MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. We are a modern IoT-enabled cloud-based tool for reliability, safety, and operations on physical equipment and facilities. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell.

We recently completed a $150 million Series D funding round, bringing our total funding to $254 million and valuing the company at $2.5 billion.

As the AI GTM Engineer, Growth Marketing, you’ll build and scale the technical foundation behind MaintainX’s acquisition engine. Reporting to the VP, Growth Marketing & Strategy, this is a hands-on, embedded role within the Growth Marketing team, where you will partner directly with marketers to design, build, and launch campaigns powered by automation and AI. You won’t operate as a separate engineering function, you’ll work side-by-side with Customer Marketing, Performance Marketing, SEO & GEO, Lifecycle, and Field Marketing teams to turn campaign ideas into scalable systems and live experiments. This role is critical to building an AI-native, system-driven marketing engine at MaintainX, enabling us to scale acquisition through automation, personalization, and experimentation.

What you'll do:

• Partner with Marketing to Build & Launch Campaigns
• Work directly with Growth marketers to ideate, design, and launch acquisition campaigns
• Translate campaign ideas into scalable systems, automations, and experiments
• Rapidly prototype and iterate on new growth plays (landing pages, outbound, paid, lifecycle)
• Build Systems That Power Campaign Execution
• Develop tooling for programmatic landing pages, ad creative generation, and email workflows
• Enable marketers to launch campaigns faster through reusable systems and automation
• Balance speed (quick tests) with scalability (systems that can be reused)
• Embed AI into Marketing Workflows
• Partner with marketers to identify high-leverage use cases for AI in campaigns
• Build and deploy AI-driven systems for:
• Creative generation and testing
• Personalization across channels
• Outbound messaging and sequencing
• Turn one-off experiments into repeatable campaign infrastructure
• Own Experimentation with Marketing
• Co-design and implement experiments across paid, SEO, lifecycle, and web
• Build tooling to track performance, attribution, and testing outcomes
• Enable faster, data-driven iteration across campaigns

Audience, Segmentation & Personalization

• Partner with marketers to define target audiences and ICP segments
• Build systems to dynamically segment, enrich, and activate audiences across channels
• Enable real-time personalization across the funnel

• Marketing Data & Performance
• Ensure clean data flows from marketing channels into CRM and analytics systems
• Build dashboards and reporting layers for campaign performance and funnel metrics
• Improve visibility into CAC, conversion rates, and pipeline generation 

What you’ll bring:

Technical Skills

• Strong programming ability (Python, JavaScript, or similar)
• Experience working with APIs, automation frameworks, and event-driven systems
• Strong SQL skills and experience with data warehouses (Snowflake, BigQuery, etc.)
• Experience integrating tools like Salesforce, HubSpot, Segment, Webflow, etc.
• Experience deploying AI/LLM workflows into production
• Marketing Systems Experience
• Experience working closely with marketing teams to build and launch campaigns
• Strong understanding of paid media, SEO, lifecycle marketing, and web conversion flows
• Experience building systems that directly support campaign execution and optimization
• Mindset
• Thinks like a marketer, builds like an engineer
• Optimizes for speed, iteration, and measurable impact
• Focused on pipeline and revenue outcomes, not just outputs
• Defaults to automation and scalable systems over manual work

About you:

• 5+ years in growth engineering, marketing engineering, or technical growth roles, with experience building systems that support marketing and acquisition.
• Strong ability to partner with marketers to design and launch campaigns, and translate those into scalable systems and automation.
• Proficiency in SQL and at least one programming language (e.g., Python, JavaScript), with experience building scripts, workflows, or internal tools.
• Experience working with APIs, data pipelines, and integrating marketing tools (e.g., Salesforce, HubSpot, Segment).
• Experience applying AI/LLMs to automate or scale marketing workflows (e.g., content generation, personalization, outbound).
• Solid understanding of paid media, SEO, lifecycle marketing, and experimentation frameworks.
• Strong analytical skills with experience in testing, attribution, and performance measurement.
• Entrepreneurial mindset: thrives in fast-paced, test-and-learn environments with a bias toward speed and execution.
  
  

What’s in it for you:

• Competitive salary and meaningful equity opportunities.
• Healthcare, dental, and vision coverage.
• 401(k) / RRSP enrolment 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 Optimist.
• We believe in meritocracy, where ideas and effort are publicly celebrated.

About us:

Our mission is to make the life of blue-collar workers easier worldwide by creating software that meets their needs and realities. Our product is truly life-changing for 80% of the workforce that doesn’t work behind a desk and needs enterprise-grade software at their fingertips.

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.

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.

Joining Collibra’s Product Security team 

You will lead the high-stakes mission of embedding security into the very DNA of our software development lifecycle. As the primary champion of our security guardrails, you will manage a high-performing engineering team dedicated to protecting our LLM-powered features, Kubernetes clusters, and the brand trust our customers rely on. You are the shield ensuring our platforms are Secure-by-Design and Secure-by-Default at an enterprise scale.

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.

The Director, Product Security at Collibra is responsible for

• Strategic Engineering Partnership: Partnering with engineering teams to embed automated security testing (SAST/DAST/SCA) into CI/CD workflows and IDEs, driving adoption through developer-friendly tooling and technical guardrails for multi-cloud and Kubernetes environments.
• AI & Supply Chain Security: Implementing NIST and OWASP AI frameworks for LLM features and managing the Software Bill of Materials (SBOM) to mitigate supply chain risks.
• Vulnerability & Threat Management: Leading the PSIRT process, managing the Bug Bounty program, and overseeing offensive security efforts like penetration testing and threat modeling.
• Compliance & Audit Readiness: Owning product security controls for FedRAMP, SOC 2, and ISO 27001, ensuring all practices are audit-ready and operationalized.
• Leadership & Enablement: Managing the product security budget, vendor relationships, and developer enablement programs to ensure security is a shared responsibility across the org.
• Give-and-Get: You mentor your team to technical excellence while holding them accountable for the security of every line of code.
• Embrace Ambiguity: You translate complex technical threats into clear business risks for executive stakeholders.
• Lead with Confidence: You represent Collibra’s security posture to the world’s most demanding enterprise customers.

You have

• Technical Leadership Experience: 7 to 10 years of proven track record of managing high-performing security engineering teams in a modern SaaS or microservices environment.
• Deep SDLC Expertise: Extensive experience integrating security tooling (SAST, DAST, SCA) directly into automated developer workflows and container orchestration.
• AI/ML Security Knowledge: Hands-on experience with emerging AI security standards and securing data pipelines for LLM-powered features.
• Incident Response Mastery: Experience leading a PSIRT, managing public disclosures (CVEs/VEX), and triaging production vulnerabilities under pressure.
• Regulatory Fluency: Strong understanding of security control requirements for FedRAMP, STIG, and other major enterprise compliance frameworks.
• A bachelor’s degree or equivalent related working experience is required.
• 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

• A Technical Diplomat: Able to explain complex security vulnerabilities to non-technical stakeholders in Legal, Sales, and Marketing without losing them.
• Risk-Oriented: Skilled at translating technical debt into business risk to help executives make informed investment decisions.
• A High-Trust Mentor: Dedicated to building a culture of technical excellence and career growth within a hybrid team environment.
• Composed Under Fire: Calm and structured when leading responses to production threats or high-stakes customer escalations.
• Architecturally Minded: Someone who looks at software through the eyes of an attacker to identify flaws before they reach production.

Measures of success

• Within your first month, you will audit our current SDLC security integrations, establish relationships with key Engineering leads, and take over the management of our existing security tooling portfolio.
• Within your third month, you will have optimized our vulnerability ingestion pipelines, refreshed the threat modeling program for our AI initiatives, and established a clear roadmap for security of AI powered development, as well as our AI native and Agentic AI empowered products.
• Within your sixth month, you will drive a measurable reduction in manual security toil through automation, successfully lead a major penetration testing cycle, and serve as the primary security signatory for all production releases.

Compensation for this role

The standard base salary range for this position is $204,000.00 - $255,000.00 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 equity ownership at every level, bonus potential, a Flex Fund monthly stipend, pension/401k plans, and more.

Target RWE is seeking a Senior AI/ML Engineer to join our Technology team and help shape the next generation of real-world evidence solutions. In this hands-on role, you will design, develop, and deploy scalable machine learning systems — with a particular focus on large language model (LLM) applications. These systems enable our researchers, statisticians, and clinical teams to extract deeper insights from complex healthcare data. Your work will directly support Target RWE’s mission of advancing clinical research and informing better healthcare decisions at scale.

This is a highly collaborative position. You will partner closely with software engineers, data scientists, research scientists, and product managers to build high-performing, reliable, and scalable ML-native platforms. You will also serve as a technical leader within the Engineering team, helping cultivate a strong ML engineering culture and staying at the forefront of rapidly evolving AI technologies. This role reports to the Director of Engineering.

This is a role for someone who thrives at the intersection of cutting-edge AI research and production-grade engineering. The right fit is someone who can translate state-of-the-art methods into durable, enterprise-ready systems while understanding the requirements of clinical research. This is an exceptional opportunity for someone excited about applying AI to transform how clinical evidence is generated and used.

What You’ll Do

• Design, develop, and deploy scalable ML software systems to address large-scale analytical challenges in healthcare and real-world evidence generation.
• Translate state-of-the-art LLM research — both internally developed and from the broader research community — into production-ready solutions that deliver measurable value for our customers and internal teams.
• Work with complex, large-scale, real-world clinical data (structured and unstructured) in a cloud-based environment, ensuring quality and reliability across the data pipeline.
• Develop methods and features to ensure high-quality production model results, including drift detection, performance degradation monitoring, and observability tooling.
• Collaborate with software engineers, research scientists, and product teams to build ML-native enterprise platforms, ensuring scalability, efficiency, and reliability at every layer.
• Ensure robust monitoring, logging, and error handling for all deployed ML systems.
• Stay current on the latest advancements in machine learning and AI, and proactively identify opportunities to apply relevant innovations to Target RWE’s platform.
• Cultivate a strong ML engineering culture across the organization, contributing to best practices, code reviews, documentation, and technical mentorship.
• Partner with cross-functional stakeholders to translate complex technical concepts and model outputs into clear, actionable insights for non-technical audiences.

What You’ll Bring

• 5+ years of experience in backend and cloud platform software development, with the flexibility to traverse the stack when necessary.
• Fluency in Python.
• Strong familiarity with modern ML and LLM techniques, frameworks, and tooling.
• Demonstrated experience developing and maintaining high performing, scalable, data-centric enterprise software products.
• Strong problem-solving skills and meticulous attention to detail in technical design, implementation, and documentation.
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders.
• Collaborative team player who thrives in a cross-functional environment alongside engineers, researchers, and product managers.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Nice to Have 

• Experience in 0-to-1 development of end-to-end ML systems, including design, training, inference, deployment, and monitoring.
• Hands-on experience with LLMs in production environments, including fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Experience building the plumbing necessary for RAG-based approaches, including data vectorization, vector stores, and various search methodologies.
• Background in healthcare, clinical informatics, or life sciences, with familiarity with real-world clinical data sources (EHR, claims, registries).

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 

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 

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.

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

Joining Collibra’s Artificial Intelligence team

We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterized by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra.

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.

AI Engineers at Collibra are responsible for

• Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches 
• Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
• Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
• Evaluating algorithmic results for quality, adaptability, and efficiency
• Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
• Collaborating with cross-functional teams and mentoring junior engineers on AI best practices

You have

• 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
• Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
• Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
• Experience with model evaluation, testing frameworks, and validation methodologies
• This position is not eligible for visa sponsorship
• A bachelor’s degree or equivalent related working experience is required

You are

• Deeply technical, driven, and analytical about the insights data can deliver
• Able to cut through hype and noise to identify foundational problems and build maintainable, performant solution
• Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
• Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
• A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
• Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
• Eager to both learn from others and share knowledge ; AI is evolving rapidly and no one has all the answers

Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are

• Within your first month, you will familiarize yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
• Within your third month, you will start to deliver new AI/ML features into our SaaS platform
• Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap

Compensation for this role

The standard base salary range for this position is 152,000 - 190,000 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 a competitive total rewards package, including bonus potential, equity for eligible roles, a Flex Fund monthly stipend, pension/401k plans, and more.

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

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.

The Team

Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting & transformation arm of a unified Customer Organization aligned to four core mandates:

1. Make Celonis Business Critical: Transform the platform into the central nervous system of our customers’ operations.
2. Scale Customer Health: Drive full platform adoption to ensure long-term value and stability.
3. Focus on High-Value Activities: Prioritize complex, high-impact technical work that moves the needle for Focus & Strategic customers.
4. Empower Career Growth: Foster an environment where every Celonaut owns customer success while accelerating their own professional trajectory.

We deliver production-ready Celonis Platform implementations that drive measurable top, bottom, and green-line impact. Moving beyond “point-in-time” analysis, we utilize a Discover-and-Build approach to solve the world's most complex operational challenges.

In close partnership with Value Engineering, we perform data-driven discovery to validate business hypotheses against real-world data. We then build and deploy operational, AI-enriched solutions on top of the Celonis Platform that automate decisions and optimize workflows at an enterprise scale.

We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state-of-the-art AI augmentation, allowing our consultants to focus on high-level, strategic problem-solving. By serving as the "eyes and ears" in the field, we maintain a continuous innovation loop with our Product & Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform.

The Role

You are an AI Deployment Architect (AIDA). You own the reality of scaling solutions within a customer's actual IT environment and productizing those results. Complementing your colleagues in Applied Value Engineers and Applied AI Engineering, who focus on pre-sales prototyping, you bridge the gap between "the art of the possible" and Business Critical, scaled solutions. As an AIDA, you steer account teams and customers toward AI use cases that are inherently scalable. You are not the primary implementer of these solutions. Instead, you steer the definition of the architectural vision for Consultants to execute and oversee delivery excellence. You remain hands-on for first-of-their-kind production solutions, eventually transitioning to an advisory capacity across a broad "book of work" within your assigned vertical.

The Work You’ll Do

• Advise and Safeguard Technical Implementations: Provide architectural oversight for concurrent deployments at Fortune 500 organizations. You act as the final technical authority, maintaining "project-ready" coding skills to troubleshoot and resolve critical production failures that block value realization.
• Architect AI-Enriched Solutions: Collaborate with pre-sales teams to transform experimental prototypes into robust, scalable enterprise applications. You then translate these successful deployments into standardized platform features by maintaining a tight feedback loop with Product and Engineering.
• Engineer Low-Latency Systems: optimize these AI-enriched solutions for high-throughput and minimal latency. You ensure the Celonis Platform handles near-real-time data integration without compromising the user experience of business-critical applications.
• Implement Eval-Ops & Automated Testing: Build rigorous evaluation pipelines to test LLM quality and reliability at scale. You move beyond manual spot-checks by institutionalizing automated benchmarks for model accuracy and safety.
• Deploy LLMOps & Lifecycle Governance: Design systems for continuous model monitoring, cost optimization, and performance tuning. You establish the frameworks for data privacy and compliance within the customer's actual IT environment.
• Troubleshoot Agentic Orchestration: Manage the complexity of multi-agent workflows where agentic activity is triggered by Celonis context and logged back to the platform. You ensure seamless hand-offs between agents and maintain the integrity of the full process loop.

 The Preferred Qualifications You Need

• Architectural Leadership: Proven experience designing and scaling innovative AI solutions within actual customer IT environments, moving these solutions from pilot to production.
• Advanced Technical Production: Ability to refactor experimental pilots for production-scale performance and a deep proficiency in Python for building enterprise-grade LLM-based solutions.
• Vertical Industry Expertise: In-depth understanding of complex business challenges within a specific industry vertical (e.g., Manufacturing, Life Sciences).
• Senior Stakeholder Management: Excellence in translating highly complex architectural concepts and AI governance frameworks into strategic roadmaps for C-suite stakeholders.
• Lifecycle Mastery: Experience in production-level acceptance testing, low-latency system design, and the management of ongoing LLM performance.
• Academic Excellence: Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related quantitative field.

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.

Relay is the Intelligent System of Action for the physical economy. While the digital revolution has historically left the deskless workforce behind, we are closing that gap by transforming analog frontline operations into a data-rich, AI-powered ecosystem. We aren’t just selling radios; we are building the digital foundation for the 80% of the global workforce that doesn't work at a desk.

It is an incredibly exciting time to be joining Relay, given we've recently ranked #175 on the Deloitte Technology Fast 500 and #920 on the Inc. 5000. 

Why Join Relay?

• A Proven Winner: Join a hyper-growth company trusted by over 10% of the Fortune 500 and a dozen of the Fortune 100.
• High Value, High Impact: With 47% of our revenue coming from $100K+ ARR customers and a 135% Net Revenue Retention (NRR), you will be joining a company rooted in value creation.
• Market-Leading Innovation: The Relay platform captures 1 billion new data points weekly and features award-winning AI tools like TeamTranslate™, which has seen 500% YoY growth.
• World-Class Leadership: Our already stellar C-suite has been bolstered by leaders to help us scale toward our next major milestones.
• The Relay Culture: Work from our amenity-rich Raleigh campus (fitness center, sports courts) with 100% paid health insurance and a team dedicated to "Best Work In My Life" (BWIML).

If you're passionate about technology, driven to make a difference and align your work to a bigger mission, and excited to join a company that's shaping the future of frontline work, we encourage you to explore opportunities at Relay!

This is a full time, in office role based in our Raleigh, NC headquarters, requiring 5 days per week in the company office (Monday - Friday).

As a Customer Operations Systems Manager at Relay, Inc., you will be responsible for driving the implementation and optimization of strategic technology solutions for our Customer Organization (Customer Success & Customer Support). You will report to the Senior Manager of Customer Operations Technology to execute the vision for our technology stack, building and optimizing systems to enhance efficiency, automate workflows, and empower our customer-facing teams. This role requires a blend of deep technical expertise, exceptional problem-solving skills, a collaborative mindset, and a passion for leveraging technology, including artificial intelligence, to enable business workstreams.

The ideal candidate is a proactive and curious technologist with a proven track record of successfully implementing technology solutions to optimize team workflows. They possess deep expertise and demonstrable experience in building within CRM, ticketing, and CSP systems to enhance efficiency and scalability. With a passion for technology-driven problem-solving, they approach process building with simplicity and scalability, demonstrating a strong command of operational data structures. This individual will continuously iterate and strategically integrate emerging technologies, especially AI, to evolve our operations and drive significant business impact. If you are a driven, self-starter eager to make an immediate impact in building, scaling, and managing a growing customer-facing team at one of the fastest-growing technology companies, this opportunity is for you!

Primary Responsibilities

• Evaluate, Implement, Iterate, and Support Operational Processes and Technology: Partner with leadership across Customer Success and Support to execute the technology roadmap, focusing on building and maintaining the core operational systems. You'll design, implement, and iterate on system configurations, custom automations, and advanced workflows within our CRM, CSP, and other key platforms to drive efficiency and support our operating strategy while also evaluating, recommending and integrating emerging technologies to enhance and innovate the customer organization tech stack.
• Leverage AI for Operational Transformation: Be well-versed in the application of AI/LLM technologies to solve operational challenges. Identify opportunities and implement AI-powered tools and solutions to improve team efficiency and enhance customer experience.
• Manage Technical Documentation: Create and maintain clear, accurate technical documentation for the processes, automations, and tools you build to ensure long-term sustainability of our evolving tech stack and knowledge transfer.
• Technical Troubleshooting: Provide advanced technical support for operational systems, troubleshooting complex issues and implementing permanent solutions to prevent future problems.
• Data Analysis and Reporting: Utilize data querying tools such as SQL to build reports and dashboards that provide insights into customer health, team performance, and operational KPIs, supporting data-driven decision-making. Ensure new and revised systems and processes follow our existing data structure to ensure proper data hygiene, consistency, and efficient data analysis.
• Cross-Functional Partnership: Immerse yourself in the daily operations of Customer Success and Customer Support, to gain and maintain a thorough understanding of their key functions, technology utilization, and core processes. This will enable your effectiveness in partnering with these teams through enhancements and iterations.

Required Qualifications

• Bachelor's degree in a relevant field or equivalent experience.
• 5+ years of experience in a System Administration or Systems Technology role, with a strong focus on implementing technology processes in a B2B SaaS environment.
• 2+ years of direct CRM Administration.
• Advanced technical proficiency with a proven ability to build, implement, and manage systems.
• Experience leveraging AI/ML tools to improve business or operational processes.
• Expert-level skills with spreadsheets (e.g., Google Sheets, Microsoft Excel), including advanced functions, pivot tables, and data modeling.
• Experience with scripting languages (e.g., JavaScript, Python, etc.) or other programming languages to perform various functions.
• Knowledge of APIs and experience building secure integrations between systems.
• Strong proficiency in SQL for data analysis and reporting.
• Excellent analytical and problem-solving abilities with meticulous attention to detail.
• Project management experience and familiarity with PM principles (AGILE, SCRUM, etc.).
• Exceptional communication skills, with the ability to translate technical concepts for non-technical audiences.
• Strong understanding of sales, marketing, customer success, and support processes and their interdependencies.

Preferred Qualifications:

• Experience supporting an Account-Based Selling (ABS) strategy is highly desirable.
• Experience with HubSpot CRM in a growing SaaS organization, including new system implementations and enablement.

Why Join Relay?

• Make a Tangible Impact:  Our platform directly enhances the lives of frontline workers, improving their responsiveness to customers (72%) and overall efficiency (77%). We've already facilitated over 2.5 billion messages and supported countless deskless workers.
• Be Part of a Winning Team:  We're not just growing - we're recognized as a leader in our field. Relay has been honored by Inc. 5000, Deloitte 500, and NC Tech
• Thrive in a World-Class Environment: Our Raleigh campus boasts a fitness center, outdoor sports courts, a cafeteria, and modern workspaces designed to inspire collaboration and innovation.
• Embrace a Vibrant Culture: With over 200 team members, we've cultivated a culture of empowerment and engagement, where every employee is encouraged to do their best work.
• Invest in Your Future: Our comprehensive benefits package prioritizes work/life integration and supports your personal and professional development.

About us: Relay culture, benefits & perks:

Our culture hinges on Relayers getting LIT up in an environment that fosters learning, impact, and teamwork (LIT) where we can *CHASE* 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
• Latest tech, standing desks, and all the accessories and software you need to succeed in your role

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.