job at Sauce Labs.

Sauce Labs is proud to be an Equal Opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity/expression/status, sexual orientation, age, marital status, veteran status or disability status.

Security responsibilities at Sauce

At Sauce, we will commit to supporting the health and safety of employees and properties, partnering with internal stakeholders to learn and act on ever-evolving security protocols and procedures. You’ll be expected to fully comply with all policies and procedures related to security at the department and org wide level and exercise a ‘security first’ approach to how we design, build & run our products and services.

Description:

The Assurance, Risk, and Compliance (“ARC”) Initiatives team at MongoDB owns the strategy, governance, and delivery of our most critical cross-functional risk and compliance initiatives. We design and execute programs that support compliance audits, risk assessments, employee awareness and enablement, and the implementation of common control frameworks, along with consistent operating cadences that align key stakeholders, accelerate decision making, and drive the execution of initiatives that reinforce MongoDB’s assurance, risk management, and compliance objectives. We define and track key metrics and deliver clear and timely, executive reporting to provide transparency, measure progress, and ensure lasting operational resilience and governance.

We serve as the central coordination point for ARC-wide initiatives, connecting Product, Engineering, Security, and Legal teams around clear priorities, milestones, and outcomes. Our focus is on building scalable governance structures, defining decision-making frameworks, and establishing repeatable ways of working so that complex efforts can be executed consistently across the team.

The Policy Program Manager is a mid-to-senior level individual contributor role responsible for leading the development and operationalization of policies and procedures aligned to established control frameworks. You will drive end-to-end ownership of policy lifecycle management, from drafting and review through implementation and ongoing maintenance, while coordinating inputs across teams to ensure accuracy, consistency, and adoption. Additionally, you will lead documentation standardization efforts, facilitate stakeholder reviews, and perform gap analyses to continuously strengthen and mature our ARC policy framework.

Responsibilities:

• Lead the end-to-end execution of company-wide compliance programs, including the annual security policy and procedure review cycle
• Design and implement scalable frameworks for policy lifecycle management (creation, review, approval, publication, and retirement)
• Establish standards, templates, and governance processes to ensure consistency and clarity across all compliance documentation
• Maintain a centralized, audit-ready repository for policies, procedures, and supporting artifacts
• Act as the primary point of contact for cross-functional teams (HR, Legal, Engineering, Product)
• Drive alignment, gather inputs, and ensure timely completion of policy updates and compliance deliverables
• Ensure policies and procedures align with regulatory, security, and internal control requirements
• Support internal and external audits by maintaining complete, accurate, and accessible documentation
• Translate audit findings and regulatory changes into actionable policy program updates
• Maintain the integrity of project-specific Jira boards and Confluence pages. Ensure all project artifacts are organized, up-to-date, and ready for leadership review or external audit
• Develop and maintain dashboards to report on program health, completion rates, and obstacles. Present status updates and metrics to leadership
• Evaluate existing program workflows and implement improvements to increase efficiency, reduce manual effort, and improve the stakeholder experience

Requirements:

• 5-8 years of program management experience, ideally within an Information Security or high-growth technology environment
• Experience creating and managing policy and procedure programs or governance frameworks
• Deep understanding of security and compliance frameworks (e.g., SOC 2, ISO 27001, PCI DSS, HIPAA, NIST CSF)
• Strong proficiency in managing full-lifecycle projects, including scoping, planning, risk mitigation, and change control
• Advanced experience with Jira and Confluence, including the ability to build custom dashboards and manage complex documentation repositories
• Maintain and support a GRC/policy management platform to ensure consistent policy administration and system usability
• Excellent interpersonal skills with the ability to hold cross-functional stakeholders accountable to deadlines in a professional and effective manner
• Exceptional attention to detail and the ability to manage multiple overlapping priorities without losing sight of milestones
• A proactive, self-directed approach to work. You enjoy taking ownership of a program and building the structure necessary for its success

Responsibilities & Expectations

• You are expected to be the owner of your assigned programs. While you will work closely with technical SMEs, you are responsible for the logistical success of the workstream. Your success is measured by the timely completion of program goals, the clarity of your reporting, and your ability to anticipate and resolve project bottlenecks
• You don't just track tasks; you own the success of the program

Scope & Complexity

• The scope is horizontal and impacts multiple departments across MongoDB
• Managing complex programs that require coordination with various business units, ensuring that project delays in one area do not derail the overall compliance roadmap

Authority & Impact

• You have the authority to manage the timelines and execution steps of your assigned programs
• Your impact is reflected in the strength of policy program management and organizational readiness you drive; by overseeing and coordinating these workstreams, you ensure the Compliance team consistently meets foundational policy requirements and aligns with external audit expectations

Expertise

• You will develop deep expertise in compliance and audit operations
• You will become the go-to resource for designing, scaling, and executing policy and compliance programs within a cloud-first organization. This role is responsible for independently and collaboratively developing and managing policies and procedures, with a strong understanding of compliance frameworks and the ability to interpret and operationalize control requirements

Leadership

• Leadership in this role is demonstrated through influence and mentorship. While you may not have direct reports, you will guide cross-functional teams in developing and standardizing policies/supporting documentation, as well as provide mentorship on policy governance, standardized documentation practices, and compliance alignment

About MongoDB

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

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

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

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

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

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

REQ ID: 1273402887

The role of Senior Employee Listening Manager has a critical role to play in the next phase of MongoDB's growth. You will continue to evolve our global employee listening strategy, tooling, analytics, and action planning process (for managers and for the enterprise) that scales with our organization’s continued growth, and ensure our culture is measured and reflected in our listening strategy. You will also lead other lifecycle surveys to ensure that we harness integrated insights across our listening tools. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion. 

This role can be based remotely out of the United States.

Job Responsibilities include but are not limited to:

• Lead the design and execution of a holistic Employee Listening measurement strategy, including design and administration of lifecycle and ad hoc surveys (e.g., 360) and integration of insights across the talent lifecycle
• Partner with the broader Culture & Development team and other members of the People Team to identify critical people issues and to support delivery of insights and analytics that will inform our strategy and help execute on our people initiatives
• Demonstrate thought leadership on current research and innovative solutions for assessing and measuring the talent lifecycle, from pre-hire to exit, including how AI can support advanced analytics and insights from both quantitative and qualitative data
• Collaborate proactively with the Culture, Talent & Development team and other key stakeholders on the broader People Team to Review, monitor, and communicate results effectively for impact and provide follow-up insights in a timely manner
• Lead our enterprise-wide survey action planning process, and the ongoing enablement for our self-service manager action planning tools
• Support global action planning programs and initiatives, as needed
• Ensure that our Leadership Commitment is embedded in the key decisions and planning in our survey strategy.
• Facilitate projects, identifying dependencies, change management requirements, and prioritizing accordingly
• Manage relationships with the stakeholders across all levels, and ensuring that the project team and stakeholders have an adequate understanding of ownership, timelines, resource needs, risks, contentions, and dependencies

 Required Qualifications:

• 7+ years of proven experience with program managing end-to-end talent lifecycle measurement, specifically related to survey insights, executive summaries, and action planning
• Experience in people or talent analytics, including advanced analytical skills, with demonstrated ability in synthesizing and interpreting employee data
• Excellent analytical and problem-solving skills with a strong attention to detail
• Ability to integrate, analyze, and effectively communicate insights to all levels of the organization
• Experience working directly with leadership and stakeholders at all levels and functions to define and implement solutions
• Demonstrated ability to create creative and compelling insights that are leveraged by multiple teams in an asynchronous setting
• Strong track record of project management skills, including delivering strategic and tactical solutions in fast-paced, high-growth environments
• Excellence in written communication and project documentation
• Excellence in communicating and presenting
• Demonstrated track record and exceptional judgment handling sensitive data

Preferred qualifications:

• Experience working in an HR organization or Talent Center of Excellence or partnering closely with an HR organization for 5+ years
• Advanced degree in Industrial-Organizational Psychology, Data Science, Business Analytics, Organizational Behavior or relevant field
• Experience using AI to support both qualitative and quantitative people data
• Proficiency with Qualtrics, Google Suite, MS Excel, Tableau
• Proficiency with other survey vendors recommended

About MongoDB

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

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

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

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

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

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

REQ ID: 1273401549

The role of Senior Employee Listening Manager has a critical role to play in the next phase of MongoDB's growth. You will continue to evolve our global employee listening strategy, tooling, analytics, and action planning process (for managers and for the enterprise) that scales with our organization’s continued growth, and ensure our culture is measured and reflected in our listening strategy. You will also lead other lifecycle surveys to ensure that we harness integrated insights across our listening tools. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion. 

This role can be based out of Raleigh, New York City, or Austin for our hybrid working model.

Job Responsibilities include but are not limited to:

• Lead the design and execution of a holistic Employee Listening measurement strategy, including design and administration of lifecycle and ad hoc surveys (e.g., 360) and integration of insights across the talent lifecycle
• Partner with the broader Culture & Development team and other members of the People Team to identify critical people issues and to support delivery of insights and analytics that will inform our strategy and help execute on our people initiatives
• Demonstrate thought leadership on current research and innovative solutions for assessing and measuring the talent lifecycle, from pre-hire to exit, including how AI can support advanced analytics and insights from both quantitative and qualitative data
• Collaborate proactively with the Culture, Talent & Development team and other key stakeholders on the broader People Team to Review, monitor, and communicate results effectively for impact and provide follow-up insights in a timely manner
• Lead our enterprise-wide survey action planning process, and the ongoing enablement for our self-service manager action planning tools
• Support global action planning programs and initiatives, as needed
• Ensure that our Leadership Commitment is embedded in the key decisions and planning in our survey strategy.
• Facilitate projects, identifying dependencies, change management requirements, and prioritizing accordingly
• Manage relationships with the stakeholders across all levels, and ensuring that the project team and stakeholders have an adequate understanding of ownership, timelines, resource needs, risks, contentions, and dependencies

 Required Qualifications:

• 7+ years of proven experience with program managing end-to-end talent lifecycle measurement, specifically related to survey insights, executive summaries, and action planning
• Experience in people or talent analytics, including advanced analytical skills, with demonstrated ability in synthesizing and interpreting employee data
• Excellent analytical and problem-solving skills with a strong attention to detail
• Ability to integrate, analyze, and effectively communicate insights to all levels of the organization
• Experience working directly with leadership and stakeholders at all levels and functions to define and implement solutions
• Demonstrated ability to create creative and compelling insights that are leveraged by multiple teams in an asynchronous setting
• Strong track record of project management skills, including delivering strategic and tactical solutions in fast-paced, high-growth environments
• Excellence in written communication and project documentation
• Excellence in communicating and presenting
• Demonstrated track record and exceptional judgment handling sensitive data

Preferred qualifications:

• Experience working in an HR organization or Talent Center of Excellence or partnering closely with an HR organization for 5+ years
• Advanced degree in Industrial-Organizational Psychology, Data Science, Business Analytics, Organizational Behavior or relevant field
• Experience using AI to support both qualitative and quantitative people data
• Proficiency with Qualtrics, Google Suite, MS Excel, Tableau
• Proficiency with other survey vendors recommended

About MongoDB

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

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

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

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

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

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

REQ ID: 1273401549

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

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

Key Responsibilities

​Strategic Partnership & Business Leadership

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

Talent & Performance Management

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

Leadership Development & Succession Planning

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

Organizational Planning, Design & Change Leadership

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

Culture & Employee Experience

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

Profile & Experience

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

About MongoDB

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

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

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

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

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

MongoDB is an equal opportunities employer.

Req ID: 1273422877

The role of Leadership Development Manager has a critical role to play in the next phase of MongoDB's growth. You will help identify critical skills of the future, design innovative learning experiences and ensure that our People Managers are continuously developing the capabilities they need to succeed in a fast-changing environment. You will design, build, and scale learning experiences that will enable people managers to live our values, serve our customers, and ultimately strengthen culture and accelerate performance. This role is part of the Culture, Talent, and Development (CTD) leadership team. As a team, we are responsible for culture and talent building programs, including leadership development, employee learning, talent management, engagement, listening, and inclusion. 

JOB RESPONSIBILITIES include but are not limited to: 

• Design and facilitation of live Leadership Development programs, directly and indirectly through train-the-trainer strategies
• Influencing and helping other teams to embed leadership development into existing trainings and experiences
• Program manage development programs and experiences, creating efficient and scalable solutions for enrollment, accountability, and impact measurement
• Program manage coaching programs, including vendor management & invoicing, internal stakeholder alignment, participation & impact measurement
• Design on-demand learning and AI supported experiences, aligned to our content roadmap, that will facilitate strong learning outcomes for diverse learning audiences (role, language, learning style, etc.) 
• Orchestrate alignment across concurrent projects by identifying interdependencies, assessing change-management impacts, and driving clear, priority-based decision making
• Manage relationships with stakeholders across all levels, ensuring that the project team and stakeholders have an adequate understanding of ownership, timelines, resource needs, risks, constraints, and dependencies
• Ensure alignment of deliverables, project priorities and resources with business objectives and other People Team initiatives

REQUIRED QUALIFICATIONS:

• 5+ years of experience in designing, delivering, and program managing Leadership Development programs
• Strong track record of delivering strategic and tactical solutions in fast-paced, high-change environments, preferably in SaaS
• Excellence in instructional design, creating engaging and effective learning experiences across multiple formats: Classroom (in person, virtual, and hybrid), On-Demand (courses, microlearning, videos, etc.), Self-Paced development resources, and more
• Proven ability to facilitate leadership development experiences, with subject matter expertise in core leadership & management skills (performance management, communication, inclusion, etc.) 
• Expertise in learning program management, including conducting needs assessments, designing learning solutions, and measuring impact to continuously improve programs
• Experience managing external vendors, including independent contractors and coaches, to complement internal learning and development offerings
• Experience customizing learning experiences and content to meet the needs of individual business units
• Exceptional written communication and high-quality project documentation
• Proven program management capability, effectively planning, prioritizing, and delivering multiple concurrent initiatives on time and within scope

PREFERRED QUALIFICATIONS:

• Prior experience managing learning on an LMS, Docebo preferred
• Holds a coaching certification from ICF, CPCC, Hogan, or comparable coaching accreditation
• Proficiency in course authoring software, Articulate Rise preferred
• Previous experience managing people in a direct manager capacity 
• Experience leveraging AI-supported platforms to scale and optimize training initiatives 

About MongoDB

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

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

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

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

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

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

Req ID: 1273419729

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

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

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

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

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

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

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

Req ID: 1273396252

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

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

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

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

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

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

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

Req ID: 426187

MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the engineering talent to match.

• Architect and manage infrastructure on AWS GovCloud using IaC tools
• Implement and maintain CI/CD pipelines aligned with FedRAMP controls
• Support FedRAMP Authorization to Operate (ATO) processes
• Automate compliance checks and enforce configuration baselines across environments
• Collaborate with Security, Engineering, and GRC teams to remediate findings and maintain ATO status

• 3+ years of DevOps or cloud engineering experience
• Direct experience deploying and operating workloads in AWS GovCloud or regulated environments
• Proficiency with Terraform or equivalent IaC tools
• Experience with containerization (ECS/EKS) in regulated environments
• Strong understanding of security frameworks and their technical implementation

• AWS GovCloud or security certifications (AWS Solutions Architect, CompTIA Security+)
• Experience with FedRAMP, ITAR, or DoD IL2/IL4/IL5 environments
• Working knowledge of FedRAMP authorization processes (Moderate or High baseline preferred)

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A Work Culture where:
• You’ll work alongside folks across the globe that reflect the MaintainX values: Smart Humble Optimists.
• We believe in meritocracy, where ideas and effort are publicly celebrated.
  
  

About MaintainX

Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

About the opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports organization-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven manager who is passionate about solving complex security problems in innovative and scalable ways. As a Manager of Security Engineering, you will own security engineering across Contentful’s corporate systems, including the tooling and platforms that support the internal security team. While this role does not own security for the customer facing product, you will partner closely with product security teams within the security organization on shared responsibilities.

You will balance people leadership with hands-on technical execution, including designing, building, and operating security controls and tooling at scale, with a particular focus on areas such as identity and access management, data security, and SaaS platforms. You will provide strategic guidance and lead initiatives while remaining directly involved in implementation. You may work independently at times, but will more often collaborate closely with security, IT, and cross-functional partners to align strategies, execute shared initiatives, and ensure comprehensive risk mitigation while minimizing impact on end users across the organization.

What to expect?

• Develop a team, providing coaching, mentorship, goal setting, and performance feedback.
• Define roles and make hiring decisions to grow the team in line with department needs.
• Remain hands on, balancing technical leadership with direct implementation work.
• Own execution and prioritization across projects and operations, using agile delivery practices.
• Scale and mature effectiveness and efficiency by improving processes and tooling.
• Champion continuous improvement across all aspects of the security program.
• Continuously improve effectiveness and efficiency by evolving processes and tooling.
• Communicate risks and technical concepts with clarity to leadership and stakeholders.
• Collaborate with security leadership to execute business aligned, risk reduction roadmaps.
• Shape work scope, sequencing, and success criteria inline with department and company needs.
• Drive security processes, standards, and best practices across information technology assets.
• Partner with stakeholders to evolve security awareness and specialized training across all functions.
• Mature capabilities across endpoint, SaaS, and cloud configuration.
• Own strategy evolution of corporate capabilities, including configuration, IAM, and data security.
• Enhance tooling, automation, and integrations to improve visibility and reduce manual effort.
• Support and guide security incident response efforts as a technical leader.
• Support cross functional vulnerability management while advancing the program capabilities.
• Define and maintain metrics to measure impact, optimize execution, and guide investment.
• Partner with cross-functional teams for security enhancement and drive risk reduction.
• Accelerate adoption of AI, balancing practicality enablement, and risk management.
• Stay current on threats, vulnerabilities, and tactics, translating insights into actionable strategies.

What you need to be successful?

• 8+ years of progressive engineering and security experience.
• 3+ years managing people and security engineering teams.
• Comfort operating in ambiguity, balancing strategic thinking, security, and practicality.
• Expertise with AWS, GCP, and Azure.
• Strong hands-on experience designing, implementing, and operating security controls at scale.
• Demonstrated experience securing endpoint, SaaS, and cloud environments.
• Experience working within identity and access management and data security programs.
• Software development experience in modern programming language (Python, Go, etc)
• Hands-on experience using Terraform and infrastructure-as-code.
• Experience applying modern practices to improve efficiency and scalability or security programs.
• Passion for solving complex security problems in innovative and scalable ways.
• Experience using metrics to measure impact, optimize execution, and guide investment decisions.
• Strong communication skills with the ability to explain technical topics to non technical audiences.
• Ability to support occasional off-hours incident response efforts.
• Familiarity with attacker techniques in cloud-native and traditional environments.
• Hands-on experience owning security technologies (e.g., EDR, AntiVirus, etc.)
• Proven ability to lead cross-functional initiatives and influence outcomes without direct authority.
• Experience owning end to end security programs, proactively driving incremental improvement.
• Strong systems thinking, with the ability to design security solutions that scale through efficiency.

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.

#LI-Remote

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports corporate-wide information security management programs and collaborates closely with internal teams. We believe that Security must be anchored by DevOps principles with strong repeatable processes.

We are looking for a committed and driven Security Engineer with experience working in cloud-native product infrastructure and corporate environments. In this role, you will manage daily alerts and operations while leading broader collaborative initiatives, such as architecture design, threat modeling, and vulnerability identification, to drive meaningful security improvements. Candidates should be skilled in cloud-native technologies, with demonstrable proficiency in infrastructure-as-code and application development.

This hands-on role offers an opportunity to grow your expertise in cloud technologies and security tooling while making a meaningful impact by embedding security practices and supporting secure third-party integrations in a fast-paced software-as-a-service environment.

What to Expect

• Lead initiatives and partner with teams to embed practical security safeguards and champion a security-first mindset across the business.
• Lead security assessments and remediation for cloud-native applications, infrastructure, and vendor integrations to proactively identify and address risk.
• Support vulnerability management by identifying, tracking, and partnering with teams to drive remediation of security issues across product and corporate environments.
• Develop and maintain security solutions through custom development and effective tool management to enhance efficiency and operational effectiveness.
• Leverage industry standards to develop hardening requirements and monitoring mechanisms that enforce and strengthen the security of systems and environments.
• Advance the development, customization, and maintenance of hardening standards and monitoring mechanisms for systems and environments.
• Drive security and monitoring enhancements to containerized workloads and orchestration platforms.
• Participate actively in incident investigations through independent analysis, contributing to findings, root cause analysis, and remediation efforts.
• Collaborate in defining and monitoring evolving security compliance and regulatory requirements.
• Research and evaluate emerging threats, vulnerabilities, and security technologies to keep defenses up to date.

What You Need to Be Successful

• 4+ years of security engineering, DevSecOps, or equivalent experience.
• Hands-on expertise with AWS architecture, services, and security features.
• Proficiency in Python to build and maintain security tools.
• Familiarity with Kubernetes and container security, including configuration and runtime protection.
• Exposure to JavaScript and Go with the ability to perform security code reviews.
• Experience using Terraform to build, deploy, and maintain infrastructure as code.
• Strong foundational networking knowledge covering cloud networking concepts, the OSI model, TCP/IP, and routing fundamentals.
• Demonstrable ability to embed security considerations throughout the software development lifecycle.
• Hands-on involvement supporting vulnerability management and incident response functions.
• Familiarity with authentication and authorization protocols and mechanisms (OAuth, SAML, JWT, IAM)
• Experience identifying and mitigating OWASP Top 10 vulnerabilities in web applications and APIs.
• Clear and effective communication skills.
• Ability to articulate security risks and tradeoffs to both technical and semi-technical audiences.
• A proactive, growth-oriented mindset focused on continuous learning, innovation, and raising security standards.
• Passionate about designing and performing hands-on implementation work.
• Ability to work in a fast-paced environment, often juggling multiple projects.

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.

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.

THE ROLE

As a Technical Services Engineer - Portworx, you are the critical link between our customers’ complex cloud-native ambitions and the seamless performance of the Portworx® by Everpure™ platform. You’ll ensure the success of large-scale deployments across public and private clouds by resolving intricate technical hurdles that directly impact business continuity. Collaborating closely with Engineering and Product teams, you will champion the customer voice to drive product reliability and innovation in the Kubernetes ecosystem.

WHAT YOU'LL DO

• Optimize Cloud-Native Resilience: Diagnose and resolve complex technical issues across the software stack—including Kubernetes, OpenShift, and major cloud providers—to ensure high availability for customer application workflows.
• Drive Proactive Problem Resolution: Analyze system logs and telemetry to reproduce issues, partnering with Engineering to develop long-term fixes and strategies that prevent recurring outages.
• Champion Customer Success: Manage the full lifecycle of technical support cases, providing expert guidance during critical production phases and POCs to maintain the highest levels of customer satisfaction and platform adoption.
• Knowledge Leadership: Translate complex technical resolutions into accessible documentation and internal knowledge base articles to accelerate future incident response and empower the global support community.

WHAT YOU BRING

• Bachelor's Degree in a technical field and/or related technical experience.
• Minimum 2-4 years of experience in customer-facing, technical support work/SRE
• Cloud-Native Expertise: Deep technical proficiency in managing and troubleshooting container orchestration platforms (such as Kubernetes, OpenShift, or VMware Tanzu) and cloud infrastructure (AWS, Azure, or IBM Cloud).
• Technical Problem Solving: Proven ability to triage and resolve sophisticated software stack issues, utilizing debugging tools and collaborating with engineering teams to navigate high-pressure escalations.
• Operational Communication: Strong fluency in English with the ability to articulate technical concepts clearly to both internal stakeholders and external partners, ensuring transparency during critical events.
• Agile Mindset: Readiness to participate in shift rotations and on-call schedules to support our global customer base, combined with a self-motivated drive to take ownership of customer outcomes.
• In-Office Presence: We are primarily an in-office environment and therefore, you will be expected to work from the North Carolina  office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-ONSITE

THE ROLE:

Are you passionate about driving innovation in the data storage industry? Are you skilled in crafting technical solutions that exceed customer expectations? If so, we have an exciting opportunity for you! Pure Storage, a leader in the data storage and flash technology space, is seeking a talented and motivated Senior Pre-Sales Systems Engineer to join our dynamic team selling into the exciting SLED market of North and South Carolina.

As a Senior Pre-Sales Systems Engineer, you will play a crucial role in understanding our customers' unique challenges and tailoring Pure Storage solutions to meet their specific needs. Collaborating closely with the sales team, you will act as a technical expert during the sales process, helping to showcase the value of our products and services.

WHAT YOU’LL DO:

• Develop an exhaustive understanding of what drives a customer’s business and what motivates their decision making
• Connect the dots from technology solutions, inclusive of the Pure Storage portfolio and others from the ecosystem, to measurable customer business outcomes
• Partner closely with account managers, specialists and channel partners to create a seamless and holistic customer experience and strategy to drive revenue growth and net new business
• Delight customers and teammates with your technical leadership and domain expertise on storage products, distributed storage architectures, file systems, and competitive storage offerings in the DAS, NAS and SAN product spaces
• Take control of evaluations,  benchmarks and system configurations
• Build and deliver technical product and architecture presentations with vigor to customers and lock in the technical win with clients and prospective accounts
• Capture requirements and translate Customer’s business needs into innovative solutions to accelerate their growth and capacity
• Seek out and spur new opportunities for interoperability, functional, and performance testing/validation
• Promote mutual roadmap and planning exchanges
• Liaise with product and technical marketing to produce materials (i.e. whitepaper, web presentations) that support overall alliance plans and objectives
• Stay current with the competition and ensure that materials accurately reflect the latest, differentiated solution positioning
• Move with market trends and competitive landscape to promote thought leadership within our organization
• Lead by example living the Pure Values:  Persistence, Creativity, Teamwork, Ownership and Customer-first  

WHAT YOU BRING:

• Pre-sales experience is required
• Candidate must reside in the Raleigh, NC area 
• 5 or more years of relevant experience, mixed among technology, design, and communications required. Experience supporting the sales of enterprise storage, networking, systems, cloud, or software to enterprise accounts preferred
• Deep understanding of the architecture, design and implementation of multi-tiered client/server and web-based computing solutions
• Preference may be given to candidates with experience in the SLED vertical 
• Must have a familiarity with modern web architecture a plus (LAMP stack, scale-out vs scale-up architectures, AWS well-architected framework, microservices architecture)
• Prior experience in targeting new prospects and converting them into clients
• Contribute significant portions and/or lead responses to RFPs, RFQs and RFIs
• Superior knowledge of current and emerging storage architectures (FC, iSCSI, NAS, OSD, SAN)
• Previous experience with Linux, NFS file systems and Linux distributed network environment
• Installation/configuration of distributed computing, multiprocessing, virtual memory subsystem, storage subsystems architecture, shared memory architectures, cache architectures, windowing systems
• Strong knowledge of digital transformation to a Cloud Native architecture, On-Prem, Public Cloud, Provisioning Automation, and Containers
• Knowledge of VMware, Local Area Networking, Ethernet, TCP/IP and general networking
• Familiarity with AWS, Azure, GCP, containers, k8s and microservices architectures a plus
• Curiosity and passion around technology and explaining and showing new technology platforms and concepts to customers
• Familiarity with storage-intensive applications and their requirements such as structured databases (SQL, Oracle) is highly desirable
• Excellent verbal and written interpersonal skills

#LI-REMOTE

#LI-JL4

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

A Sr. Software Developer (Infrastructure) that will help us build the platform and tools that help Bandwidth engineers ship better software, faster.

Bandwidth powers brands like Google, Microsoft, Zoom, and GoDaddy with intelligent voice, messaging, 911 access, and phone number services, all on our own nationwide, all-IP network. We're the infrastructure layer that global enterprises trust to connect their customers.

Our Software Infrastructure team owns the "paved road." The platform, tools, and systems that let every Bandwidth engineer build and ship with confidence. We're looking for someone who wants to help take that further: an engineer who sees AI not as a tool to adopt, but as a platform to build.

You'll play a key role in helping make Bandwidth an AI-first engineering organization.

What you'll do

• Design and operate Bandwidth's AI infrastructure layer, including our LLM gateway, model routing, and cost controls, so every engineering team can experiment with AI tools safely and cheaply.
• Build and maintain the "paved road" of developer tooling and platform services that help engineers ship faster with less friction.
• Drive adoption of AI coding tools (Claude Code, Copilot, and others) by building enablement systems, prompt libraries, MCP server integrations, and internal tooling that make AI feel obvious, not optional.
• Connect AI to the systems engineers already use (Jira, Confluence, Slack, GitHub) so context flows to wherever work happens.
• Measure what actually matters: engineer velocity, build times, reversion rates, and real shipping outcomes. Not vanity metrics.
• Stay ahead of the curve on agentic workflows, helping teams evolve from writing every line of code to orchestrating AI systems that handle the toil.

What you need

• 5+ years of experience building and operating web services in production
• Hands-on experience with cloud infrastructure, especially AWS
• Strong coding skills in Python, Go, TypeScript, or similar
• Experience with platform services: CI/CD, secrets management, developer portals, internal tooling
• Familiarity with LLM APIs and the tradeoffs involved in model routing, token cost management, and AI observability
• Experience building tools or services that other engineers depend on day-to-day
• A results-driven mindset. You close the loop, you ship, you measure.
• Bachelor's degree or equivalent experience

Bonus points

• You've built or operated an LLM proxy, AI gateway, or model routing layer
• You've worked on a Developer Experience or Software Platform team before
• You've written infrastructure as code (Terraform, CDK, CloudFormation)
• You've built MCP servers or integrated AI tools with internal systems like Jira, Slack, or GitHub
• You've built tools or services other developers actually use (open source counts)
• You've worked in a startup or high-ambiguity environment where you had to define the requirements yourself

Why this role is different

• The AI landscape is moving fast. We're not looking for someone to standardize a single tool. This team is helping build the infrastructure layer that makes every tool possible. The LLM gateway, the MCP server integrations, the internal tooling that lets engineers experiment without bottlenecks: that's this team's contribution to where Bandwidth is headed.
• The principle is simple: standardize infrastructure, not tools. The aspiration is an engineering organization where every engineer has superpowers, AI is woven into how work gets done by default, and the people building software still deeply understand the systems they're building.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

BASE SALARY: $150,000 to $190,000 per year, paid semi-monthly

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

TOTAL COMPENSATION

Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato’s Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments.

SUMMARY

As a Senior Solutions Engineer, you will be responsible for supporting our Enterprise accounts in the Carolinas Region reporting to the regional Manager, Solutions Engineering. You will partner directly with regional account executives to help change our customers view and how they approach cloud security. You will be their trusted advisor for all matters related to cloud security across AWS, Azure, and GCP. We are passionate about technical sales and helping our customers achieve the maximum value from our solution. 

LOCATION

Seeking candidates in North Carolina, preferably in Raleigh or Charlotte. 

WHAT YOU’LL DO

• Partner with the sales team to provide technical leadership to our customers and prospective customers in conjunction with helping our team meet their quarterly sales targets.
• Provide presentations to our customers and prospective customers such as whiteboards, product demonstrations, slides, and proof of value outcomes.
• Help our customers and prospective customers plan in-depth test plans for showing the value of the Wiz platform in their environment (proof of value).
• Invest time in learning new product features, industry related developments, and broadening your overall technical skillset.
• Represent Wiz in technical forums such as trade shows, technical meetups, and industry events.

WHAT YOU’LL BRING

• Ability to deliver world class demonstrations and training experience to our channel customers
• Mastered the technical sales process
• Thrive in a creative technical role assisting partners to build a technical business delivery model
• Experience in a sales engineering role delivering solutions to C-level executives at enterprise customers
• Ability to travel
• Cloud security experience
• AWS/Azure/GCP hands on experience
• Network engineering experience
• Strong operating system, virtual machine, and container knowledge
• Knowledge of risk-based security assessments and frameworks
• Understanding of cloud identity, access, certificates, and keys

BONUS POINTS: 

• Experience with traditional CSPM tools
• SaaS experience
• Awareness of the CI/CD process
• Familiarity with Infrastructure as Code

Joining Collibra’s Product & Database Reliability Team

We are seeking an experienced and skilled Database Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the optimal performance, scalability, and reliability of our database systems. This role involves collaborating with cross-functional teams, providing technical leadership, and implementing best practices to enhance the overall efficiency of our database infrastructure.

This is a hybrid role based in our New York office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Database Engineers at Collibra are responsible for

• Performance Optimization: Analyze and optimize database performance through monitoring, tuning, and query optimization to ensure optimal response times and efficient resource utilization. Collaborate with our engineering teams to brainstorm, assist with resolution.
• Right Sizing: Conduct capacity planning and forecasting to anticipate future database requirements and ensure scalability. Automate a way to do that sizing with scalability.
• Troubleshooting and Problem Resolution: Diagnose and resolve complex database issues, including performance bottlenecks, scalability problems, and data inconsistencies. Analyze observability data to identify patterns, trends, and potential performance bottlenecks.
• Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide guidance on database-related concerns.
• Automation: Implement automation for repetitive tasks, and performance monitoring to streamline processes and enhance efficiency. Develop and maintain automated solutions for continuous workload analysis at scale, allowing for proactive identification of potential issues.
• Best practices & documentation:  Best practices for developing the overall database architecture, database configurations, processes, and troubleshooting procedures.

You have

• A bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent related working experience is required. Advanced degree preferred.  
• Proven experience as a Database Performance Engineer or similar role with at least 3-5 years of hands-on experience.
• Expertise in database management systems in PostgreSQL and proficiency in SQL. 
• Basic knowledge on GraphDB, Kubernetes, Linux is a good add-on.
• Professional experience in Cloud hosting platforms like AWS and GCP, with a preference for those with managed database experience.
• Knowledge of database architecture, replication, and optimization techniques.
• This position is not eligible for visa sponsorship.
• Because this role supports the US government, it is required that this candidate be a US citizen who resides on US soil.

You are

• Possessing strong analytical and problem-solving skills, capable of troubleshooting complex database issues effectively.
• Familiar with performance monitoring and tuning tools, demonstrating a keen understanding of optimizing database performance.
• A team player with excellent communication and collaboration skills, capable of working closely with developers, system administrators, and various stakeholders.
• Excellent communication and collaboration skills.

Measures of success

Within your first month, you will,

• Familiarize yourself with the existing database infrastructure, understanding its components and intricacies.
• Engage with the cross-functional teams and gain insights into ongoing projects and database-related challenges.
• Initiate communication and collaboration with developers, system administrators, and stakeholders to establish effective working relationships.

Within your third month, you will,

• Have actively contributed to ongoing performance optimization efforts, implementing monitoring, tuning, and query optimization strategies.
• Participate in capacity planning and forecasting exercises, contributing to the scalability of the database systems.
• Demonstrate proficiency in utilizing automation tools to streamline repetitive tasks and enhance overall efficiency.

Within your sixth month, you will,

• Heavily contribute to database configurations, implementing best practices and troubleshooting procedures.
• Have actively collaborated on the development and maintenance of automated solutions for workload analysis at scale.

These milestones will not only showcase your integration into the team but also highlight your substantial contributions to the optimization and efficiency enhancement of our database infrastructure.

Compensation for this role

The standard base salary range for this position is $128,000 - $160,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Product & Database Reliability Team

We are seeking an experienced and skilled Database Engineer to join our dynamic team. The ideal candidate will be responsible for ensuring the optimal performance, scalability, and reliability of our database systems. This role involves collaborating with cross-functional teams, providing technical leadership, and implementing best practices to enhance the overall efficiency of our database infrastructure.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

Database Engineers at Collibra are responsible for

• Performance Optimization: Analyze and optimize database performance through monitoring, tuning, and query optimization to ensure optimal response times and efficient resource utilization. Collaborate with our engineering teams to brainstorm, assist with resolution.
• Right Sizing: Conduct capacity planning and forecasting to anticipate future database requirements and ensure scalability. Automate a way to do that sizing with scalability.
• Troubleshooting and Problem Resolution: Diagnose and resolve complex database issues, including performance bottlenecks, scalability problems, and data inconsistencies. Analyze observability data to identify patterns, trends, and potential performance bottlenecks.
• Collaboration: Work closely with developers, system administrators, and other stakeholders to understand application requirements and provide guidance on database-related concerns.
• Automation: Implement automation for repetitive tasks, and performance monitoring to streamline processes and enhance efficiency. Develop and maintain automated solutions for continuous workload analysis at scale, allowing for proactive identification of potential issues.
• Best practices & documentation:  Best practices for developing the overall database architecture, database configurations, processes, and troubleshooting procedures.

You have

• A bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent related working experience is required. Advanced degree preferred.  
• Proven experience as a Database Performance Engineer or similar role with at least 3-5 years of hands-on experience.
• Expertise in database management systems in PostgreSQL and proficiency in SQL. 
• Basic knowledge on GraphDB, Kubernetes, Linux is a good add-on.
• Professional experience in Cloud hosting platforms like AWS and GCP, with a preference for those with managed database experience.
• Knowledge of database architecture, replication, and optimization techniques.
• This position is not eligible for visa sponsorship.
• Because this role supports the US government, it is required that this candidate be a US citizen who resides on US soil.

You are

• Possessing strong analytical and problem-solving skills, capable of troubleshooting complex database issues effectively.
• Familiar with performance monitoring and tuning tools, demonstrating a keen understanding of optimizing database performance.
• A team player with excellent communication and collaboration skills, capable of working closely with developers, system administrators, and various stakeholders.
• Excellent communication and collaboration skills.

Measures of success

Within your first month, you will,

• Familiarize yourself with the existing database infrastructure, understanding its components and intricacies.
• Engage with the cross-functional teams and gain insights into ongoing projects and database-related challenges.
• Initiate communication and collaboration with developers, system administrators, and stakeholders to establish effective working relationships.

Within your third month, you will,

• Have actively contributed to ongoing performance optimization efforts, implementing monitoring, tuning, and query optimization strategies.
• Participate in capacity planning and forecasting exercises, contributing to the scalability of the database systems.
• Demonstrate proficiency in utilizing automation tools to streamline repetitive tasks and enhance overall efficiency.

Within your sixth month, you wil,

• Heavily contribute to database configurations, implementing best practices and troubleshooting procedures.
• Have actively collaborated on the development and maintenance of automated solutions for workload analysis at scale.

These milestones will not only showcase your integration into the team but also highlight your substantial contributions to the optimization and efficiency enhancement of our database infrastructure.

Compensation for this role

The standard base salary range for this position is $104,000 - $130,000 per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Joining Collibra’s Customer Experience Testing Team

We're looking for a talented Software Development Engineer in Test (SDET) who will play a crucial role in ensuring the quality, scalability, and reliability of our software applications. In this role, you will work autonomously to drive quality initiatives, advocate for a shift-left testing approach, and consistently meet high-performance standards.  You will be responsible for testing the installation and deployment of software across multiple cloud providers, as well as  defining, creating, and executing both manual and automated tests for complex customer user journeys. You will experiment with a variety of testing tools, promote quality awareness across the Product and Engineering organization, and build scalable pipelines and frameworks that align with our business environment.

This is a hybrid role based in our Raleigh office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.

SDETs at Collibra are responsible for

• Defining, creating, and executing manual and automated tests for customer user journeys, ensuring they accurately reflect real-world customer use cases.
• Using, developing, and executing robust automation scripts and scalable frameworks (rather than relying solely on out-of-the-box tools) using Cypress, Playwright, Rest Assured, JMeter, and Selenium.
• Building, maintaining, and integrating automated tests into CI/CD pipelines using GitHub Actions and Jenkins, while managing test environments with containerization technologies (Docker, Kubernetes, Helm).
• Combining strong coding skills with exploratory and manual testing sessions to catch edge cases that automation might miss. You will also define, create, and maintain complex test data.
• Utilizing observability tools (Grafana, Datadog) to analyze test results, identify bottlenecks, and collaborate with system architects and engineers to optimize software and hardware configurations.
• Partnering with Engineering, Product, and Architecture teams to understand customer context, drive shift-left testing practices, and support peers in expanding their testing capabilities.
• Applying the scientific method (observe, research, hypothesize, test, conclude) to systematically break down complex configurations into manageable tasks. You will track issues to resolution, report on quality metrics, and integrate emerging trends to enhance ROI.

You have

• 4+ years of experience in software testing and test automation, preferably within a SaaS or enterprise software environment.
• A bachelor’s degree in a related field or equivalent working experience.
• Strong programming skills in Java, Python, and/or JavaScript/TypeScript to build custom testing infrastructure.
• Hands-on experience with industry-standard test automation tools (Cypress, Playwright, Selenium, Rest Assured, JMeter, etc.).
• Strong understanding of DevOps principles and CI/CD pipelines (GitHub Actions, Jenkins, Gradle). Experience working with Cloud platforms (AWS, Google Cloud) and containerization technologies (Docker, Kubernetes). Familiarity with GovCloud/FedRAMP environments is a strong plus.
• A critical mindset to discern what to automate and what not to, strategically sampling critical tests with a focus on balancing risk, cost, and value.
• Strong analytical capabilities to identify flaws in the testing process, toolset, or infrastructure, and the ability to propose and drive necessary improvements.
• This position is not eligible for visa sponsorship.
•  A bachelor’s degree or equivalent related working experience is required.

You are

• Because this role will support the US government, it is required candidates be a US citizen who resides on US soil.
• An independent, critical thinker who possesses natural curiosity, keen attention to detail, and the ability to act as a solution-oriented professional who uses out-of-the-box thinking to solve real-world performance challenges.
• A collaborative communicator who can demonstrate open, clear, and effective communication (verbal, technical, and written) and enjoys collaborating with globally distributed, cross-functional teams.
• Keen to explore how you can utilize AI tools and coding assistants to increase efficiency in testing and automation.
• Accustomed to working in an Agile/Kanban environment, you can prioritize workloads and see the big picture when troubleshooting quality issues.
• Passionate about expanding testing awareness across the engineering department and mentoring your peers to elevate the team's overall quality standards.

Measures of success

• Within your first month: You will complete onboarding, establish your local development environment, and gain a foundational understanding of our testing framework architecture and core customer user journeys.
• Within your third month: You will be actively delivering robust automation scripts and integrating these tests into our CI/CD pipelines to ensure continuous quality feedback.
• Within your sixth month: You will lead the end-to-end automation strategy for critical user journeys, utilizing observability data to proactively eliminate bottlenecks and drive measurable improvements in overall application quality and customer satisfaction.

Compensation for this role

The standard base salary range for this position is $116,000.00 - $145,000.00 per year.This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

In addition to base salary, we offer a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements
• Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability
• Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients
• Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience

An Ideal Candidate Should Have

• Proven experience in backend development: TS/Node (required)
• Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers
• Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact
• Preferred: Experience with Docker and containerized deployments
• Preferred: Proficiency in deploying high availability applications on Kubernetes

What We Offer

• A dynamic environment where your contributions shape the company and its products
• A team that values innovation, intuition, and drive
• Autonomy, fostering focus and creativity
• The opportunity to have a significant impact in a revolutionary industry
• Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture
• The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more
• An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain

The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Senior Solutions Engineer, Raleigh, NC

• What you'll do as a Senior Solutions Engineer

  The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. 

  You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have experience in working in a pre-sales or other technical customer facing role supporting large enterprise accounts or acquiring new enterprise customers, as well as excellent verbal and written communication skills suited to explain the benefits of CloudFlare products and services to existing and potential customers. In this role you will be responsible for partnering with the sales team to understand customer requirements and provide sales support, prepare and deliver technical presentations and demos explaining the benefits of Cloudflare products to existing and potential customers, and run proof of concept trials for customers.

  Specifically, we are looking for you to:

  • Identify and map customer initiatives and business problems to Cloudflare solutions
  • Build relationships and technical champions within customer accounts
  • Develop and present customer presentations at every Enterprise Customer’s organization level
  • Lead demo and proof-of-concept activities for Cloudflare prospects and customers
  • Demonstrate your expertise of Cloudflare with your peers  through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
  • Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise.
  • Apply in-depth vertical knowledge or domain expertise. Advise on best practices.

  Basic Requirements

  • Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
  • Solid communication, written and presentation skills
  • Ability to work on several projects and activities concurrently
  • Highly driven individuals that are curious, team players and work with a sense of urgency
  • Bachelor’s Degree or equivalent in relevant work experience
  • The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.

   

  Examples of one or more desirable skills, knowledge and experience

  • Fundamental understanding of customer network and/or application architectures. 
  • Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
  • Understanding, knowledge or experience of application and/or network security 
  • Understanding, knowledge or experiences with SaaS application environments
  • Understanding, knowledge or experience with VPN and remote access challenges
  • Understanding, knowledge or experience with SIEM and log analytics platforms 
  • Client OS fundamentals and software distribution

  Other desirable skills areas include:

  • Experience interacting with senior level/executives to communicate a message of network and security transformation
  • Routing, subnetting, split tunnels. SD-WAN, local internet breakout
  • End user and application security risks - DDoS, malware, phishing, viruses
  • Knowledge of competitive market  around CDN providers and internet security technologies

At Target RWE, our mission is driven by a deep commitment to people—whether it’s the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science. 

We are seeking a talented Data Engineer to join our Technology team. In this role, you will develop, create, and modify computer application software and databases to drive operational efficiency and improve business processes. You will collaborate closely with stakeholders to analyze user needs, design custom software solutions, and implement scalable, reliable applications that support Target RWE’s mission.

What You’ll Do

• Design and implement data pipelines and software solutions that promote operational efficiency and scalability.
• Analyze business requirements and work with stakeholders to translate needs into technical solutions.
• Write clean, maintainable code primarily in Python, with a strong emphasis on SQL for data manipulation and transformation.
• Support and optimize cloud-based data infrastructure (AWS preferred).
• Develop and modify databases to support internal applications.
• Collaborate with operations and product teams to support deployment, testing, and maintenance.
• Help troubleshoot production issues and contribute to ongoing improvement efforts.
• Stay up to date on relevant tools, technologies, and best practices.

What You’ll Bring

• 3+ years of software development experience, ideally in data engineering, data platform development, or backend systems.
• Strong proficiency in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure) and working in cloud-native environments.
• Familiarity with version control and CI/CD tools (e.g., GitLab, GitHub Actions).
• Strong problem-solving and communication skills.
• Ability to work independently and manage tasks with moderate supervision.

Nice to Have 

• Experience working with or developing machine learning pipelines or models.
• Exposure to Generative AI or LLM frameworks (e.g., Langchain, LangGraph).
• Knowledge of distributed computing concepts or tools (e.g., Spark, Dask).
• Background in healthcare, life sciences, or clinical data.
• Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

If you are ready to be part of a team where your work truly matters - where your expertise is valued, your growth is supported and your contributions help shape the future of healthcare, Target RWE is the place for you. We’re building something meaningful together, and we’d love for you to be a part of it. 

What we offer you

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave 

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

The Cloud Engineering team in the Platform Engineering organization operates to build a highly available, secure, and scalable cloud infrastructure.

As an Infrastructure Engineer on this team, you ensure that our cloud infrastructure platform is continuously improved, secure, and scaled to meet our clients' needs.  Your responsibilities include creating, monitoring, and automating cloud infrastructure and pipelines, collaborating with engineering teams, security and other platform teams to deliver highly reliable and secure offerings, and providing support for existing solutions and consulting on how to automate their workloads on cloud infrastructure. From code, to compile, to test, to deployment, you are responsible for the software lifecycle beyond just writing code.   In this role, you support and operate a physical datacenter located in Raleigh, North Carolina.

Responsibilities

• Support and operate physical datacenter infrastructure, including servers, storage, networking, and rack-and-stack activities.
• Manage and maintain VMware vSphere / ESXi environments, including host builds, upgrades, patching, and troubleshooting.
• Administer enterprise storage platforms such as Pure Storage and/or NetApp, including provisioning, snapshots, replication, and performance monitoring.
• Perform hardware lifecycle activities: installs, replacements, firmware upgrades, and decommissioning.
• Participate in planned maintenance, change control, and incident response for datacenter systems.
• Build infrastructure-as-code software and other tools providing a foundation for software teams to rapidly build large scale cloud systems.
• Establish a golden AMI pipeline and maintain a continuous patching schedule for all cloud resources.
• Operationalize the resiliency and disaster recovery processes for IaaS landscape.
• Automation of key operating and security processes in IaaS workloads.
• Infrastructure management via Configuration Management platform to ensure security and full stack automation for applications, drive the use of the platform and standards for all applications.
• Drive investigation and resolution of security incidents impacting cloud infrastructure.
• Work closely with security team to address vulnerabilities, evidence gathering and securing our infrastructure.
• Handle the security hardening efforts for major OS distributions to ensure overall compliance and a streamlined service for internal clients.
• Participate in the rotating on-call schedule. Ensure that user emergencies, platform alerts, and support requests are addressed.
• Identify and solve problems in cloud and hybrid environments and the ability to create and implement a new solution from scratch.
• Mentor and develop less experienced engineers.

Qualifications 

Minimum Qualifications  

• 3+ years’ hands-on experience working in a physical datacenter environment.
• Minimum of 2 days on-site in our data center, additional may be required based on business needs.
• Based in the Raleigh-Durham (RDU) area, North Carolina.
• Strong experience with VMware (vSphere / ESXi) in a production setting.
• Experience administering enterprise storage platforms, preferably Pure Storage and/or NetApp.
• Familiarity with server hardware (Dell, HPE, or similar), RAID, BIOS/firmware management.
• Experience following change management and operational best practices.
• Knowledge and experience of high availability and scalability.
• Experience with AWS foundations, including computer, networking, storage, and security.
• Experience architecting containerization solutions in cloud environments like ECS or EKS.
• A strong background in systems engineering, especially with tools like Docker and Kubernetes in Linux and containerized environments
• Expertise in implementing content delivery solutions at the edge.
• A thorough understanding of IAM roles, access management, DNS, load balancing, routing, firewalls, and monitoring tools for cloud and hybrid environments
• Experience deploying and supporting AWS network services, including VPC, Subnets, Route Tables, NACLs, Security Groups, TGW, GWLB, VPC Endpoints, Route53.
• Knowledge of AWS compute, data sources, security technologies, services including EC2, S3, IAM, ECS, EKS, Load Balancers, SCP, RAM, CloudWatch, CloudTrail, WAF.
• Experience architecting and securing regulated enterprise-class cloud services with compliance frameworks like SOC2, NIST, and ISO.
• Experience with logging and monitoring systems like Datadog and Cloudwatch.
• Familiarity and ability to diagnose large systems - how they work and can be operated on a large scale, edge cases, failure modes, behaviors.
• Proficient in writing code/scripting in languages like.
• Automation of infrastructure with CDK, Terraform, and Ansible, as well as containerization using EKS or ECS.
• Ability to diagnose complex distributed systems problems whether it be system, network or code.
  
  

Preferred Qualifications 

• You have a bachelor's degree, or higher, in Computer Science or related field.
• You are capable of operating in a highly collaborative/Agile environment with other team members as well as all software engineering.
• You have the ability to operate independently and self-prioritize work. You are a team player, and an exceptional communicator.
• You enjoy learning new technologies and help foster a collegial environment of continuous improvement and innovation.

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $100,000-$145,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

At Rithum the Database Reliability Engineering (DBRE) team is responsible for the availability, reliability, and observability of all database systems. We rely heavily on automation to reduce manual work and are always looking for ways to improve our processes. We currently Manage and optimize a large-scale SQL Server environment spanning hundreds of instances across hybrid infrastructure (onprem VMware and AWS), as well as installations of various relational and NoSQL database platforms including MongoDB, DynamoDB, Elasticsearch, MySQL, Postgres, and Redis. These database systems touch all aspects of the business. On the DBRE team, we have a strong culture of curiosity, honesty, and a love of collaboration and constant learning.  

As a Senior Database Reliability Engineer, you are expected to embody these values and help foster them among your fellow team members. You are responsible for managing a variety of database systems and designing and leading your own projects with a highly technical approach.

Responsibilities

• Ensure maximum availability and reliability of mission-critical database systems across hybrid infrastructure.
• Design, implement, and maintain SQL Server Always-on Availability Groups, clustering, and replication topologies. Constantly improve the observability of all database systems.
• Lead major database upgrade initiatives and modernization efforts. Support other engineers and teams in their use of database systems.
• Continuously enhance observability using telemetry, performance analysis, and proactive monitoring.
• Continuously enhance processes through automation. Automate operational workflows using PowerShell, Python, and CI/CD tooling.
• Ensure all data is protected and secure
• Participate in our on-call rotation
• Troubleshoot and tune high-load production systems, including complex performance and replication issues.
• Lead technical response during high-severity incidents and conduct root cause analysis.
• Ensure database security, backup integrity, and disaster recovery readiness.
• Contribute to the development of best practices for database engineering and reliability.
• Collaborate cross-functionally to design scalable, resilient data architectures.
• Mentor team members and contribute to engineering best practices.

Qualifications 

Minimum Qualifications  

• 3+ years of hands-on experience managing database systems
• Basic understanding of multi-tenant, database-driven applications
• Familiarity with common data storage technologies and use cases
• Proficiency in a common high-level language such as PowerShell or Python
• Design, implement, and support SQL Server Always On Availability Groups, clustering, and transactional replication
• Lead and execute major upgrade initiatives (e.g., SQL Server version upgrades, compatibilitylevel transitions)
• Own disaster recovery validation and failover strategy execution
• Investigate and resolve complex replication and distribution database failures

Preferred Qualifications 

• 5+ years of hands-on experience administering production database systems at scale
• Bachelor’s degree in a related field
• Experience with database high-availability technologies
• Experience with MongoDB (including replica sets and Atlas), DynamoDB, or other distributed NoSQL platforms
• Familiarity with cloud-native database architectures (AWS preferred)
• Exposure to data platform modernization initiatives (e.g., migration to newer engine versions, consolidation, cloud adoption)
• Knowledge of relational database design concepts in an OLTP environment
• Experience managing database systems in a cloud environment
• Strong problem-solving and analytical skills
• Excellent communication and teamwork abilities
• Commitment to continuous learning and professional development

 Travel Required  

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $90,000-$140,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

Rithum™ is the world’s most trusted commerce network, accelerating how brands, suppliers, and retailers work together to deliver seamless e-commerce experiences. We provide an unmatched platform for brands and retailers, enabling them to accelerate growth, optimize operations across channels, scale product offerings and enhance margins.

Today, more than 40,000 companies trust Rithum to grow their business across hundreds of channels, representing over $50 billion in annual GMV. Using our commerce, marketing, and delivery solutions, our customers create optimized consumer shopping journeys from beginning to end.

Overview

The Cloud Engineering team in the Platform Engineering organization operates to build a highly available, secure, and scalable cloud infrastructure.

As an Infrastructure Engineer on this team, you ensure that our cloud infrastructure platform is continuously improved, secure, and scaled to meet our clients' needs.  Your responsibilities include creating, monitoring, and automating cloud infrastructure and pipelines, collaborating with engineering teams, security and other platform teams to deliver highly reliable and secure offerings, and providing support for existing solutions and consulting on how to automate their workloads on cloud infrastructure. From code, to compile, to test, to deployment, you are responsible for the software lifecycle beyond just writing code.   In this role, you support and operate a physical datacenter located in Raleigh, North Carolina.

Responsibilities

• Support and operate physical datacenter infrastructure, including servers, storage, networking, and rack-and-stack activities.
• Manage and maintain VMware vSphere / ESXi environments, including host builds, upgrades, patching, and troubleshooting.
• Administer enterprise storage platforms such as Pure Storage and/or NetApp, including provisioning, snapshots, replication, and performance monitoring.
• Perform hardware lifecycle activities: installs, replacements, firmware upgrades, and decommissioning.
• Participate in planned maintenance, change control, and incident response for datacenter systems.
• Build infrastructure-as-code software and other tools providing a foundation for software teams to rapidly build large scale cloud systems.
• Establish a golden AMI pipeline and maintain a continuous patching schedule for all cloud resources.
• Operationalize the resiliency and disaster recovery processes for IaaS landscape.
• Automation of key operating and security processes in IaaS workloads.
• Infrastructure management via Configuration Management platform to ensure security and full stack automation for applications, drive the use of the platform and standards for all applications.
• Drive investigation and resolution of security incidents impacting cloud infrastructure.
• Work closely with security team to address vulnerabilities, evidence gathering and securing our infrastructure.
• Handle the security hardening efforts for major OS distributions to ensure overall compliance and a streamlined service for internal clients.
• Participate in the rotating on-call schedule. Ensure that user emergencies, platform alerts, and support requests are addressed.
• Identify and solve problems in cloud and hybrid environments and the ability to create and implement a new solution from scratch.
• Mentor and develop less experienced engineers.

Qualifications 

Minimum Qualifications  

• 3+ years’ hands-on experience working in a physical datacenter environment.
• Minimum of 2 days on-site in our data center, additional may be required based on business needs.
• Based in the Raleigh-Durham (RDU) area, North Carolina.
• Strong experience with VMware (vSphere / ESXi) in a production setting.
• Experience administering enterprise storage platforms, preferably Pure Storage and/or NetApp.
• Familiarity with server hardware (Dell, HPE, or similar), RAID, BIOS/firmware management.
• Experience following change management and operational best practices.
• Knowledge and experience of high availability and scalability.
• Experience with AWS foundations, including computer, networking, storage, and security.
• Experience architecting containerization solutions in cloud environments like ECS or EKS.
• A strong background in systems engineering, especially with tools like Docker and Kubernetes in Linux and containerized environments
• Expertise in implementing content delivery solutions at the edge.
• A thorough understanding of IAM roles, access management, DNS, load balancing, routing, firewalls, and monitoring tools for cloud and hybrid environments
• Experience deploying and supporting AWS network services, including VPC, Subnets, Route Tables, NACLs, Security Groups, TGW, GWLB, VPC Endpoints, Route53.
• Knowledge of AWS compute, data sources, security technologies, services including EC2, S3, IAM, ECS, EKS, Load Balancers, SCP, RAM, CloudWatch, CloudTrail, WAF.
• Experience architecting and securing regulated enterprise-class cloud services with compliance frameworks like SOC2, NIST, and ISO.
• Experience with logging and monitoring systems like Datadog and Cloudwatch.
• Familiarity and ability to diagnose large systems - how they work and can be operated on a large scale, edge cases, failure modes, behaviors.
• Proficient in writing code/scripting in languages like.
• Automation of infrastructure with CDK, Terraform, and Ansible, as well as containerization using EKS or ECS.
• Ability to diagnose complex distributed systems problems whether it be system, network or code.
  
  

Preferred Qualifications 

• You have a bachelor's degree, or higher, in Computer Science or related field.
• You are capable of operating in a highly collaborative/Agile environment with other team members as well as all software engineering.
• You have the ability to operate independently and self-prioritize work. You are a team player, and an exceptional communicator.
• You enjoy learning new technologies and help foster a collegial environment of continuous improvement and innovation.

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

When you join Rithum, you can expect to work with smart risk-takers, courageous collaborators, and curious minds.

As part of the Rithum team, you are valued, supported, and included. Guided by a transparent culture and accessible, approachable leadership, we offer career opportunities aligned to your ambitions and talents. To ensure work and life balance works for you, we also offer an array of resources to support you and your families, including comprehensive benefits and wellness plans.

At Rithum you will:

• Partner with the leading brands and retailers.
• Connect with passionate professionals who will help support your goals.
• Participate in an inclusive, welcoming work atmosphere.
• Achieve work-life balance through remote-first working conditions, generous time off, and wellness days.
• Receive industry-competitive compensation and total rewards benefits.

We believe in transparency and fairness in our compensation practices.

For this position, the expected base pay range is: $100,000-$145,000 per year. 

This range represents the base pay for the role across all U.S. locations and is determined based on market data, internal equity, and experience. Final compensation may vary depending on geographic location, skills, and relevant experience.In addition to base pay, we offer a discretionary bonus for non-sales roles, a comprehensive benefits package, and, where applicable, sales incentives.

For this position, the expected discretionary bonus is 10% of the annual base salary.

 Benefits 

• Medical, dental and vision benefits: Affordable health care plans and company HSA contributions, starting on Day 1
• A 6% 401(k) match
• Competitive time off package with 20 days of Paid Time Off, 9 Company-Paid holidays, 2 paid floating holidays, 7 paid sick days, 2 Wellness days, and 1 Paid Volunteer Day; at 3 years of service PTO increases to 22 days, and at 5 years it increases to 25 days
• 12 weeks primary caregiver leave & 4 weeks secondary caregiver leave
• Accident, critical illness, and hospital indemnity insurance
• Pet insurance
• Legal assistance and identity theft insurance plans
• Life insurance 2x salary
• Access to the Calm app and the Employee Assistance Program
• $65/month Remote work stipend for internet
• Culture and team-building activities
• Tuition assistance
• Career development opportunities
• Charitable contribution match up to $250 per year

Rithum is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other protected characteristic. All employment is decided on the basis of qualifications, merit, and business need.

We're committed to providing reasonable accommodations in accordance with the law for qualified applicants. If you require assistance during the interview process due to a medical condition or need support accessing our website or completing the application process, please reach out to us by completing the Accommodations Request Form. Your comfort and accessibility are important to us, and we're here to ensure a seamless experience as you explore opportunities with our team.

At Target RWE, our mission is driven by a deep commitment to people, the patients we serve, the partners we collaborate with, and the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to help advance science securely and responsibly.

Overview

• Seeking a Senior DevSecOps Engineer to secure internal infrastructure, cloud services, deployment tooling, and development workflows
• Lead design, implementation, and continuous improvement of secure, scalable production platforms
• Embed security across the full software development lifecycle (SDLC)
• Partner closely with engineering, infrastructure, and application teams

What You’ll Do

• Perform advanced vulnerability assessments across cloud, infrastructure, and application platforms
• Partner with application owners to prioritize and drive remediation efforts
• Design, implement, and optimize secure CI/CD pipelines and deployment tooling
• Integrate security into the SDLC (code scanning, secrets management, policy enforcement)
• Apply best practices for system hardening, configuration management, IAM, and least-privilege access
• Define and evolve security controls, standards, and guardrails across the organization
• Leverage modern cloud and DevOps technologies to build secure, scalable infrastructure
• Lead and support security incident response, including root cause analysis and long-term remediation
• Mentor engineers and promote a strong security-first culture
• Develop and maintain security documentation, runbooks, and internal knowledge sharing

What You’ll Bring

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5+ years of experience in security engineering, DevSecOps, or infrastructure security
• Hands-on experience securing cloud platforms (AWS preferred) at scale
• Experience securing CI/CD pipelines and containerized environments (Docker, Kubernetes)
• Strong experience with Infrastructure as Code (Terraform, CloudFormation, Chef, Puppet, Ansible, or Salt)
• Solid networking fundamentals (VPCs, ACLs, subnets, DNS, routing, segmentation)
• Experience with Linux systems and relational databases (PostgreSQL)
• Proficiency in at least one scripting language and Git-based workflows
• Experience with security tooling (SAST, DAST, dependency scanning, secrets management)
• Strong collaboration skills in distributed teams
• Clear communication, ownership mindset, and strong problem-solving abilities
•  

Nice to Have

• Experience in regulated environments (healthcare, life sciences, or similar)
• Advanced networking and cloud security experience (firewalls, zero-trust architectures)
• Familiarity with CSPM tools (Wiz, Rapid7, or similar)
• Kubernetes security and runtime protection experience
• Experience with Jira and Confluence
• CISSP, AWS Security Specialty, or similar certifications

If you’re excited to help protect systems that support meaningful healthcare research, where your expertise directly contributes to trust, compliance, and patient impact, Target RWE is the place for you. We’re building something important together, and we’d love for you to be a part of it.

What We Offer You

• Hybrid work — 3 days/week in our brand-new office!
• Comprehensive health, dental, and vision coverage for you and your family
• 401(k) with company match
• Generous PTO and company holidays
• Paid parental leave

Hybrid role: Located in Research Triangle Park, North Carolina

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

We are seeking a Senior Analytics Engineer to serve as a senior technical authority for the analytics data layer, driving scalable modeling patterns, governance, and performance across multiple domains. In this role, you will architect core datasets and semantic foundations, lead complex cross-functional initiatives, mentor engineers and analysts, and establish engineering and governance patterns for AI agent building and lifecycle management. You will also provide analytics-facing leadership for Sigma Administration and Snowflake Administration consistent with senior expectations.

What You'll Do:

• Architect the analytics layer: Design enterprise-grade dimensional models, conformed dimensions, and shared marts enabling consistent reporting across domains.
• Establish standards and governance: Define/enforce modeling conventions, metric definitions, documentation requirements, and data contracts.
• Lead complex initiatives: Drive cross-team builds/rebuilds and migrations end-to-end with clear impact analysis, sequencing, risk management, and stakeholder alignment.
• Lead semantic modeling: Define semantic modeling strategy and patterns (entities, relationships, governed metrics) for BI and agent consumers.
• Lead agent enablement patterns: Establish data structures and governance to support AI agents (grounding/citations-ready provenance, versioned prompts/config where applicable, evaluation datasets, exception queues).
• Implement observability patterns: Establish monitoring/alerting strategy (freshness/volume/quality) and basic anomaly detection guardrails; mature incident response playbooks.
• Ensure platform excellence: Create performance and cost guardrails for Snowflake; standardize efficient patterns in dbt and SQL; prevent regressions.
• Lead Snowflake Administration (analytics-facing): Own analytics-oriented administration patterns including RBAC conventions for consumption, access workflows, operational guardrails, and cost governance (production administration expectation). 
• Operationalize AI/analytics workflows: Define and standardize n8n automation patterns for approvals, escalations, exception queues, and system-to-system integrations supporting analytics and agent workflows.
• Represent analytics engineering in architecture reviews and governance councils.
• Participate in tool/vendor evaluations and implementation planning within approved stack and capability categories.

What You Need:

• Bachelor’s degree required; Master’s preferred (or equivalent senior-level experience). 
• 5–8+ years relevant experience in analytics engineering, analytics-focused data engineering, or BI platform engineering.
• Expert SQL and deep experience with dimensional modeling and enterprise metric consistency.
• Significant dbt experience including project architecture, macros, test strategy, templates, and deployments; deep understanding of analytics-engineering workflows (dbt, governance, testing). 
• Demonstrated leadership in driving technical initiatives and mentoring other engineers. 
• In-depth knowledge of generative AI / LLM concepts and enterprise application patterns (agent enablement, governance). 
• Working leadership knowledge of production Snowflake administration (analytics-facing).

Bonus Points:

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.

Experience:

• Strong Python proficiency for automation, validation frameworks, and data tooling.
• Experience implementing semantic/metric layer tooling (category) at scale.
• Familiarity with data cataloging/lineage tooling (category).
• Experience coordinating orchestration patterns with tools such as Prefect.
• Demonstrated success implementing integration frameworks using tools such as n8n (and similar platforms). 
• Technical vision with ability to balance innovation and practical implementation.

Technical Skills:

• Expert SQL & architecture: Set modeling direction across domains; design for scalability, maintainability, and cross-domain consistency; define performance standards and anti-patterns.
• dbt architecture leadership: Own dbt project structure, macro strategy, testing strategy, documentation standards, and deployment patterns; prevent regressions via CI/CD guardrails.
• Enterprise semantic modeling strategy: Define semantic modeling patterns (entities, relationships, governed metrics) used consistently across BI and agent consumers; reduce duplicated logic.
• Snowflake Administration (analytics-facing, production): Lead analytics-oriented admin patterns: RBAC conventions for consumption, access governance workflows, cost/performance guardrails, operational runbooks, and environment promotion hygiene.
• Sigma Administration (lead): Own workspace governance: organization/folder strategy, access governance, content standards, usage-quality controls, and enablement patterns.
• Agent building enablement (org patterns): Establish standardized structures and governance to support AI agents: provenance/citation-ready data, versioned configurations where applicable, evaluation datasets, exception handling/review workflows, and lifecycle maintenance patterns.
• Observability engineering: Define monitoring/alerting standards for freshness/volume/quality; implement basic anomaly detection guardrails and incident response playbooks.
• AWS ecosystem awareness: Understand how AWS constraints (security posture, networking, cost governance) affect data access, operations, and analytics/agent enablement.
• Orchestration standards: Define integration patterns with Prefect (dependency design, SLA management, failure handling) and expectations for pipeline reliability.
• n8n platform patterns: Standardize n8n usage for operational workflows (approvals/escalations/exception queues/integrations) supporting analytics and agent operations.

Soft Skills:

• Strategic thinker with ability to align technical solutions with business objectives.
• Strong problem-solving and analytical skills; able to address complex technical challenges effectively.
• Clear communicator; engages effectively with both technical teams and business stakeholders.
• Effective mentor; promotes technical excellence among engineering teams.
• Self-directed, with ability to manage multiple technical initiatives and priorities.
• Detail-oriented with commitment to quality in architecture, code, documentation, and solution design.
• Passionate about leveraging emerging AI technologies and automation platforms to improve business operations.
• Experience contributing to the development of technical talent and engineering capabilities.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer Success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations.

We are seeking a Senior Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• Passion for mentoring/developing others and experience leading small teams through post-sale software implementation
• Ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 3+ years of experience with hands-on software development or technical consulting
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

The base salary for this role is between $100,000-$150,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

About the Position

We're looking for a Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help build and scale the data infrastructure that powers our drug development platform. In this role, your primary focus will be supporting the Data Science team — building the coherent, well-structured data models, feature engineering pipelines, and evidence layers that underpin their scientific work. You'll also be responsible for ingesting data from a wide variety of sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets using modern data tooling.

This is a foundational engineering role for someone who takes pride in building things right: reliable pipelines, well-structured data models, and systems that others can trust and build on. You'll work closely with Data Scientists and other engineers across the SDI team to ensure that high-quality data is consistently available where and when it's needed — and structured in a way that directly accelerates scientific discovery.

The ideal candidate is deeply fluent in Snowflake and dbt, has strong opinions about data modeling best practices, and has experience handling large and complex datasets across diverse ingestion patterns. You thrive in environments where data quality and engineering rigor are treated as first-class concerns.

Responsibilities

• Partner closely with Data Scientists and other teams to build coherent data models, feature engineering pipelines, and structured evidence layers that directly support scientific analysis and machine learning workflows.
• Design and build scalable ingestion pipelines to onboard data from diverse sources including REST APIs, flat files, relational databases, and licensed third-party datasets.
• Develop and maintain robust data models in dbt, adhering to best practices around modularity, testing, documentation, and layered architecture (staging, intermediate, mart).
• Orchestrate pipelines using Dagster to ensure reliable, observable, and maintainable workflows.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthiness of datasets across the platform.
• Collaborate with Data Scientists and analysts to understand data needs and translate them into well-structured, reusable models.
• Handle large-scale data movement and transfer scenarios, applying appropriate tooling and patterns to ensure efficiency and reliability at scale.
• Document data models, pipeline logic, and transformation assumptions to support discoverability and data governance.

About You

• You have 5+ years of experience in data engineering, with a strong track record of building and maintaining production-grade pipelines.
• You are deeply fluent in dbt and follow best practices rigorously—including modular model design, sources and refs, testing (schema + data), documentation, and environment management.
• You have hands-on expertise with Snowflake, including schema design, performance tuning, and data governance patterns.
• You have experience with at least one modern orchestration tool—we use Dagster, but experience with Airflow or Prefect is equally welcome.
• You have broad ingestion experience across source types: REST APIs, flat files (CSV, JSON, Parquet), relational databases, and vendor-licensed datasets.
• You have worked with large datasets (TB -> PB scale) and understand the engineering considerations that come with scale—partitioning, incremental loading, efficient data movement, and storage optimization.
• You're a strong data modeler who thinks carefully about how data is structured, named, and layered for downstream usability.
• You value documentation, testability, and building things others can maintain and extend.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You have experience with data quality and observability tooling such as Elementary, Great Expectations, or similar frameworks — and you treat data quality as a first-class engineering concern, not an afterthought.
• Bonus: You have experience with Spark, Databricks for large-scale data processing workloads.
• Bonus: You have experience with large-scale data transfer tooling such as AWS DataSync, AWS S3 Transfer Acceleration, or equivalent cloud-native data movement services.
• Bonus: You have experience in healthcare or life sciences data environments, including familiarity with EHR, claims, or other biomedical datasets.

Total Compensation Range: $177,500 - $232,000

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

As an Applied AI Engineer on the Corporate IT Engineering team, you’ll identify where AI can create real leverage across our internal systems and operations, and build it. You’ll work inside a team that owns a broad and complex infrastructure footprint, embedding AI into the platforms and workflows that keep Bandwidth running. This is an infrastructure and systems role with a deep AI focus.

What You'll Do:

• Own and extend existing AI platforms and tooling, improving reliability, expanding capabilities, and integrating them more deeply with internal systems.
• Architect and build internal API layers and shared services that allow AI workflows and internal applications to publish, version, and retrieve outputs across the engineering ecosystem.
• Identify and build AI-powered tooling that creates leverage across the Corporate IT Engineering stack, including infrastructure, identity, monitoring, and automation platforms.
• Develop and iterate on proof-of-concepts that demonstrate how AI can augment or automate internal workflows; from anomaly detection in infrastructure logs to AI-assisted documentation and IT troubleshooting.
• Containerize and orchestrate AI workloads using Docker and Kubernetes, ensuring reliable and reproducible deployments across environments.
• Automate infrastructure provisioning and configuration using Terraform and Ansible, following infrastructure-as-code best practices.
• Establish AI development patterns and best practices across the Corporate IT Engineering organization, helping teams adopt AI capabilities effectively and responsibly.
• Stay current with the evolving AI and MLOps landscape and bring relevant advancements back to the team.

What You Need:

• AI & Application Development
• Hands-on experience owning or extending LLM-powered platforms, including RAG pipeline development, prompt engineering, and integrating LLM APIs into production internal systems.
• Expert-level knowledge of AI infrastructure, including model serving, inference optimization, GPU/CPU resource management, and MLOps pipelines.
• Experience designing and building internal API layers or shared platform services that multiple teams and systems publish to and consume from.
• Proficiency in Python and/or TypeScript for building integrations, scripts, and lightweight internal services.
• Experience working with REST APIs and building integrations across a diverse internal tooling ecosystem.
• Cloud & Infrastructure
• Strong AWS experience: required proficiency in core services (EC2, ECS/EKS, S3, RDS, Lambda, IAM, VPC) and experience architecting and operating production workloads on AWS.
• Deep Docker and Kubernetes expertise: required hands-on experience containerizing applications, writing Dockerfiles, managing multi-container deployments, and orchestrating workloads with Kubernetes (EKS or self-managed).
• Deep Terraform and Ansible expertise: required experience writing and maintaining Terraform modules for cloud infrastructure, and using Ansible for configuration management and automation.
• Experience with GitHub for version control, pull request workflows, branching strategies, and CI/CD integration.
• Experience with Artifactory for artifact management, including publishing and consuming build artifacts, Docker images, and package registries.
• Mindset & Collaboration
• An experimental mindset: comfortable inheriting imperfect systems, iterating quickly, and improving as you go.
• Ability to evaluate AI capabilities through a business lens, understanding not just what’s possible but what creates real value for internal teams and the organization.
• Strong communication skills and the ability to explain AI concepts and tradeoffs to non-technical stakeholders.
• A collaborative, team-first approach with a genuine curiosity about where AI is headed.
• A Bachelor’s degree in Computer Science, Engineering, or equivalent hands-on experience.

Bonus Points:

• Experience with agentic frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Familiarity with corporate IT or infrastructure engineering environments, understanding how enterprise platforms around identity, monitoring, and automation operate.
• Background building MCP (Model Context Protocol) servers or tools that extend AI agent capabilities.
• Experience with vector databases (e.g., Pinecone, Weaviate, pgvector) and semantic search.
• Experience building or maintaining internal developer platforms, artifact registries, or shared API services.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

MaintainX is the world’s leading mobile-first Asset and Work Intelligence platform for industrial and frontline environments. We’re a modern, IoT-enabled, cloud-based solution that powers maintenance, safety, and operations on physical equipment and facilities.

We help 12,000+ organizations—including Duracell, Univar Solutions, Titan America, McDonald’s, Brenntag, Cintas, Xylem, and Shell—achieve operational excellence and reliability at scale.

Following our $150 million Series D led by Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures, and Ridge Ventures, MaintainX has raised a total of $254 million, valuing the company at $2.5 billion.

As we enter our next phase of growth, we’re investing deeply in AI/ML, LLMs, and Industrial IoT to transform how frontline teams operate—predicting failures before they happen, automating workflows, and embedding intelligence into every asset and procedure.

The Role

We are seeking a highly skilled and motivated Senior Applied Machine Learning Developer to guide the technical direction and architecture of our Predictive Maintenance and Asset Intelligence initiatives.

You’ll combine deep ML expertise with strong software development and leadership skills—mentoring developers, scaling systems, and driving the roadmap for AI-enabled maintenance intelligence across thousands of industrial sites.

This role sits at the intersection of ML architecture, IoT data systems, and product impact, shaping the foundation for MaintainX’s predictive and generative AI strategy.

What you’ll do:

• Lead technical direction for predictive maintenance, anomaly detection, and LLM-powered intelligence across MaintainX products.
• Architect end-to-end ML systems—from data ingestion and feature development to model training, deployment, and monitoring.
• Mentor a growing team of ML and data developers, instilling best practices for experimentation, evaluation, and model lifecycle management.
• Partner with product and software development leaders to align AI roadmap with customer needs and business goals.
• Design reliable data and feedback loops that connect customer telemetry and operator feedback to model retraining.
• Drive performance optimization through techniques like quantization, distillation, and scalable inference serving.
• Work with LLM frameworks (LangChain, LlamaIndex, Hugging Face) to build reasoning systems and agentic workflows for asset and work intelligence.
• Ensure ML infrastructure meets production standards for latency, reliability, explainability, and security.

About you:

• 7+ years of experience in Machine Learning, Data Science, or Applied AI.
• Expertise in Python, and strong familiarity with PyTorch, TensorFlow, and cloud ML stacks (AWS, Databricks, or similar).
• Proven experience deploying production ML systems—not just prototypes—at scale.
• Strong background in LLMs, time-series modeling, and anomaly detection for real-world data.
• Demonstrated ability to lead architectural decisions, mentor developers, and collaborate across product, data, and platform teams.
• Knowledge of MLOps tooling (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field preferred.

Bonus skills: 

• Experience with OCR for extracting structured data from documents.
• Background in time-series modeling for predictive maintenance and anomaly detection.
• Familiarity with Industrial IoT systems (sensors, telemetry, edge computing).
• Experience applying reinforcement learning or agentic architectures for decision-making and control systems.
• Contributions to open-source ML frameworks or research in reliability, explainability, or digital twins.

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrollment program.
• Take what you need PTO.
• A high impact Culture:
• You’ll work with Smart, Humble Optimists across the globe.
• Meritocratic environment where ideas and outcomes are publicly celebrated.

About us:

We exist to make the lives of frontline and maintenance teams easier by building software that meets their real-world needs. Our product transforms how 80% of the global workforce—those who don’t sit behind a desk—manage their operations, assets, and teams.

MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

MaintainX est la première plateforme mobile au monde dédiée à la gestion des actifs et des tâches dans les environnements industriels et de première ligne. Nous proposons une solution moderne, basée sur l'IoT et le cloud, qui facilite la maintenance, la sécurité et l'exploitation des équipements et installations physiques.

Nous aidons plus de 12 000 organisations, dont Duracell, Univar Solutions, Titan America, McDonald's, Brenntag, Cintas, Xylem et Shell, à atteindre l'excellence opérationnelle et la fiabilité à grande échelle.

À la suite de notre série D de 150 millions de dollars menée par Bain Capital Ventures, Bessemer Ventures, August Capital, Amity Ventures et Ridge Ventures, MaintainX a levé un total de 254 millions de dollars, valorisant la société à 2,5 milliards de dollars.

Alors que nous entrons dans notre prochaine phase de croissance, nous investissons massivement dans l'IA/ML, les LLM et l'IoT industriel afin de transformer le mode de fonctionnement des équipes de première ligne, en prédisant les pannes avant qu'elles ne se produisent, en automatisant les flux de travail et en intégrant l'intelligence dans chaque actif et chaque procédure.

Le poste

Nous recherchons un développeur(se) senior en apprentissage automatique appliqué hautement qualifié et motivé pour orienter la direction technique et l'architecture de nos initiatives en matière de maintenance prédictive et d'intelligence des actifs.

Vous combinerez une expertise approfondie en apprentissage automatique avec de solides compétences en génie logiciel et en sens du leadership. Vous encadrerez des ingénieurs, développerez des systèmes et piloterez la feuille de route pour l'intelligence de maintenance basée sur l'IA sur des milliers de sites industriels.

Ce poste se situe à la croisée de l'architecture d'apprentissage automatique, des systèmes de données IoT et de l'impact des produits, et constitue le fondement de la stratégie d'IA prédictive et générative de MaintainX.

Ce que vous ferez:

• Diriger la direction technique pour la maintenance prédictive, la détection des anomalies et l'intelligence alimentée par LLM dans tous les produits MaintainX.
• Concevoir des systèmes ML de bout en bout, de l'ingestion des données et le développement des fonctionnalités à la formation, au déploiement et à la surveillance des modèles.
• Encadrer une équipe croissante de développeurs(ses) ML et de données, en inculquant les meilleures pratiques en matière d'expérimentation, d'évaluation et de gestion du cycle de vie des modèles.
• Collaborer avec les responsables des produits et de développement afin d'aligner la feuille de route de l'IA sur les besoins des clients et les objectifs commerciaux.
• Concevoir des boucles de données et de rétroaction fiables qui relient la télémétrie des clients et les commentaires des opérateurs au réentraînement des modèles.
• Optimiser les performances grâce à des techniques telles que la quantification, la distillation et le service d'inférence évolutif.
• Travailler avec des cadriciels LLM (LangChain, LlamaIndex, Hugging Face) pour créer des systèmes de raisonnement et des flux de travail agentifs pour l'intelligence des actifs et du travail.
• S'assurer que l'infrastructure ML répond aux normes de production en matière de latence, de fiabilité, d'explicabilité et de sécurité.

À propos de vous:

• Plus de 7 ans d'expérience dans le domaine de l'apprentissage automatique, de la science des données ou de l'IA appliquée.
• Expertise en Python et excellente maîtrise de PyTorch, TensorFlow et des piles ML cloud (AWS, Databricks ou similaires).
• Expérience avérée dans le déploiement à grande échelle de systèmes ML de production, et pas seulement de prototypes.
• Solide expérience en LLM, modélisation de séries chronologiques et détection d'anomalies pour les données du monde réel.
• Capacité avérée à diriger les décisions architecturales, à encadrer les développeurs(ses) et à collaborer avec les équipes chargées des produits, des données et des plateformes.
• Connaissance des outils MLOps (Docker, Kubernetes, Weights & Biases, MLflow, SageMaker).
• Diplôme de deuxième cycle (master/doctorat) en informatique, apprentissage automatique ou dans un domaine connexe préféré.

Une attention particulière est accordée aux candidats présentant les caractéristiques suivantes:

• Expérience avec l'OCR pour l'extraction de données structurées à partir de documents.
• Expérience dans la modélisation de séries chronologiques pour la maintenance prédictive et la détection d'anomalies.
• Connaissance des systèmes IoT industriels (capteurs, télémétrie, edge computing).
• Expérience dans l'application de l'apprentissage par renforcement ou des architectures agentuelles pour les systèmes de prise de décision et de contrôle.
• Contributions à des frameworks ML open source ou à la recherche dans les domaines de la fiabilité, de l'explicabilité ou des jumeaux numériques.

Quels sont les avantages pour vous?:

• Un salaire compétitif et des opportunités d'équité significatives.
• Couverture des soins de santé, des soins dentaires et de la vue.
• Programme d'inscription 401(k) / RRSP.
• Prenez les congés dont vous avez besoin.
• Une culture du travail :
• Vous travaillerez avec des personnes intelligentes, humbles et optimistes à travers le monde.
• Un environnement méritocratique où les idées et les résultats sont publiquement célébrés.

Qui sommes-nous:

MaintainX s'engage à créer un environnement diversifié. Tous les candidats qualifiés seront pris en considération pour un emploi sans considération de race, de couleur, de religion, de sexe, d'identité ou d'expression de genre, d'orientation sexuelle, d'origine nationale, de génétique, d'invalidité, d'âge ou de statut d'ancien combattant.

Role Description

• As an Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations..

We are seeking a Technical Implementation Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian’s platform for our commercial clients. This includes working within an agile environment to understand our client’s business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You’ll brainstorm AI use cases and implement  Appian’s AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client’s technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own.

To be successful in this role, you need:

• The ability to work with clients to define business processes and gather functional and technical system requirements
• Excellent communication skills, passion for technology and continuous learning, and an affinity for asking “why” and solving the right problems
• History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints)
• Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred)

Basic qualifications:

• 1+ years of experience with hands-on software development or technical consulting
• Experience with object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc)
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree
• Willingness to travel; 20% to support customer engagement

#LI-KC1

The base salary for this role is between $75,000-$125,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. 

Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans.

The Role

Akoya is seeking a Principal Software Engineer (Frontend) to lead the next generation of our user experiences and frontend architecture. This role is ideal for an experienced engineer who brings a high bar for design quality, a deep mastery of modern JavaScript and React, and the ability to drive technical strategy across complex products. You combine impeccable attention to detail with strong communication skills and a passion for building elegant, scalable, and intuitive user interfaces that directly empower our customers.

As a Principal Engineer, you will:

• Lead the design and implementation of Akoya’s core frontend architecture, setting standards for code quality, performance, accessibility, and maintainability.
• Drive the evolution and modernization of existing frontend systems, ensuring legacy components remain reliable while guiding their transition toward more scalable, performant, and maintainable patterns.
• Write clean, well-structured, and well-documented code in React, TypeScript/JavaScript, and modern frontend tooling.
• Partner closely with product managers, designers, and backend teams to define requirements, shape features, and deliver polished, high-quality user experiences.
• Debug and resolve complex production issues across the frontend stack, delivering reliable and resilient interfaces.
• Elevate the engineering organization via mentorship, architectural guidance, and code review, enabling teams to deliver at a high level.
• Champion frontend best practices—including performance optimization, component system design, and UX consistency—across the organization.

Qualifications

Not all applicants will have skills that match a job description exactly. Akoya values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or has not followed a traditional path, do not let that stop you from considering Akoya. We are always looking for people who will bring something new to the table!

Required Experience/skills

• 10+ years of professional frontend engineering experience, building and maintaining production web applications at scale.
• Expert-level proficiency in React and modern JavaScript/TypeScript, including state management patterns, hooks, component architecture, and performance tuning.
• Demonstrated experience designing large-scale, modular frontend systems (design systems, component libraries, multi-app architectures, microfrontends, etc.).
• Strong understanding of HTML5, CSS3, responsive design, accessibility standards (WCAG), and web performance best practices.
• Proven ability to lead technical projects autonomously, drive architectural decisions, and communicate complex concepts clearly.
• A strong sense of customer empathy and a track record of delivering intuitive, high-quality user experiences.
• Experience collaborating deeply with product, design, and backend teams to define and deliver cross-functional initiatives.

Preferred Experience/skills

• Experience with frontend build and performance tooling (Webpack, Vite, Babel).
• Background working with design systems or UI component libraries (e.g., Material UI), and partnering with design teams on UX strategy.
• Experience with testing frameworks (Jest, Testing Library, Cypress, Playwright).
• Familiarity with cloud-based environments, CI/CD pipelines, and production observability tools.
• Understanding of backend API design and integration patterns (REST, GraphQL).
• Experience operating within AWS or similar cloud environments.
• Experience with state management in React, such as React Context, custom hooks, or Redux/Redux Toolkit.

Akoya is an equal-opportunity employer.

This remote position is only available to individuals living in the greater Boston, MA, New York City, NY and Raleigh, NC areas. Candidates who do not live within these areas will not be considered for this role.

The Role

Akoya is seeking a seasoned, hands-on Head of Risk & Security to lead and mature our cybersecurity, risk management, and IT governance functions as we scale our secure, API-driven open finance network.

This leader will serve as the operational backbone of Akoya’s security and risk programs — translating strategy into execution. You will lead and develop a team across security engineering, cyber operations, risk, compliance, and IT, while partnering closely with Engineering, Product, Legal, Customer Success, and Business Development.

This role is ideal for a builder — someone who has scaled capabilities in security and risk functions in startup or fintech environments and understands the unique demands of serving both:

• Financial Institutions (Data Providers) with rigorous regulatory and third-party risk requirements
• Fintechs and Data Recipients operating in agile, API-first ecosystems

You will play a critical role in protecting Akoya’s Data Access Network and Open Finance Solution while strengthening trust across our ecosystem of financial institutions and fintech partners.

Key Responsibilities

Risk Management

• Mature and execute Akoya’s enterprise risk management (ERM) framework.
• Develop and track key risk indicators (KRIs) aligned with business OKRs.
• Lead third-party risk management across fintech partners, vendors, and service providers.
• Conduct product risk assessments across new open finance capabilities.
• Support regulatory readiness related to CFPB Section 1033 and evolving open banking requirements.

Security & Cyber Operations Leadership

• Lead day-to-day execution of Akoya’s cybersecurity program across product, infrastructure, and corporate environments.
• Operationalize secure-by-design principles across SDLC in partnership with Engineering.
• Oversee vulnerability management, penetration testing, red teaming, and incident response.
• Drive continuous improvement of zero-trust cloud architectures (AWS-centric).
• Enhance monitoring, automation, and threat intelligence capabilities.

Compliance & Regulatory Alignment

• Own operational execution of SOC 2 Type II and other certifications.
• Ensure alignment with NIST, ISO 27001/27002, GLBA, SOX, PCI (as applicable).
• Partner closely with Legal and Product on regulatory interpretation and implementation.
• Respond to due diligence inquiries from financial institutions, fintechs, investors, and regulators.

IT Governance & Internal Controls

• Oversee corporate IT governance in partnership with the IT Systems Administrator (end-user security, device management, identity, remote access).
• Ensure strong IAM, endpoint protection, DLP, encryption, and secure collaboration tooling.
• Align IT and Security controls with remote-first operating model.

Team Leadership & Organizational Development

• Lead and mentor security engineers, risk analysts, and IT personnel.
• Build scalable team structure aligned with growth in API volume and institutional adoption.
• Foster a strong security culture where accountability and transparency are embedded across functions.
• Act as a senior advisor to ELT.

Ecosystem Trust & External Engagement

• Interface directly with security and risk leaders at major financial institutions and fintech clients.
• Support sales and customer conversations requiring deep technical credibility.
• Represent Akoya in industry forums and working groups (e.g., FDX-aligned initiatives).

Qualifications

Not all applicants will have skills that match a job description exactly. Akoya values diverse experiences in other industries, and we encourage everyone who meets the required qualifications to apply. While having “desired” qualifications make for a strong candidate, we encourage applicants with alternative experiences to also apply. If your career is just starting or has not followed a traditional path, do not let that stop you from considering Akoya. We are always looking for people who will bring something new to the table!

Required Experience/skills

• 12+ years in enterprise risk, cybersecurity, or information security.
• 5+ years leading risk/security teams in fintech, SaaS, or regulated environments.
• Experience building or scaling security programs in startup or high-growth organizations.
• Deep cloud security expertise (AWS required; multi-cloud a plus).
• Strong hands-on knowledge of:
• Zero-trust architecture
• Secure SDLC
• Threat modeling
• Vulnerability management
• Incident response
• Demonstrated ownership of SOC 2 and regulatory audits.
• Experience working with both:
• Regulated financial institutions (bank-side risk expectations)
• Fintechs or API-based SaaS platforms (data recipient expectations)

Preferred Experience/skills

• Experience in open banking / open finance ecosystems.
• Familiarity with FDX standards and OAuth/OIDC-based authentication models.
• Certifications such as CISSP, CISM, CRISC, or equivalent.
• Experience briefing executives or board-level stakeholders.

Akoya is an equal-opportunity employer.

This remote position is only available to individuals living in the greater Boston, MA, New York City, NY and Raleigh, NC areas. Candidates who do not live within these areas will not be considered for this role.

The Role:

We are looking for a curious, smart, and “learn it all” Architect with proven experience and a passion for designing transformative solution architectures for our prospects and customers. This high-impact role demands a unique blend of deep technical expertise and executive presence, requiring you to confidently present to C-level executives and translate their strategic goals into actionable technical plans.

You will work with technical teams at our prospects and customers to design architectures that drive enterprise modernization, leveraging techniques like capability mapping and exploring innovative solutions with Agentic AI. Your primary goal is to support our growing sales team in achieving revenue goals by unlocking technical blockers and partnering closely with our Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

You will be responsible for supporting engagements with new prospects as well as existing customers that look to expand their footprint. Measures of success include new customer acquisition rates, retention, up-selling, and contribution to overall sales team and business success.

The work you’ll do:

• Lead and define the overall architecture, data and cloud strategy for our largest client accounts
• Confidently engage with customers C level their strategic objectives with the Celonis technical strategy
• Drive innovation by identifying and architecting solutions that leverage emergent technologies, including Agentic AI.
• Be the bridge between our product & engineering teams within Celonis with the clients teams to provide the best technical services for our clients
• Assess our customer installed base IT landscape maturity for the region
• Participate in pre-Sales and post-Sales phases, engaging with customer Architecture and security teams
• Coach and guide Celonis consulting teams and ecosystem partners on technical implementation related issues (architecture, integration, performance and scalability)
• Develop re-usable assets for the consulting teams on projects
• Develop customer facing position papers, assets and thought leadership presentations on architecture and innovation with Celonis
• Creation of technical designs and presentations for internal and client stakeholders

The qualifications you need:

• 10 to 15 years of relevant experience (Software vendor Architect, Top consulting firms CTO or Enterprise Architect at a customer)
• Proven ability to think strategically, connecting technical solutions to business value and customer objectives.
• Strong background in Data Architecture, Integrations patterns, and Development background in data related languages (SQL, Python...)
• Excellent written and verbal communication skills
• Excellent presentation and creativity skills
• You can comfortably switch from explaining an architecture diagram to an environment where you coded/assembled a demo of the architecture
• Strong technical background with a focus on system integrations, data operations and automation capabilities
• Strong understanding of cloud native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM,ServiceNow, etc..), cybersecurity posture fundamentals, API ecosystems and legacy on-premise enterprise architectures
• Fluency in English, an additional language such as Spanish, French or Italian is a strong advantage 
• MSc degree in Computer Science or equivalent in Information Technology related field

Preferred:

• Celonis Certifications and Experience with OCPM and Case Centric Data Pipelines
• AWS/Azure/GCP Certifications
• ESB / ETL Certifications (Mulesoft,Oracle,SAP,Talend, Informatica, etc..)
• Experience in at least 2 domains among: Finance, Manufacturing, Supply Chain, Customer/Consumer Management (Service,Order Management, Sales),HR,Procurement.
• Experience in at least 2 industries among: Consumer Goods, Banking, Pharma, Aerospace,Telco, and Transport.

#LI-DB5

Available Locations: Charlotte OR Raleigh, North Carolina

*This is a work-from-home role, but you should reside in one of the regions.

What you’ll do as a Senior Solutions Engineer

The Pre-Sales Solution Engineering organization owns the technical sales of the Cloudflare solution portfolio, ensuring maximal business value, fit-for-purpose solution design and adoption roadmap for our customers. Solution Engineering is made up of individuals from a wide range of backgrounds including but not limited to Sales Consultants, Technical Consultants, Technical Support and Program Managers. 

You are a customer facing technologist within the Cloudflare Solutions Engineering team. You have experience in working in a pre-sales or other technical customer facing role supporting large enterprise accounts or acquiring new enterprise customers, as well as excellent verbal and written communication skills suited to explain the benefits of CloudFlare products and services to existing and potential customers. In this role you will be responsible for partnering with the sales team to understand customer requirements and provide sales support, prepare and deliver technical presentations and demos explaining the benefits of Cloudflare products to existing and potential customers, and run proof of concept trials for customers.

Specifically, we are looking for you to:

• Identify and map customer initiatives and business problems to Cloudflare solutions
• Build relationships and technical champions within customer accounts
• Develop and present customer presentations at every Enterprise Customer’s organization level
• Lead demo and proof-of-concept activities for Cloudflare prospects and customers
• Demonstrate your expertise of Cloudflare with your peers  through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices

Basic Requirements

• Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
• Solid communication, written and presentation skills
• Ability to work on several projects and activities concurrently
• Highly driven individuals that are curious, team players and work with a sense of urgency
• Bachelor’s Degree or equivalent in relevant work experience
• The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates

Examples of one or more desirable skills, knowledge and experience

• Fundamental understanding of customer network and/or application architectures. 
• Detailed understanding of workflow from user to application including hybrid architectures with Azure, AWS, GCP.
• Understanding, knowledge or experience of application and/or network security 
• Understanding, knowledge or experiences with SaaS application environments
• Understanding, knowledge or experience with VPN and remote access challenges
• Understanding, knowledge or experience with SIEM and log analytics platforms 
• Client OS fundamentals and software distribution

Other desirable skills areas include:

• Experience interacting with senior level/executives to communicate a message of network and security transformation
• Routing, subnetting, split tunnels. SD-WAN, local internet breakout
• End user and application security risks - DDoS, malware, phishing, viruses
• Knowledge of competitive market around CDN providers and internet security technologies

Bonus Points

• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Certifications: Azure/AWS/GCP Architect, etc.

More About You

• You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in enterprise organizations.
• You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions.
• You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever-growing, and knowing how to identify which parts will solve a customer's particular problem is important.
• You understand how to manage a project, work to deadlines, and prioritize between competing demands.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth is seeking a Director of AI Strategic Partnerships & Data Licensing to lead our entry into the Generative AI and Large Language Model (LLM) ecosystem. Reporting directly to the Chief Strategy Officer (CSO), this is a high-impact, "frontier" role responsible for establishing Bandwidth as the essential voice layer for the world’s most sophisticated AI companies.

Unlike a traditional sales role, your success will be measured by the breadth and depth of formalized partnerships you secure with major AI players. You will be the bridge between Bandwidth’s global network and the next generation of AI-driven voice applications, while simultaneously architecting our first-ever voice data licensing program.

What You'll Do:

• Market Evangelism: Identify and penetrate "Big AI" accounts (OpenAI, Anthropic, Google, Meta, etc.) and emerging innovators in the Real-time Voice/LLM space to position Bandwidth as the premier platform for high-scale, low-latency voice integration.
• Data Strategy & Licensing: Design and execute the framework for licensing Bandwidth’s unique voice data assets for AI training, ensuring compliance, ethical standards, and high commercial value.
• Strategic Relationship Management: Navigate complex organizational structures to build "at-level" partnerships with C-suite executives, Product Leads, and Head of Research counterparts.
• Product-Market Feedback Loop: Act as the "voice of the AI customer" internally. Gather technical requirements and friction points to collaborate with Product and Engineering teams on rapid iterations of our AI feature set.
• Ecosystem Mapping: Stay at the bleeding edge of AI trends (Text-to-Speech, Speech-to-Text, and Real-time Voice) to identify new areas where Bandwidth can create "moats."
• Market Making: Define the "Voice for AI" category for Bandwidth. This includes creating partnership structures that prioritize technical integration and long-term ecosystem alignment over short-term transaction volume.

KPIs in this role include:

• Primary: Number of formalized partnerships and technical integrations secured with Tier-1 and Tier-2 AI players.
• Secondary: Revenue generated through data licensing and platform usage.
• Strategic: Quality of product feedback loops and successful internal iteration on AI-specific features.

Working Conditions:

• Works in a normal office environment with occasional travel required.
• Location Agnostic: Open to remote candidates, however relatively frequent travel to Bandwidth HQ in Raleigh will be required as well as the ability to work effectively in a distributed environment, maintaining high visibility with the CSO and internal product teams regardless of time zone.

What You Need:

• Education:
  • Bachelor degree
• Experience: 
  • 10+ years in Business Development, Strategic Partnerships, or Product Management within the SaaS, Cloud Infrastructure, or AI sectors.
  • Experience at a "frontier" tech company or within a high-growth AI/SaaS environment is critical.
• Knowledge: 
  • A deep, intuitive understanding of the AI stack, including how LLMs use data and the requirements for real-time voice synthesis/recognition.
• Skills: 
  • The "Founding" Mindset: Proven track record of taking a "zero-to-one" product or vertical to market. You must be comfortable with ambiguity and building your own playbook.
  • Relationship Excellence: Demonstrated ability to open doors at Tier-1 tech companies and negotiate complex, multi-million dollar contracts that involve both technical and legal stakeholders.
  • AI Technical Fluency: A deep understanding of how AI engines are built, how they consume data, and the specific infrastructure requirements (latency, throughput, reliability) for voice-driven AI.
  • Partnership Savvy: A track record of closing complex, multi-faceted partnerships where "success" was defined by strategic alignment and technical integration rather than just raw revenue.
  • Communication: Exceptional ability to translate between deeply technical engineering requirements and high-level business strategy.
• Autonomy: As a remote-capable role reporting to the CSO, you must be a self-starter who can maintain high visibility and drive results without a local team.

Bonus Points:

• Education: 
  • MBA, technical degree or both (Computer Science, Data Science, or Electrical Engineering) is highly preferred.

• Knowledge: 

  • Data Privacy Expertise: Familiarity with the legalities of data scraping, consent, and licensing (GDPR, CCPA) specifically regarding audio/voice data.
  • An existing network of contacts within the Silicon Valley AI ecosystem or the hyperscaler (AWS/Azure/GCP) AI divisions.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Position Summary

At the heart of our Cloud team is a mission to build a secure, scalable, and high-performance platform that powers our cybersecurity products. As a Senior Software Engineer, Cloud, you will own the design, delivery, and operation of critical cloud services, driving architectural decisions and ensuring systems meet the highest standards of reliability, security, and scalability.

This role goes beyond implementation. You will lead complex technical initiatives end-to-end, influence system design across teams, and set the standard for engineering excellence within the cloud domain. You’ll partner closely with engineering, security, and product teams to solve deeply technical challenges and evolve our cloud platform to meet the demands of a rapidly growing business.

Key Responsibilities

• Own the architecture, development, and operation of scalable, secure, and fault-tolerant cloud services, with accountability for performance and reliability in production.
• Drive technical design and architectural decisions for distributed systems, influencing patterns, standards, and long-term platform evolution.
• Lead complex initiatives end-to-end, from design through deployment and ongoing optimization, ensuring alignment with business and technical priorities.
• Build and scale cloud infrastructure using infrastructure-as-code (Terraform, Helm) and container orchestration (Kubernetes), improving system resilience and efficiency.
• Advance cloud security and compliance practices, embedding secure design principles, IAM controls, and encryption into all layers of the platform.
• Improve system observability and operational excellence, implementing robust monitoring, alerting, and incident response strategies.
• Drive DevOps maturity, optimizing CI/CD pipelines and deployment strategies to support rapid, reliable delivery.
• Collaborate cross-functionally with engineering, product, and security teams to define solutions and resolve complex system-level challenges.
• Mentor and guide engineers, providing technical direction, code reviews, and support for skill development while raising the bar for engineering quality.
• Continuously evaluate and adopt new technologies, making pragmatic decisions that improve system performance, scalability, and developer productivity.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 6–8+ years of software engineering experience, with significant focus on cloud infrastructure and distributed systems.
• Proven ability to independently design, build, and operate production-grade systems at scale.
• Strong proficiency in Go, Python, or similar languages, with experience building distributed services.
• Deep expertise in Kubernetes and infrastructure-as-code (Terraform, Helm).
• Strong experience with AWS services (EKS, EC2, RDS, S3, SQS, IAM), including designing and operating systems in production.
• Demonstrated ownership of systems, including on-call, incident response, and long-term reliability improvements.
• Strong problem-solving skills and the ability to navigate ambiguous, complex technical challenges.
• Effective communication skills with the ability to influence technical decisions across teams.
• Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder) or lawfully admitted into the U.S. as a refugee or granted asylum.

Preferred Qualifications

• Expertise in cloud security best practices, including identity, encryption, and compliance frameworks.
• Experience designing and scaling high-availability distributed systems with automated failover and self-healing capabilities.
• Strong knowledge of observability tooling (Prometheus, Grafana, ELK).
• Experience with event-driven architectures and microservices.
• Familiarity with HashiCorp ecosystem tools (Vault, Consul, Packer).
• Experience contributing to or defining engineering standards, patterns, or platform strategy.

The salary range for this role is $150,000 - $180,000 + bonus + benefits. 

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

As a MuleSoft Architect, you won't be handed a ticket queue or a seat at someone else's table. You'll own the integration platform for our clients — end-to-end. That means standing up a production-ready API-led foundation, running an AI-first delivery program, and building the kind of trusted client partnerships that turn a single engagement into a long-term relationship. You set the architectural direction. The rest of the team follows your lead.

Location: Remote (US). Raleigh–Durham is a plus, not required.

Eligibility: Must live in the US and be authorized to work in the US; no sponsorship.

What You'll Own

You are the technical decision-maker for your client engagements — not a consultant waiting for sign-off.

• Integration Platform Ownership: Design the target-state API-led architecture (system/process/experience layers), define NFRs, govern standards, and publish reusable templates that teams actually use — not just reference.
• AI-First Program Leadership: Build the AI playbook. Create prompt and snippet libraries that accelerate design, mapping, and testing. Measure the before/after. Coach your team to adopt. Don't theorize — demonstrate.
• Delivery Accountability: Own milestones, scope, and LOE. Keep estimate variance ≤ ±15%. Communicate risks before anyone has to ask. Exec-ready updates go out weekly, without prompting.
• Presales Partnership: Lead discovery, shape solution architecture, and co-author SOWs with clear assumptions. You are the technical voice in the room — and you know how to make architecture land as a value narrative, not a tech briefing.
• Autonomous Execution: You track your own commitments. You surface risks before they surface you. If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Key Responsibilities

Architecture & Platform

• Design API-led target state (system/process/experience), NFRs, and governance.
• Stand up CloudHub 2.0/RTF environments, networking, secrets, and promotion paths.
• Publish templates, policies, and error strategies in Exchange that set the delivery bar — and that teams actually use.

AI Program & Enablement

• Author a practical AI playbook + prompt/snippet library to accelerate design, mapping, and testing — safely.
• Measure cycle-time and quality deltas before and after. Show the gains. Coach adoption.

Delivery & Reliability

• Guide CI/CD strategy, config per environment, and zero-downtime/rollback patterns.
• Define SLOs, alerts, and dashboards. Build integrations that hit latency and accuracy targets.

Presales & Stakeholders

• Own discovery, solution architecture, and LOE/SOW development with clear assumptions.
• Translate architecture trade-offs into exec-ready options. Build presales assets that accelerate the next deal.

Documentation & Communication

• Write ADRs, API docs, and runbooks that make decisions legible and repeatable.
• Direct, no-fluff communication — always. If you can say it in three sentences, don't use ten.

Required Qualifications

• Architecture Experience (Required): 1+ year in a formal MuleSoft Architect role owning target state, decisions, and trade-offs — not just senior development duties.
• API & Integration Architecture: Expert-level API-led design on Mule 4/Anypoint with clean system/process/experience boundaries.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• MuleSoft Platform Mastery: DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, Anypoint MQ; Exchange-driven reuse and policy governance.
• DevOps, CI/CD & IaC: Azure DevOps, GitHub Actions, Jenkins, Maven, Terraform; env promotion to CH2.0/RTF; blue/green + rollback strategies.
• Security & Standards: RAML/OAS, OAuth2/OIDC, JWT, mTLS/TLS, secrets, encryption — policy bundles baked into delivery, not bolted on after.
• Observability & SLOs: Anypoint Monitoring, Datadog, or Splunk; error budgets and actionable alerts.
• Cloud & Networking: AWS/Azure VPC/VPN, private spaces, NAT/DNS/certs; cost and performance trade-offs you can defend.
• Client-Facing Consulting Experience: You've worked at a consultancy or SI with direct client ownership. You run discovery, align stakeholders from exec to dev, contribute to LOE/SOW, and keep estimate variance ≤ ±15%. Internal IT delivery doesn't substitute.
• MuleSoft Certifications: MuleSoft Certified Platform Architect and/or MuleSoft Certified Integration Architect required.

Preferred / Bonus

• Experience leading presales end-to-end — discovery through signed SOW.
• Hands-on AI acceleration work with documented before/after delivery gains.
• Security and governance depth: policy-as-code, OAuth2/OIDC, mTLS, auditable standards teams actually follow.

Transform Your Career — the AI-First Way

At Green Irony, you…

• Take full ownership of your engagements — client, scope, delivery, and outcome.
• Relentlessly pursue measurable business value, not ticket throughput.
• Solve complex problems with practical, innovative solutions.
• Communicate directly, transparently, and with positive intent — clarity over politics.
• Grow continuously — mentoring, learning, and automating to expand your impact.

Benefits Snapshot

• Competitive salary + performance bonus
• Medical, dental, and vision coverage
• 401(k) with generous company match
• Flexible PTO and remote-first work environment
• Annual professional development budget (certifications, conferences, AI tools)
• Equipment stipend

Equal Opportunity, Zero BS

Green Irony is an equal opportunity employer committed to building an inclusive team where diverse voices drive better outcomes.

We evaluate all qualified applicants without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, veteran status, disability, or any other protected classification — because the only bias we tolerate is toward delivering excellent work.

As a Senior MuleSoft Engineer, you will design and deliver API-led integration solutions on Anypoint Platform — directly with clients, from discovery through go-live. You'll drive architecture decisions, protect margin through scope discipline, and build the kind of trusted client relationships that turn one engagement into many.

What You'll Own

You will be the technical owner of your client engagements — not a resource assigned to a ticket queue. That means:

• Client Delivery Ownership: Lead integration programs end-to-end for external clients — from discovery and estimation through SOW shaping, stakeholder alignment, and delivery KPIs (on-time, on-budget, CSAT).
• Stakeholder Management (exec → dev): Navigate the full relationship stack. Translate architecture trade-offs to executives, earn trust with engineering teams, and keep both sides aligned throughout delivery.
• Scope Discipline: Anticipate risk early, communicate trade-offs clearly, and protect margin through change-order discipline — without damaging the relationship.
• Autonomous Execution: Own your calendar, your estimates, and your commitments. No one will chase you for updates. You surface risks before they surface you.

Key Responsibilities

Technical Delivery

• Lead technical design, implementation, and deployment of large-scale MuleSoft integration and API solutions (CloudHub 2.0, Runtime Fabric, Anypoint MQ, Flex Gateway, or on-prem).
• Develop and maintain DataWeave scripts, Mule flows, and CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins).
• Enforce architectural and security standards (RAML/OAS, OAuth2, JWT, TLS, encryption).
• Monitor and optimize integrations for performance, scalability, and maintainability.

Client-Facing Services Delivery

• Lead discovery sessions, shape estimates, and contribute to SOW development — you are the technical voice in the room with the client.
• Own delivery KPIs: on-time rate ≥90%, estimate variance ≤±15%, client satisfaction scores that earn repeat business.
• Proactively communicate status, risks, and decisions — updates go out without being asked.
• Build trusted relationships that make scope conversations easier, not harder.
• When scope creeps (and it will), you call it — with a path forward, not just a flag.

Leadership & Collaboration

• Provide coaching and technical guidance to engineers; lead code reviews and process improvements.
• Operate as a peer, not a manager — lift standards through quality of work and direct feedback.

Innovation & AI

• AI as Your Default Toolchain: You reach for your AI-enabled IDE, LLM-based assistants, and AI-powered static analysis before anything else — not as a shortcut, but because better tools produce better outcomes. You don't write code you can automate reviewing.
• Integration Workflows, Augmented: You actively prototype and deploy AI/LLM services inside integration solutions — summarization, document parsing, intelligent transformation, synthetic test data generation.
• Advance automation with AI-assisted code review and LLM-based development platforms to accelerate delivery and lift code quality across the team.

Ways of Working

• The best engineers here don't wait to be told what to do next. They already know. You set direction, track your own commitments, and communicate proactively — without a layer between you and the client.
• WIP stays at ≤2 concurrent workstreams. You know what's at risk before your teammates do.
• If you've always been three steps ahead of your own deadlines, you'll feel right at home.

Required Qualifications

• Consulting Services Experience: 3–5+ years delivering integration programs for external clients — leading discovery/estimation, shaping SOWs, managing stakeholders from exec to dev, and owning delivery KPIs. This is non-negotiable. Internal IT delivery experience does not substitute.
• Client-Facing Ownership: Proven track record of managing client relationships through the full engagement lifecycle — including difficult scope and change-order conversations that preserve both trust and margin.
• API & Microservices Architecture: Expert in designing, implementing, and maintaining distributed, scalable API-led solutions using MuleSoft and industry-standard patterns.
• MuleSoft Platform Mastery: Advanced hands-on with Anypoint Platform, including DataWeave 2.x, CloudHub 2.0, Runtime Fabric, Flex Gateway, and Anypoint MQ.
• Autonomous Execution: Demonstrated ability to self-govern in flat, PM-free consulting environments — independently scoping, prioritizing, and delivering without hand-holding. If you've only worked in highly structured orgs, be honest with yourself about this one.
• AI/LLM Tools & Automation: You don't just tolerate AI tools — you seek them out. Cursor, LLM-based assistants, AI-powered static analysis — these are in your daily rotation, not your LinkedIn bio.
• DevOps, CI/CD & Automation: Strong experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins), containerization (Docker/Kubernetes), and cloud-native deployment strategies.
• Security & Integration Standards: Advanced knowledge of RAML/OAS, OAuth2, JWT, TLS, and encryption best practices.
• Programming Proficiency: Skilled in Java and Node.js, with the ability to refactor legacy codebases into clean, maintainable solutions.
• MuleSoft Certifications: MuleSoft Certified Developer – Level 1 required; Architect or Integration Professional certifications strongly preferred.

Preferred/Bonus

• Experience integrating Salesforce, AWS, or other SaaS/ERP platforms.
• Familiarity with event-driven architectures (Kafka, Pub/Sub).
• Hands-on experience or strong interest in AI/ML pipeline design or integration.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

Bandwidth's Research & Development (R&D) team is at the forefront of exploring and harnessing transformative technologies to define the next generation of communication experiences. We operate as a small, agile, and T-shaped group, diving deep into emerging areas like Artificial Intelligence and Machine Learning. We're seeking a highly motivated AI/ML Engineer to join this dynamic team in our Raleigh, NC headquarters.

You thrive in a collaborative, fast-paced environment where you can rapidly iterate on ideas and prototypes. You have a startup mentality, comfortable with ambiguity and driven by a relentless curiosity to explore, build, and learn. If you're passionate about applying cutting-edge AI/ML, especially Large Language Models (LLMs), to solve real-world problems and shape future products, this is the role for you. This position requires working full-time from our Raleigh office.

What You'll Do:

• Dive deep into the latest AI/ML research, particularly in the LLM space, identifying opportunities relevant to Bandwidth's domain.
• Design, build, and test proof-of-concepts and prototypes for novel AI-powered features and services.
• Implement and integrate AI/ML models, including those based on LLMs, into potential future Bandwidth offerings.
• Collaborate intensely within a small, cross-functional R&D team, sharing knowledge and contributing to a T-shaped skill set.
• Experiment with various AI techniques, including advanced prompting strategies, Retrieval-Augmented Generation (RAG), and potentially agentic systems.
• Stay constantly updated on the rapidly evolving AI landscape, evaluating new tools, models, and methodologies.
• Leverage LLM-powered IDEs and development tools (like GitHub Copilot, Cursor, etc.) to accelerate the innovation cycle.
• Clearly articulate and present research findings, experiment results, and prototype demonstrations to technical and non-technical stakeholders.

What You Need:

• Bachelor’s degree in Computer Science, AI, ML, or a related technical field, or equivalent practical experience.
• Demonstrable expertise and hands-on experience in Artificial Intelligence and Machine Learning, with deep knowledge in at least one specific AI domain (e.g., NLP, LLMs, Speech Recognition).
• Proven experience (typically 3+ years) designing, building, and evaluating AI/ML models and systems.
• Strong programming skills, particularly in Python and familiarity with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, scikit-learn, Hugging Face).
• Solid understanding and practical experience with Large Language Models (LLMs) and associated concepts, including Retrieval-Augmented Generation (RAG) and various prompting techniques (e.g., Zero-shot, Few-shot, Chain of Thought).
• Experience implementing services or applications built on top of foundational LLMs (via APIs or open-source models).
• Proven ability to thrive in a small, highly collaborative team environment with an urgent, results-oriented culture. Significant experience in startups or similar fast-moving, resource-constrained organizations is highly desirable.
• A relentless curiosity and passion for exploring new technologies and techniques in the AI/ML space.
• Experience using LLM-powered IDEs or coding assistants.
• Excellent problem-solving skills and the ability to navigate ambiguity.
• Must be able to work full-time from the Bandwidth headquarters in Raleigh, NC.

Bonus Points:

• Master’s degree or PhD in Computer Science, AI, ML, or a related field.
• Experience with LLM training, fine-tuning (e.g., LoRa), and/or developing custom evaluation benchmarks.
• Familiarity with advanced AI architectures and concepts such as agentic systems (e.g., ReAct), multi-modal models, Mixture of Experts (MoE), or LLM tooling/external capabilities.
• Experience with MLOps practices and cloud-based ML platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Familiarity with AI Developer and Agentic Frameworks (e.g., OpenAI, LangChain, CrewAI, Autogen)
• Experience contributing to AI/ML research, publications, or open-source projects.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Who We Are:

At Bandwidth, your music matters when you are part of the BAND.  We celebrate differences and encourage BANDmates to be their authentic selves.  #jointheband

What We Are Looking For:

A Sr. Data Scientist serves as a technical authority and strategic leader within the Data Science team, driving the highest-impact data science initiatives across Bandwidth. They own and lead complex, ambiguous end-to-end data science projects, from opportunity identification and problem framing through model deployment and business adoption, ensuring measurable impact on revenue, efficiency, and competitive differentiation. They act as a force multiplier by setting technical standards, shaping data science strategy, and elevating the capabilities of the broader team through mentorship, code review, and thought leadership. They also partner with senior executives, product leadership, and cross-functional teams to embed data-driven decision-making into Bandwidth's core business processes and long-term strategy.

What You'll Do:

• Drive end-to-end ownership of high-complexity, high-visibility data science projects, independently navigating ambiguity from problem definition through production deployment and business impact measurement.
• Architect and implement advanced machine learning systems, including supervised and unsupervised learning, deep learning, ensemble methods, and large-scale optimization, applying rigorous evaluation to ensure production-grade reliability and performance.
• Define and champion best practices for model development, validation, deployment, and monitoring; establish technical standards that elevate quality and consistency across the team.
• Translate ambiguous, strategic business challenges into well-scoped data science problems; lead discovery processes with senior stakeholders to align on objectives, constraints, and success criteria.
• Deliver executive-level data-driven narratives that communicate the strategic value of data science, influencing senior leadership and cross-functional decision-makers to drive resource allocation and organizational alignment.
• Serve as a technical lead and primary mentor for intermediate and junior data scientists, conducting code reviews, establishing growth plans, and fostering a high-performance team culture.
• Proactively identify emerging opportunities to apply new techniques, including cutting-edge research, novel architectures, and industry-leading tools to advance Bandwidth's competitive position.
• Partner with data engineering, software development, and platform teams to design scalable data and AI infrastructure that enables reliable, high-throughput machine learning workflows at enterprise scale.
• Oversee model performance, data quality, and system health in production environments; lead root-cause analysis and implement robust solutions for drift detection, retraining, and performance degradation.
• Lead the design and implementation of CI/CD pipelines for AI projects, enabling rapid iteration, reproducibility, and safe deployment practices.
• Represent the Data Science function in cross-departmental working groups, product planning sessions, and strategic initiatives requiring deep analytical expertise.

What You Need:

• Education:  
  • Bachelor's degree in Mathematics, Statistics, Computer Science; graduate degree in Data Science or other quantitative field is preferred.
• Experience: 
  • 7+ years of directly related data science experience, with a demonstrated record of independently delivering impactful, production-grade ML/AI solutions; or a graduate degree plus 5+ years of equivalent experience.
  • Prior experience in a technical lead or informal management capacity is strongly preferred.
• Skills:
  • Expert-level proficiency in Python, with deep knowledge of the data science and ML ecosystem including pandas, NumPy, scikit-learn, TensorFlow, PyTorch, and MLflow or equivalent MLOps tooling.
  • Advanced mastery of statistical inference, experimental design, and machine learning, including hypothesis testing, causal inference, regression, classification, clustering, deep learning architectures, and model evaluation at scale.
  • Expert knowledge of data structures, SQL, and distributed data processing frameworks (e.g., Spark, BigQuery, Snowflake); strong familiarity with REST APIs and cloud-based ML platforms (AWS, GCP, or Azure).
  • Demonstrated ability to independently define, scope, and deliver solutions to ambiguous, high-stakes business problems through data mining, analytics, statistical modeling, and predictive systems.
  • Exceptional communication and executive presence; proven ability to convey complex technical concepts and strategic insights to product leadership and non-technical audiences in a compelling, business-focused manner.
  • Strong leadership and organizational skills with a track record of mentoring teams, driving cross-functional alignment, and managing multiple high-priority initiatives in a fast-paced environment.
  • Proven ability to influence without formal authority, building consensus and driving adoption of ML/AI solutions across diverse stakeholders.

Bonus Points:

• Familiarity with big data technologies such as Kafka, Flink, Hadoop, Spark, or distributed computing frameworks for processing and analyzing large-scale datasets efficiently.
• Experience with MLOps tooling and production ML system design, including feature stores, model registries, and monitoring frameworks.
• Experience in telecommunications, SaaS, or communications technology industries.

The Whole Person Promise:

At Bandwidth, we’re pretty proud of our corporate culture, which is rooted in our “Whole Person Promise.” We promise all employees that they can have meaningful work AND a full life, and we provide a work environment geared toward enriching your body, mind, and spirit. How do we do that? Well…

• 100% company-paid Medical, Vision, & Dental coverage for you and your family with low deductibles and low out-of-pocket expenses.
• All new hires receive four weeks of PTO.
• PTO Embargo. When you take time off (of any kind!) you’re embargoed from working. Bandmates and managers are not allowed to interrupt your PTO – not even with email.
• Additional PTO can be earned throughout the year through volunteer hours and Bandwidth challenges.
• “Mahalo moments” program grants additional time off for life’s most important moments like graduations, buying a first home, getting married, wedding anniversaries (every five years), and the birth of a grandchild.
• 90-Minute Workout Lunches and unlimited meetings with our very own nutritionist.

Relay is transforming the physical world into a searchable, actionable data asset. We’ve moved beyond "Big Radio's" analog past to build the Relay SOAR™ Platform, which treats voice and movement as the new keyboards of the enterprise. By capturing the "Human Signal," we enable frontline teams in hospitality, manufacturing, and healthcare to move from reactive chaos to proactive control.

Ranked among the fastest-growing tech companies in North America, we are looking for the next generation of "Relayers" to help us digitize the final frontier of the workforce.

Why Start Your Career at Relay?

• Work at the Edge of Innovation: We just secured our 100th patent. You’ll work with technologies spanning AI-driven noise suppression, real-time language translation, and advanced IoT connectivity.
• Massive Scale: Be part of a platform that processes over 1 billion data points every week. Our tech isn't just "cool"—it’s essential infrastructure for the global economy.
• LIT Culture (Learning, Impact, Teamwork): We pride ourselves on an environment where early-career professionals have a seat at the table and see their work impact global brands immediately.
• Hyper-Growth Trajectory: With 461% growth and new C-suite leaders who have led successful IPOs, you are joining a rocket ship at the perfect time.
• Best-in-Class Perks: Based in our high-tech Raleigh headquarters, you’ll enjoy 100% company-paid benefits, a 401(k) match, and a hybrid work model that balances flexibility with high-energy collaboration.

Ready to help us build the Intelligent System of Action? 

Here at Relay, our technology stack solves complex problems. We use a diverse set of languages, including Erlang, Java, C, C++, JavaScript, and occasional Python scripts. We are agile in our responsiveness to user and business needs, not for the sake of adhering to agile orthodoxy, but being pragmatic.

We are looking for an intellectually curious engineer to join our team as we scale. We bias towards action, while maintaining the balance between speed and technical debt. We are not afraid to take on big challenges, but we strive for the simplest solution. Quality is a constant focus. We operate what we build and hold ourselves accountable for the code we write. As a startup, we use nimble and lean teams, and you’ll make meaningful contributions to the product very quickly! There are lots of opportunities to learn new things, and we are constantly delivering to customers. Scale is a key focus for our team. As we see continued growth, team members are expected to think about and improve the scalability of all aspects of the product. You’ll focus on new product development of our communication platform. The platform consists of the following components, each with its own team. There are opportunities to move across teams.

Responsibilities:

• Collaborate with cross-functional teams to identify business challenges and opportunities that can benefit from machine learning solutions. Conduct research and stay updated on the latest advancements in machine learning to recommend and implement appropriate approaches.
• Design, build, and fine-tune machine learning models, algorithms, and statistical analysis to solve complex business problems. Utilize various techniques such as supervised, unsupervised, and deep learning to ensure optimal model performance.
• Prepare and preprocess large-scale datasets to extract relevant features and improve model training efficiency and accuracy. Implement data cleaning, feature engineering, and data augmentation techniques.
• Conduct rigorous evaluation and testing of machine learning models to assess their effectiveness and robustness. Optimize model parameters and hyperparameters to achieve optimal performance and generalization.
• Collaborate with the software engineering team to integrate machine learning models into the production environment. Ensure scalability, reliability, and efficiency of deployed models.
• Establish mechanisms for monitoring the performance of deployed models and identifying potential issues. Proactively maintain and update models as necessary to adapt to changing data and business requirements.
• Ensure compliance with data privacy regulations and implement security measures to protect sensitive information.
• Maintain comprehensive documentation of model development, methodologies, and results to facilitate knowledge sharing and continuous improvement.
• Collaborate with cross-functional teams, including product managers, data scientists, and software engineers, to define requirements and support product development with your machine learning expertise.

Experience, qualifications, and skills (what you’ll have):

• Bachelor's or Master's degree in Computer Science or a related field
• Strong theoretical and practical understanding of core Machine Learning and Deep Learning concepts (e.g., architectures, optimization/training, evaluation)
• 1+ years of development experience in Python and a modern machine learning framework such as PyTorch or JAX (including experience in coursework/research / internships)
• Experience using the Linux tool chain
• Understanding of typical web API protocols and transports (e.g., HTTP, Websockets, SSE)
• Experience with managing 24/7 Linux systems, cloud hosting providers (AWS), infrastructure-as-code concepts (Terraform, Ansible, etc), distributed systems, observability tools (OpenSearch, Grafana)
• Desired, but not required, is experience with advanced LLM topics: such as LoRA and quantization, functional programming: such as Erlang and Elixir, systems programming: such as Rust and C++, distributed systems, and key-value databases.

About us: Relay culture, benefits & perks:

First and foremost, our culture hinges on Relayers getting LIT up in an environment that fosters learning, impact, and teamwork (LIT) where we can do the best work in our lives. We call this BWIML (pronounced bee wimmel = Best Work In My Life)!

It's truly amazing what engaged team members can achieve together. Our ever-evolving list of benefits and perks means you'll be able to integrate work into your whole life, focus on health, perform impactful work, grow and learn in your role, look after yourself/your family, and invest in your future. 

At Relay, we offer...

• 100% Paid Insurance Health, Dental, Vision, Long/Short Term Disability, and Life Insurance benefits for you and those who depend on you
• Generous Paid Time Off
• 401(K) Savings Plan + Company Match
• Baby Cash Reward + Paid Parental Leave
• Wellness Perks, including a world-class onsite fitness center with instructor-led classes + locker room, as well as endless outdoor amenities, whether tennis, basketball, cycling, or pickleball is your jam
• Free Snacks and Fun Times
• Latest tech, standing desks, and all the accessories and software you need to succeed in your role

The Relay Hybrid Work Model

At Relay, relationships are at the core of everything we do - and this translates to how we approach our customers and our work internally. Relay strives to be a long-term relational partners versus a transactional vendor to our customers. You will be encouraged to get in front of our customers and/or attend a trade show as a Relayer, regardless of your role. 

Internally, Relayers strive to build authentic, caring, and trusted relationships with one another.

With these principles in mind, and because we believe relationships are formed more quickly and deeply in person, we greatly value the power of collaborating with our customers on-site at their properties, and with each other in our spectacular and amenity-rich office.

Our relational approach is also at the heart of why we ask all Relayers in our hybrid model to work from the office a minimum of 3 days per week on Mondays, Wednesdays, and Fridays. During your onboarding you should expect to be in the office daily in order to build relationships and your knowledge base as you ramp into the organization!

Underpinning all of this is the core principle of flexibility.  If it’s best for your mission, a given week to work remotely more often, we encourage our team members to maintain open lines of communication with their managers and find a solution that supports those needs in a given timeframe/season. 

The Role:

We are looking for a visionary and strategic Field CTO with a "learn-it-all" mindset to serve as a high-impact technical advisor for our most strategic prospects and customers. In this role, you will act as a peer to client executives, translating complex business transformations into scalable technical strategies. You will drive innovation by championing Process Intelligence ,Agentic AI and Enterprise Modernization, ensuring our technology aligns with the evolving needs of the global market.

The work you’ll do:

• Executive Advisory: Serve as a trusted advisor to C-level executives, aligning their long-term strategic goals with the Celonis technical vision.
• Strategic Architecture & Roadmap: Lead the overarching data, cloud, and innovation strategy for our largest global accounts, utilizing methodologies like Capability Mapping to identify high-value opportunities.
• Innovation Leadership: Architect "first-of-a-kind" solutions using emergent technologies like Agentic AI to solve complex enterprise challenges.
• Sales & Business Impact: Partner with Sales and Value Engineering driving revenue through new customer acquisition and strategic up-selling.
• Product Advocacy: Act as a critical feedback loop between our Product & Engineering teams and the market, ensuring the voice of the customer shapes our future offerings.
• Thought Leadership: Develop and deliver customer-facing position papers, assets, and presentations that establish our brand as a leader in architecture and innovation.

The qualifications you need:

• Experience: 15 to 20 years of relevant experience, ideally having served as a CTO at a consulting firm, as Field CTO at a software vendor, or Director/VP of Enterprise Architecture within a major corporation.
• Strategic Communication: Proven track record of presenting complex technical visions to C-suite stakeholders in a way that emphasizes business value.
• Modernization Expertise: Deep experience in Enterprise Modernization, EA Methodologies, and a robust understanding of Agentic AI.
• Technical Versatility: Ability to pivot from high-level architecture diagrams to hands-on demo.
• Technical Foundation: Excellent background in Data Architecture, API ecosystems, and cloud-native SaaS solutions like Salesforce and ServiceNow. 
• ERP/Domain: Strong knowledge of at least one ERP SAP or Oracle or in alternative strong domain expertise in high regulated industries like Financial Services.
• Education: MSc degree in Computer Science or an equivalent IT-related field.

Preferred:

• Tech Stack: Celonis, OCPM and Case Centric Data Pipelines.
• Certifications: TOGAF/Zachmann , AWS/Azure/GCP , and ESB/ETL certifications (e.g., Mulesoft, Informatica).
• Industry Breadth: Experience across at least two domains (e.g., Finance, Supply Chain) and two industries (e.g., Pharma, Banking, Aerospace)

Visa sponsorship is not offered for this role.

#LI-DB5