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

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

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

Position Expectations

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

The right candidate for this role will be

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

Nice to have!

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

About MongoDB

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

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

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

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

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

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

REQ ID: 2263203305

The Team + The Role

Pendo’s Revenue Accounting team supports the order-to-cash process and helps ensure revenue is recognized accurately, efficiently, and in compliance with technical accounting standards. The team partners closely with Sales, Revenue Operations, Systems, and external auditors to translate complex revenue requirements into scalable processes.

As a Sr. Revenue Accountant, you will contribute to the revenue recognition process end to end, with a focus on ASC 606, complex contract review, technical accounting research, and monthly revenue reporting. You will help reduce manual work by leveraging automation tools, data flows, integrations, and AI-enabled tools while coaching junior team members and strengthening cross-functional alignment.

This role is a hybrid role based in our Raleigh office.

What this looks like day-to-day

• Revenue accounting and contract review: Review complex customer contracts for ASC 606 considerations and assess the operational impact of contract terms. Research and document policy positions on areas such as standalone selling price, variable consideration, and contract modifications.
• Technical accounting documentation: Draft technical accounting memos and documentation for accounting policy elections, including ASC 606-related positions. Communicate conclusions clearly to internal stakeholders and external auditors.
• Systems and process improvement: Research and support the adoption of new accounting systems, features, and automation opportunities. Partner with cross-functional stakeholders to improve alignment, reduce manual revenue processes, and scale revenue operations as Pendo grows.
• Training and cross-functional enablement: Develop training and documentation for cross-functional teams to support consistent understanding and compliant application of complex revenue policies. Help ensure Sales, Revenue Operations, and Systems teams have clear guidance on revenue-related processes.
• Monthly close and reporting: Participate in month-end close and support accurate monthly revenue reporting. Perform key revenue review controls, variance analysis, and process improvements that help shorten timelines while maintaining compliance.
• Team mentorship: Coach and mentor junior team members on daily challenges, technical accounting principles, and professional development within the revenue recognition function. Review work thoughtfully and help raise the quality and consistency of team output.
• AI-enabled accounting work: Leverage AI-enabled tools to improve efficiency in technical accounting research, memo drafting, and complex problem-solving. Apply sound judgment when evaluating outputs and incorporating AI into accounting and finance workflows.
• Additional accounting support: Perform other accounting duties as assigned. Balance flexibility with ownership while supporting the broader needs of the accounting organization.

Who You Are

Beyond the qualifications, we hire through a specific lens. These aren't buzzwords; they're the things we'll actually look for in how you talk about your work.

You're a builder, not a maintainer.

You're most energized when there isn't a clear path yet, and you get to define it. You don't wait for direction; you identify gaps, shape solutions, and drive them forward. At Pendo, great Sr. Revenue Accountants don't just follow instructions; they operate as strategic advisors, influencing decisions, guiding stakeholders, and elevating how we work.

You're AI-curious - genuinely.

You're not using AI tools occasionally. You're rewiring how you work around them. You're faster, sharper, and more prolific because of it, and you bring that energy to everything — how you approach your work, how you prep, how you communicate, how you think. We want someone who sees AI as a multiplier, not a shortcut.

Must-haves

• Bachelor’s degree in accounting or a closely related field.
• 4+ years of relevant experience in technical revenue accounting, preferably with a combination of public accounting and fast-paced SaaS industry experience.
• Deep, practical working knowledge of ASC 606, including standalone selling price, variable consideration, and contract modifications.
• Practical experience supporting SaaS revenue models and applying technical accounting guidance to real order-to-cash processes.
• Experience supporting financial reporting, including revenue variance analysis and key revenue review controls.
• Advanced proficiency in Microsoft Excel.
• Strong proficiency using generative AI tools, including optimizing prompts, evaluating outputs, and understanding how AI can support technical research and accounting problem-solving.
• Detail-oriented approach with strong problem-solving and analytical skills.
• Experience reviewing junior team members’ work and mentoring others on technical accounting principles and professional development.

Nice-to-haves

• Workday Financials experience.
• Salesforce experience.
• CPA license.
• Zuora experience.

About Pendo

Pendo was founded in 2013 by former product managers, who combined their heads and hearts to build something they wanted but never had as product managers: a simple way to understand and attack what truly drives product success. Our mission is to improve society's experience with software. Come join one of the fastest-growing startups, supported by best-in-class institutions like Battery Ventures, Salesforce Ventures, Spark Capital and Meritech.

Pendo Core Values: Bias to Act, Hone Your Craft, The Team is Pendo, and Maniacal Focus.

Location: Pendo is a hybrid culture. In-office 3 days per week unless designated remote.

Compensation: The expected salary range for this role to be performed in Raleigh, NC is USD 102,600 - USD 123,000.

Benefits: Pendo offers highly competitive, employer-heavy coverage in the United States, including $0 premium options, a strong 401(k) match, equity, and flexible time off.

EEOC: We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to our success. We welcome all people of different backgrounds, experiences, abilities and perspectives.

Accessibility: Pendo is committed to working with, and providing access and reasonable accommodation to, applicants with mental and/or physical disabilities. If you think you may require an accommodation for any part of the recruitment process, please send a request to: accommodation@pendo.io. All requests for accommodations are treated discreetly and confidentially, as practical and permitted by law.

Appian is seeking a visionary Principal, AI GTM Excellence Leader reporting to the VP of Product Marketing, to transform and scale how our Product and Solution Marketing organization creates, delivers, and optimizes content. This highly visible role will act as a centralized Center of Excellence, leading the adoption of AI, scalable video, and innovative content strategies across the GTM organization.

This role is both strategic and hands-on. You will not only define the strategy, but also actively design, edit, and produce high-impact assets, including videos, animations, digital layouts, self-service content tools, and AI-enabled templates. The ideal candidate blends product marketing, content strategy, creative execution, AI fluency, and GTM operational scale.

In this role, you will:

• Lead the integration of AI-driven workflows across the PMM organization to improve productivity and expand the variety and volume of content outputs.

• Pioneer new strategies and operating models to scale video production and other high-impact digital assets.

• Build and deploy AI-enabled self-service content tools and templates that empower marketing, sales, and field teams while maintaining brand and messaging guardrails.

• Monitor emerging AI, content, and creative technology trends, and guide Product Marketing and Content teams on how to adopt them effectively.

• Actively create, edit, and produce top-tier deliverables, including videos, motion graphics, animations, and sophisticated digital layouts.

• Ensure content supports the full buyer journey, from web and digital campaigns to sales progression and closed-won opportunities.

• Develop and manage a scalable global network of content architects and production leaders who can translate complex product portfolios into clear, compelling stories and assets.

• Ensure AI-generated, self-served, and custom-built content aligns with Appian’s brand voice, messaging, and strategic positioning.

• Guide teams on the most effective layouts, formats, and delivery mechanisms to maximize audience engagement and market impact.

• Serve as a hands-on mentor, strategic advisor, and centralized resource across the PMM organization.

• Partner closely with product, marketing, and sales leadership to align teams around a shared GTM framework.

• Turn high-level strategy into measurable market impact, demand generation, and sales engagement.

Qualifications:

• 10–15+ years of senior-level experience in product marketing, content strategy, brand building, GTM leadership, or related roles.

• Demonstrated experience driving digital innovation, operational scale, and content transformation within a B2B or enterprise technology environment.

• Advanced, hands-on proficiency with creative technologies, including Adobe Creative Cloud tools such as Premiere Pro, After Effects, InDesign, Illustrator, and Photoshop.

• Experience with modern digital layout, UI, content production, or creative workflow platforms.

• Proven ability to combine strategic vision with hands-on execution across content creation, digital ecosystems, analytics, AI-driven workflows, and campaign execution.

• Experience building global messaging, content, or design systems that translate complex technical product portfolios into cohesive stories across multiple channels.

• Deep practical understanding of AI tools, generative workflows, and content automation platforms, with the ability to operationalize them for marketing teams.

• Strong cross-functional leadership skills, with experience aligning Product, Marketing, Sales, and GTM teams around a shared narrative and scalable content architecture.

• Strong eye for content layout, visual effectiveness, video production, and how B2B audiences consume content across different stages of the buyer journey.

• Hands-on leadership approach with the ability to break down silos, mentor teams, and set a high bar for creative and strategic execution.

The base salary for this role is between $144,000–$225,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

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

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

#LI-MB1

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 

Job Description: Sr Manager, Finance Data & Analytics

About the Job

As the Sr Manager of Finance Data & Analytics, you lead the engine room that powers our strategic decision-making. Your success is defined by the winning combination of partnering your team’s technical data expertise with the business context of our other Finance functions to maximize insights for the executive team. You are responsible for delivering data analytics and the high-confidence Analyst-Ready Data Layer, ensuring our organization executes on insights.

Key Responsibilities

• Data Analysis & Insights: Lead high-impact, cross-functional analyses to uncover the why behind business results, identifying hidden trends and providing strategic recommendations across both top-line growth and expense management.
• Predictive Analytics: Develop and refine early warning indicators that signal structural risks or opportunities in the long-term outlook before they hit the P&L.
• Executive Decision Support: Synthesize complex data analytics into clear, actionable narratives for the CEO, CFO, and PE partners, acting as a strategic advisor to the VP of Finance & Strategy.
• Partnerships & Insights: Actively partner with the Finance & Strategy team on high-priority projects, combining deep data mining with functional business context to deliver more impactful insights.
• Analyst-Ready Data Layer: Build and govern a dedicated business data layer, utilizing both structured warehouse schemas and agile ad-hoc tables, to provide a foundational data layer that eliminates manual data prep, allowing every analyst to work efficiently.
• Connected Planning:  Oversee the integrated architecture of our planning environment (Pigment), ensuring that functional models remain synchronized without sacrificing the autonomy of individual teams.
• Finance AI & Innovation Roadmap: Act as the Finance lead for emerging AI/ML technologies in the finance space; evaluate and pilot AI-driven concepts to enhance forecasting capabilities, automate data anomaly detection, and streamline the Analyst-Ready data layer as the technology matures.

The Profile

• Strategic Partner: 8–10+ years in Finance or Analytics at a $100M+ SaaS company, with a mastery of recurring revenue economics, customer lifecycles, and the data structures required to model complex subscription metrics.
• Bridge Builder: Exceptional at communicating technical data concepts to non-technical audiences.
• Technological Curiosity: A forward-thinking mindset regarding the evolution of technology and Finance; you have a pulse on how Generative AI and Machine Learning are transforming data analysis and can pragmatically apply these tools to solve business problems.
• Data Supported Rigor: You thrive in environments where data accuracy, auditable definitions, and analytical integrity are the standard.

• Advanced SQL & Solution Design: High proficiency in advanced SQL for complex data manipulation to ensure a robust business data layer. 
• Data Governance & Quality:  Proven ability to implement data hygiene protocols and traceability in the transformation layer to guarantee that financial outputs are valid and audit-ready.
• DWH Partnership: Deep experience partnering with Data Engineering and Data Warehouse teams to influence data ingestion priorities and schema designs that support scalable financial modeling.

Analytical Storytelling: Expert at using tools like Tableau to turn the engineered data layer into compelling narratives for leadership.

Who We Are:

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

What We Are Looking For:

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

What You'll Do:

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

What You Need:

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

Bonus Points:

Education:

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

Experience:

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

Technical Skills:

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

Soft Skills:

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

The Whole Person Promise:

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

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

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

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

To be successful in this role, you need:

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

Basic qualifications:

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

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

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

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

About the Position

We're looking for a 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.

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.

Role Description

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

Key Responsibilities:

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

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

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

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

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

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

Requirements:

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

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

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

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

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

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

Nice to have (big plus):

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

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

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

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

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

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

To be successful in this role, you need:

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

Basic qualifications:

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

#LI-KC1

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

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

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

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.

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.

Why Join Relay?

• A Proven Winner: Join a hyper-growth company trusted by over 10% of the Fortune 500 and continuing to move up market with massive impact and success.
• 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!

Role Overview

As Relay continues to scale and advance its go-to-market motions, the need for high-quality data planning, structured analysis, and clear operational insight remains critical. Reporting to the Director of Revenue Planning and Analytics, this internship provides an opportunity to contribute foundational analytical support to the Sales and GTM teams.

The intern will focus on hands-on data analysis, data extraction (SQL experience preferred), and prototyping AI-native analytical processes to support sales analyses & team execution. This role is focused on the data supporting the rolling 12-month horizon and will help ensure the right information is surfaced to sales and segment leaders by assisting in aggregating data, analyzing performance, and translating core data insights.

Success in this role requires the ability to perform analytical rigor, a proactive approach to data work, and clear communication skills.

Key Responsibilities

• Assist in Building Sales Planning Infrastructure
  • Support the team by running data analyses to inform bookings targets, productivity expectations, and other modelling assumptions.
  • Develop and run queries to update inputs for pipeline models, quota capacity, and other frameworks.
  • Contribute to refining planning data as segments evolve and more performance data becomes available.
• Support Segment Performance Visibility & Analytical Analysis
  • Use Hubspot and other database/SQL capabilities to extract, clean, and aggregate performance data across segments.
  • Analyze performance data to assist with identifying indicators and emerging trends.
  • Assist in diagnosing where execution is strong versus where it is breaking down.
  • Typical outputs may include running Hubspot dashboards, SQL queries for analyses, productivity trends, etc. 
• Develop AI-Native Analytical Processes
  • Help assist in the design and prototype AI-native processes to automate data preparation, quality checks, or foundational reporting for the sales team.
  • Help evaluate new analytical tools and methods to enhance the team’s sales capabilities - including sales efficiency and data modeling.
• Support Strategy Teams Through Data Supply
  • Act as an analytical resource to the team by supplying the data pulls to help with structured insights needed to evaluate strategic options.
  • Support the creation of sales operational models for segment business cases.
  • Help quantify opportunity sizes and resourcing implications by querying source data.
  • Help surface data-backed perspectives that sharpen leadership discussions.
• Assist in Synthesizing Insights for Leadership
  • Help prepare data slides and summaries for leadership-ready narratives and planning materials.
  • Prepare supporting dashboards / data visualizations and analyses for leadership reviews.

Qualifications

• Currently pursuing an undergraduate or graduate degree in a quantitative / analytical field such as Finance, Data Science, Business Analytics, Economics, Mathematics, Statistics, or Engineering.
• Strong analytical skills with a proven ability to structure problems and translate data into business insight.
• Proficiency with SQL and Hubspot / CRM tools - and experience querying relational databases to support analytical analysis.
• Demonstrated interest or experience in building AI-native processes or leveraging generative AI for operational efficiency.
• Strong verbal and written communication skills, with the ability to simplify complex data topics.
• Naturally collaborative and curious - with a high degree of ownership.
• Comfortable asking questions and operating in fast-moving environments.
• Familiarity with SaaS revenue drivers (pipeline dynamics, sales capacity, expansion) is a plus.

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. 

Join Us On-Site in Raleigh!

At Relay, we're building something special, and we believe our relationships with each other and our customers are the foundation of our success. We will ask this individual to be in the office five days per week. 

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 versatile Content Strategist to drive our full-funnel storytelling efforts.  The ideal candidate is a mid-career writer who is comfortable producing a high volume of short- and medium-form copy across demand generation, social channels, and the web. This is an individual contributor execution role responsible for full-funnel content production, with a primary focus on virtual events and webinars, account-based-marketing (ABM) supporting content, and sales enablement materials. This candidate has demonstrated experience upholding brand tone, voice, and style, while always identifying and adopting new best practices in the world of content marketing. This person is proficient across written and spoken content, thinking strategically, and operating from ideation to execution.

What You'll Do:

• Plan and produce a broad range of written content for product launches, promotions, email drip programs, events, and other marketing initiatives — including blog articles, digital ads, landing pages, fact sheets, sales enablement materials, and vertical-specific ABM-supporting content.
• Own the creation and ongoing maintenance of content in Highspot, ensuring all materials are current, organized, and aligned to sales enablement needs.
• Serve as the content driver and project manager for webinars and virtual events, including topic identification, content creation, speaker recruitment, and cross-functional campaign coordination.
• Develop and maintain a content plan informed by customer journey insights and strategy, ensuring content is aligned to customer needs at each stage of the funnel.
• Measure content effectiveness against defined goals; leverage data and market insights to inform optimization and new concept development.
• Uphold Bandwidth's voice, tone, and style across all written materials — including copy-editing and proofreading for cross-functional teams on an ad hoc basis.
• Champion the customer and build internal relationships — advocate for how customers find and act on content, and connect with contributors across the organization (product leaders, executives, people services) to generate new ideas.
• Manage project timelines from request through delivery, ensuring on-time execution.
• Support social media content needs for LinkedIn and other B2B channels as capacity allows.
• Contribute to broader brand and content initiatives as assigned.

What You Need:

• Education:
  • Four-year degree in English, journalism, marketing, communications or related field
• Experience:
  • 3–5 years in a fast-paced B2B copywriting, communications, or marketing role, with demonstrated experience writing for demand generation, digital channels, and/or events. 
• Knowledge:  
  • Experience writing for LinkedIn or other B2B social media is a plus.
  • Familiarity with Highspot or similar sales enablement platforms is a plus.
  • Experience with WordPress, Google Analytics, Marketo, or similar systems is a plus.
  • Experience with Monday, Asana, Trello, or a similar project management system is a plus.
  • Agency background and experience working in software, tech, or telecom is a plus.

• Skills:
  • Command of the English language, including grammar, syntax, diction, and the ability to write to a brand voice.
  • Excellent communication skills, including the ability to give rationale for creative choices and strategy and communicate project statuses, challenges, and solutions.
  • Highly organized self-starter with a bias for action and the ability to independently manage a webinar/virtual event content calendar and project timelines.
  • Experience with content performance tracking and using data to optimize content programs.
  • A demonstrated track record of business impact through content.
  • Understanding of content disciplines including SEO, content strategy, and full-funnel execution.
  • Strong interpersonal and collaborative skills with the ability to work across many internal partners.
  • Comfort using generative AI tools as part of a content workflow.

Bonus Points:

• Experience: 
  • 3+ years writing for B2B tech or software.
  • Experience owning or managing a webinar or virtual events program.
  • Experience with ABM content strategy and execution.
• Knowledge:
  • Familiar with Chicago style guide
  • Experience with Hubspot or similar sales enablement platforms.

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.