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

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.

The Team

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

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

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

Role Overview

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

The ideal candidate should

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

Special Requirements:

• Be a US Citizen

Expectations

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

About MongoDB

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

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

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

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

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

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

Req ID: 426187

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

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

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

The ideal candidate should

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

Responsibilities 

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

Strong candidates may also have experience with:

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

About MongoDB

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

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

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

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

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

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

Req ID: 1273396252

About the opportunity

Candidates must be located in the eastern time zone

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

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

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

What to expect?

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

What you need to be successful?

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

What's in it for you?

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

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

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

#LI-Remote

About the Opportunity

Candidates must be located in the eastern time zone

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

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

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

What to Expect

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

What You Need to Be Successful

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

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

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.

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

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

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

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Compensation: The United States base salary range for this full-time position is $140,000-$200,000 + bonus + equity depending on experience

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

TOTAL COMPENSATION

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

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

TOTAL COMPENSATION

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

Joining Collibra’s Education team

You will join the Education team within our Professional Services organization, reporting directly to our Director of Education. Our mission is to empower and inspire Data Citizens by delivering seamless learning experiences that drive long-term customer success. As our Learning Systems Engineer, you are the bridge between education and innovation, tasked with optimizing our platforms to ensure our global users can navigate their Data Intelligence journey without friction.

In this role, you’ll embody our value "Our customers are our true north" by using your technical expertise in APIs and automation to remove learning barriers. Every workflow you build and every system optimization you implement is designed with one goal: ensuring our customers have the most efficient, intuitive path to mastering 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.

Learning Systems Engineers at Collibra are responsible for

• Manage and optimize our external-facing Learning Management System (LMS) and connected integrations in order to deliver a seamless, high-performance user experience for our global customers.
• Architect and monitor the education data pipeline from the LMS to our data lake in order to ensure high-quality metadata extraction and reporting accuracy for stakeholders.
• Automate core learning operations, including badge issuance and certification enrollments, in order to scale program delivery and reduce manual intervention for the Education team.
• Implement AI-driven solutions and advanced workflows in order to provide deeper customer insights and personalize the learner journey at scale.
• Analyze and resolve complex technical support tickets in order to identify root causes and proactively improve platform stability and user satisfaction.

You have

• 3+ years of experience managing and optimizing enterprise LMS platforms (direct experience with Docebo is a significant plus).
• Proven technical proficiency with REST APIs or Python for systems integration and task automation.
• Hands-on experience building automated workflows using middleware tools such as Zapier or Workato.
• Demonstrated experience managing learning data pipelines, including data extraction, metadata mapping, and analytics reporting.
• A Bachelor’s degree in Computer Science, Information Systems, Educational Technology, or equivalent professional work experience.
• This position is not eligible for visa sponsorship.

You are

• A methodical problem-solver who analyzes complex technical issues with an investigative mindset to identify root causes and implement sustainable solutions.
• A clear and patient communicator who applies a high degree of empathy when translating technical system logic into understandable guidance for both internal and external stakeholders.
• An innovation-driven technologist who possesses an insatiable curiosity for emerging tools, specifically in how AI and LLMs can be applied to revolutionize traditional learning operations.
• A detail-oriented data steward who maintains meticulous standards when auditing data pipelines and system metadata to ensure reporting remains the "true north" for the organization.
• An agile collaborator who demonstrates a proactive and iterative approach to process improvement, balancing developer-level logic with the mission of an educator.

Measures of success

• Within your first month, you will be onboard into the Docebo LMS, master the data pipeline, and take ownership of technical support tickets to identify and resolve common user pain points.
• Within your third month, you will drive operational efficiency by implementing automations, auditing data for reporting accuracy, and collaborating with the Data and Automation teams to align on learning processes
• Within your sixth month, you will scale the platform's architecture and pilot AI-driven enhancements to improve the learner experience while delivering measurable improvements in system performance and support efficiency.

Compensation for this role

The standard base salary range for this position is $96,000.00 - $120,000.00  per year. This position is not eligible for additional commission-based compensation. Salary offers are based on a combination of factors, including, but not limited to, experience, skills, and location.

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

Joining Collibra’s Customer Support Team

Collibra is looking for a Senior Customer Support Engineer II to identify code defects in Collibra’s software platform based on your investigation of customer-reported problems.

The Customer Support  Team responds to customer issues, identifies the root cause and applies workarounds. Reporting to the Customer Support Manager, you will be part of a growing team of engineers focused on improving customer satisfaction.

As an engineer, you will focus on the edge cases, the “what if”. We need your knowledge to find the root causes and we need your experience and skill-set to resolve them.

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.

Senior Customer Support Engineers at Collibra are responsible for

• Analyzing complex customer issues to determine the root cause.
• Improving observability by identifying logging and monitoring improvements and unblocking customers using our software.
• Collaborating across Collibra’s Product Engineering teams to understand unclear functional requirements.

You have

• Professional experience including the following:
• 2+ years of experience developing Java-based applications (Scala is a plus).
• 2+ years of experience developing enterprise grade Python applications leveraging APIs.
• 2+ years of experience with SQL data sources.
• UNIX, Docker, and networking (TCP/IP, TLS) experience are a plus.
• Knowledge of OO principles, Design Patterns, Test-Driven Development and clean code principles.
• Experience maintaining software running in production.
• A bachelor’s degree or equivalent work experience is required.

You are

• An investigator, excited by the challenge of looking for bugs and resolving them.
• Focused on quality and knowledge of “how” something works, especially what to test in order to execute change with confidence.
• Comfortable speaking and writing in English. We are a global team!
• Because this role supports the U.S. Government, it is required that this candidate be a U.S. Citizen who resides on U.S. soil.
• Willing to be on-call as part of our L3 on-call rotation for product releases and priority issues.
• Motivated by the challenge of scaling a growing company.
• Collaborative - we work cross functionally with many other teams.

Reporting to Collibra’s Manager, Customer Support your measures of success are

• Within your first month, you will gain an understanding of the Collibra application ecosystem, our personas and the most common user workflows associated with them.
• Within your third month, you will be an active member of our team, and be comfortable investigating issues on your own.
• Within your sixth month, you will be interacting with other engineering teams to discuss improvements. You will have a broad understanding of the use cases our application provides and detailed understanding in some of the more complex parts of the system.

Compensation for this role 

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

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

Joining Collibra’s Customer Experience Testing Team

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

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

SDETs at Collibra are responsible for

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

You have

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

You are

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

Measures of success

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

Compensation for this role

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

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

IXL Learning, developer of personalized learning products used by millions of people globally, is seeking new graduates who have a passion for technology and education. You will dive into our code base and immediately contribute to our three extremely impactful educational products and build new, innovative products. You can fine-tune your existing skills and learn new ones as you work on one of our many teams. You’ll be able to work with our Core Technology team in back-end engineering, Front-end group using cutting-edge technologies like React, Mobile team in implementing iOS and Android apps, or our Full-stack teams who seek engineers interested in doing it all.

We find it immensely satisfying to develop products that impact the lives of millions, and we are eager to have you join our team.

This position requires you to be in our Raleigh, NC, area office. H1B sponsorship is available for this position. #LI-EM1 

WHAT YOU'LL BE DOING

As a Software Engineer, you will build the back-end wiring, application logic, and UI that engage our users. You will find and use the best technologies to add features and create new products. You’ll be involved in all aspects of the development process – including design, coding, testing, debugging, and tuning. You will own your projects from start to end as they travel through our fast-paced development cycle. In addition to working with your fellow engineers, you’ll collaborate with other teams to design amazing products that meet the needs of our users, who are students and teachers all over the world.

TECHNOLOGY

Our server-side stack currently includes Linux, Apache, Java, Scala, Python, and Oracle. For our iOS app development, we use Swift. Our front-end code is written in JavaScript (including the React and D3 libraries, and ES6). Of course, the specific technologies and languages you use will vary by project and according to your own interests or specialization areas.

WHAT WE'RE LOOKING FOR

• Bachelor's or advanced degree in computer science or a related discipline
• Excellent programming skills
• Strong analytical-reasoning and problem-solving skills
• Ability to work both independently and with a wide variety of teams
• Knowledge of Unix, Python, Java, SQL, or JavaScript is a plus
• Passion for improving education through technology

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 

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

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

Overview

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

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

Responsibilities

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

 Travel Required  

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

We believe in transparency and fairness in our compensation practices.

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

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

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

 Benefits 

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

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

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

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 self-starting, detail-oriented Pricing Analyst to elevate our global pricing strategy through rigorous analysis and clear, executive-ready reporting. You’ll build and automate pricing visibility tools and applications using Snowflake/SQL, Python, and Excel/Google Sheets, monitor market and traffic trends, and translate data into actionable recommendations for leadership, the Global Pricing team, and Deal Desk on large deals and RFPs. The ideal candidate has 2–3 years in pricing or data analytics, strong Excel, SQL/Snowflake, and Python skills (reporting tools like Sigma; Streamlit a plus), and a track record of extracting insights from large financial datasets. Exceptional communication, collaboration, and attention to detail are essential; telecom experience is preferred but not required.

What You'll Do:

• Develop and enhance pricing analytics using Snowflake/SQL, Python, Excel, and Google Sheets.
• Build, automate, and maintain applications for pricing visibility for leadership.
• Present findings and recommendations to the Global Pricing team.
• Perform ad hoc analysis, including pricing and traffic analysis, for strategic initiatives.
• Analyze market trends and performance to recommend pricing adjustments.
• Collect, organize, and maintain pricing intelligence through scalable databases.
• Partner with the Global Pricing Team and Deal Desk on large deals and RFPs.
• Monitor daily, weekly, and monthly trends, tracking changes and communicating actionable insights.
• Manage Snowflake databases and SQL queries to ensure data integrity and accessibility.

What You Need:

• Education:   
  • Bachelor’s degree in business, economics, analytics, statistics, or a related field.
• Experience: 
  • 1–3 years of experience in pricing or data analytics.
• Knowledge:  
  • High proficiency in Microsoft Excel; experience with Python, SQL/Snowflake, and reporting tools (e.g., Sigma). Streamlit knowledge is a huge plus.
• Skills:
  • Strong aptitude for analytics with a track record of extracting value-added insights from large financial datasets.
  • Exceptional attention to detail and follow-through.
  • Excellent written and verbal communication skills; quick to absorb and synthesize information.
  • Strong critical thinking, problem-solving, and organizational skills.
  • Ability to collaborate effectively with other teams.
  • Prior telecom experience preferred, but not required.

The Whole Person Promise:

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

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

Who We Are:

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

What We Are Looking For:

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

Position Overview

ATLAS SP is seeking a Risk Technology (VP, Data & Enterprise Services) to join our Data & Enterprise Services team. This is a senior hands-on engineering role focused on delivering high-quality technology solutions supporting Market Risk, Credit/Counterparty Risk, and enterprise risk reporting.

The individual will work closely with the Risk Management organization, Front Office, and global technology teams. The VP shall understand how risk metrics are produced, validated, and consumed, and be able to analyze, and troubleshoot risk reporting issues.

This role requires strong SQL, Python, and data engineering skills, along with familiarity with market and credit risk concepts across bonds, derivatives, structured products, and loan portfolios. This is a senior individual contributor position with high ownership.

Primary Responsibilities

• Serve as the senior technical partner to Market Risk and Credit Risk teams, focusing on data and platform solutions
• Perform hands-on development in SQL and Python to support risk data pipelines, analytics, reconciliations, and reporting workflows.
• Support daily, weekly, and monthly risk reporting cycles, ensuring accuracy, completeness, and timely delivery.
• Validate and troubleshoot risk reporting issues using market data, pricing inputs, and risk factor mappings.
• Collaborate with onshore and offshore teams to enhance data quality, lineage, and reporting controls.
• Drive improvements in automation, data validation, transparency, and modernization of risk processes.

Required Qualifications and Experience

• Minimal 5+ years of hands-on technology experience supporting Market Risk, Credit Risk, or trading/risk data environments.
• Strong SQL skills (Snowflake, SQL Server, or equivalent) for analytics, modeling, and performance optimization.
• Python experience for data processing, analytics, and automation.
• Experience integrating market data, pricing data, and risk factor inputs into analytical or reporting systems.
• Hands-on experience building or supporting ETL pipelines, reconciliations, data validation checks, and reporting workflows.
• Familiarity with risk metrics such as DV01, stress testing, scenario analysis, and credit exposure concepts.
• Excellent communication skills, with ability to partner with Risk Management, Front Office, and other engineer teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative discipline.

Preferred Qualifications and Experience

• Experience with risk platforms, pricing engines, or market data systems.
• Familiarity with structured credit or whole loan analytics.
• Experience working with cloud platforms such as Azure or Snowflake.
• Understanding of credit and market risk regulatory frameworks.
• Strong curiosity and willingness to dive deeply into data, calculation methodologies, and risk processes.

Base Salary Range

$150,000 - $210,000

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:

Bandwidth is seeking a data-driven, collaborative, and detail-oriented individual to join the Messaging Product Operations team. The Product Analyst will focus heavily on recurring and ad hoc reporting, data analysis, and transforming data into insights that improve operational efficiency. This role blends technical skills with knowledge management, the ability to communicate findings clearly, and work effectively with teams across the organization. A successful Product Analyst involves a career path with promotional opportunities into Product Management, Business Operations, or further advancement within Product Operations.

As a Product Analyst at Bandwidth, your primary focus will be using data to support and optimize Messaging product performance and improving operational efficiency. You will build and maintain reporting, identify operational opportunities through analysis, and help create scalable internal processes and tools. While the role is technical, you will also collaborate with internal teams to share insights and support product readiness in a clear and approachable way. You may also be asked to contribute to Messaging’s knowledge management through documentation and collaborating on internal and external communications.

What You'll Do:

• Data Reporting and Analysis – Own recurring and ad hoc reporting related to product performance, operational metrics, and customer usage. Use Excel and SQL to extract, clean, and analyze data, and present findings to stakeholders in ways that inform product and operational decisions. Data will primarily be pulled from our data warehouse, Snowflake, and reported through spreadsheets, slide decks, or visuals in our BI tool (Sigma).
• Improve Operational Processes – Use data to identify inefficiencies or gaps in internal processes. Contribute to the development of workflows that support product launches, issue identification, ongoing product health and operational readiness. Support automation opportunities when identified.
• Build Operational Tools and Dashboards – Create spreadsheets, reporting templates, and dashboards that provide visibility into product and operational performance. 
• Collaborative Insights Sharing – Communicate insights and patterns from data to internal teams in a way that is understandable to both technical and non‑technical audiences. Build relationships with partners in Product, Engineering, Operations, and Finance to ensure shared understanding and alignment around findings.
• Issue Investigation – Analyze product‑related data to understand trends, identify root causes, and highlight opportunities for improvement.
• Be a great communicator - work well with customers and internal teams. Have proven written, verbal and listening skills to help solve complex problems using tact, common courtesy, persuasion and discretion.
• Develop subject matter knowledge in Messaging products and the supporting ecosystem.
• Contribute to internal and external knowledge management with a focus on documentation for data workflows, reporting processes, and analysis methods. 
• Be a great team member, partner with Bandmates to effectively communicate, ask insightful questions, align resources, prioritize work, and identify themes or patterns to persistently and proactively provide self-service solutions whenever and wherever possible.

What You Need:

• Education:
  • Bachelor’s degree
• Experience:
  • Entry level
• Knowledge:
  • Proficiency in Excel, including pivot tables, lookup functions, formula building, and data manipulation
  • Proficiency in SQL, including querying, filtering, joining, and aggregating data
  • Ability to transform raw data into insights and presentations that support operational and product decisions
  • Strong skills in spreadsheets, documentation, and presentation building
  • Ability to work with high accuracy in a fast‑paced environment while managing multiple tasks
  • Strong analytical, problem‑solving, and organizational skills with attention to detail
  • Critical thinker with a solution‑oriented approach
  • Strong written communication skills with the ability to clearly summarize data findings, including the ability to adapt based on audience
  • Ability to build positive working relationships across teams

Bonus Points:

• Skills:
  • Familiarity with Python

The Whole Person Promise:

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

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

Who We Are:

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

What We Are Looking For:

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 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.

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

The Role:

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

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

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

The work you’ll do:

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

The qualifications you need:

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

Preferred:

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

#LI-DB5

Delivering Customer Success is an important focus for Dataiku. As a Customer Success Engineer (CSE) within our Solutions Engineering team, you’ll help Dataiku’s customers achieve meaningful outcomes with business analytics, AI/ML, and Gen AI. 

In this technical and consultative customer-facing role, you’ll focus on technical programming to increase adoption through product enablement and one-to-many user engagement. You’ll leverage your understanding of enterprise analytics, high-impact communication abilities, and hands-on data science skills to add business value. This role will also partner closely with cross-functional teams, including Account Executives, Sales Engineers, and Professional Services and Partners to accelerate end-user adoption.

How you’ll make an impact 

• Work closely with Dataiku’s customers, focusing on onboarding, increasing user adoption, retention, and satisfaction.
• Possess deep technical knowledge of the Dataiku platform to educate customers on best practices within the Dataiku platform. 
• Develop a deep understanding of customer business, use cases, and outcomes to guide their success with Dataiku's products and services.
• Execute demonstrations of new product features and conduct hands-on workshops in collaboration with the Sales Engineers. 
• Establish regular touchpoints with customers to advise users on using Dataiku for their specific business needs, including hands-on support as appropriate.
• Execute programs to create self-sustaining enablement and evangelism of Dataiku within customer accounts.
• Collaborate with Account Executives and Sales Engineers to drive customer engagements with the Dataiku platform and identify opportunities for expansion (both software and professional services) that can drive additional value for customers.
• Document and share the adoption status and key information to inform internal forecasting and renewal.
• Collaborate with other Dataiku functions (such as marketing) on capturing and sharing the customer stories publicly. 
• When identifying technical issues that block user adoption, coach administrators and users to initiate support tickets for timely resolution. 
• Stay current on Dataiku’s products, competitive landscape, and data science trends.
• Willingness to travel up to 25%.

What you’ll need to be successful

• Bachelor’s degree in Data Science, Business Analytics, Statistics, Computer Science, or a related technical field.
• Minimum of four years of experience in sales engineering, technical or solutions consulting, post-sales technical delivery, or data science roles with a proven track record of customer trust and satisfaction.
• Strong written and oral presentation skills, capable of engaging both business and technical stakeholders.
• Strong technical, analytical, and problem-solving skills.
• Experience in building and operating communities of practice.
• Ability to navigate ambiguity, build consensus, foster accountability, and work with urgency to deliver customer outcomes.
• Ability to tailor messaging to personas with varying levels of technical acumen, including no-code and high-code users
• Dataiku advanced designer, Snowflake SnowPro Core and Databricks Business Analyst certifications preferred (not required).
• Preferably located within the Northeast region of the United States. 

What will make you stand out

• Never-ending intellectual curiosity, detail-oriented, and analytical.
• Hands-on experience with data storage and computing infrastructure (SQL, Kubernetes, etc.) and proficiency with Python, R, SQL
• Knack for public speaking with appreciation for engaging with all levels of customer teams, from individual contributors to leadership.
• Passion for technology, the data and analytics space, and enjoyment learning new solutions, features, and functionalities, translating these into business value for customers.
• Experience in Analytics/AI or other enterprise software (preferred but not required).

About the role

As a Senior Mission Manager, you will serve as a senior mission-facing leader responsible for driving program-based adoption of Vannevar Labs’ technology within government program offices. You will work closely with PEOs, PMWs, and program managers to shape pilots, scope capabilities, and convert demonstrated mission value into funded programs. This is a highly autonomous role that requires deep mission credibility, strong technical intuition, and the ability to operate effectively in ambiguous, early-stage program environments. 

What you’ll do

• Lead engagements with program offices (PEOs, PMWs, PMOs, and equivalent organizations) to identify mission problems that Vannevar Labs’ technology can solve.
• Translate program needs into technical narratives, clearly explaining how our software and agent-based capabilities map to requirements, constraints, and outcomes.
• Scope and shape program-based pilots, defining objectives, success criteria, timelines, and pathways to scale.
• Pitch the technology with credibility, leveraging your mission and domain background to build trust with program managers and technical authorities.
• Navigate programmatic realities, including requirements development, budgeting cycles, contracting pathways, and stakeholder coordination.
• Partner closely with product managers and engineers to ensure mission context is accurately reflected in technical scope, tradeoffs, and delivery plans.
• Convert successful pilots into sustained programs, helping program offices justify follow-on funding and broader adoption.
• Represent Vannevar Labs within the program ecosystem as a mission-credible, technically fluent partner.

What we’re looking for

• 15–20+ years of experience in government or defense missions, typically as a retired O5/O6 or senior enlisted or civilian equivalent
• Deep expertise in a specific mission or technical domain (e.g., cyber, information warfare, ISR, networks, operational intelligence, warfare systems/command and control).
• Strong ability to scope, pitch, and sell technical solutions to senior government stakeholders — not just explain missions, but connect them to software capabilities.
• Proven experience navigating programmatic realities, including budgets, requirements, authorities, timelines, and stakeholder dynamics.
• Sufficient technical fluency to:
  • Understand modern software systems and agent-based approaches
  • Partner effectively with product and engineering teams
  • Translate complex concepts into clear, mission-relevant narratives
• Demonstrated scrappiness and bias toward action — comfortable operating in ambiguity and pushing programs forward without perfect structure.
• High enthusiasm for building something new and shaping how cutting-edge technology is adopted inside government.
• Bonus of having acquisition, resource sponsor, or program manager experience.

What we value

• Mission-first mindset with a focus on real operational outcomes.
• Technical credibility paired with humility — able to learn quickly and ask the right questions.
• Clarity and precision in communication, especially with senior leaders.
• Ownership mentality — taking responsibility for moving programs from idea to execution.
• Low ego, high trust, and comfort collaborating across product, engineering, and mission teams.

What we offer

Competitive Salary

The salary range for this position is $180,000 - $220,000 + equity. Within the range, individual pay is determined by experience, relevant education, and/or training.

Comprehensive Benefits

• Health, dental, and vision insurance
• Remote friendly with WeWork access
• Unlimited PTO, shared downtime during the federal holiday calendar, and company-wide off time at the end of each year
• 401(k) match
• Lifestyle & wellbeing stipends
• Salary top-up during military reserve duty
• Fully paid parental leave
• Child and pet care reimbursement during travel

The Team:

Celonis Support Services team operates a 3-Level Support model, which includes a dedicated highly-trained team of Celonis experts located in our Celonis Support Center. Our support engineers are familiar with the everyday challenges organizations face when deploying Celonis software and can quickly diagnose and support the questions regarding product-related issues our customers face, and provide technical support for Celonis On-Premise and Cloud-based Execution Management System products. You will report directly to the Team Lead Customer Support and ideally you will be based in Washington, DC.

The Role:

As part of the 2nd Level Support Team you will take over the technical support (remote) of our global customers and partners for all questions related to our software. You will form the interface between our customers, partners and our customer success & delivery, development and product management organization. We are looking for someone eager to become an expert in Celonis Process Intelligence Software and to grow our Customer Support organization in our Raleigh office.

The work you’ll do:

• Provide 2nd Level Support for Customer using Celonis On-Premise and Intelligent Business Cloud products
• Named technical contact for Premium Support Customers
• Accept, qualify, drive,  and resolve complex Tickets, which have been forwarded or escalated to 2nd Level, according to our ITSM processes
• Qualify problems or defects for handover and collaboration with 3rd Level
• KPI adherence based on external Service Level Agreements and Organizational Level Agreements
• Participate and drive regular Root Cause Analysis (RCA) cycles to improve our Support Knowledge base
• Prepare and deliver Webcasts to customers and support staff on selected technical topics
• Collaborate with customers based on given and preferred communication channels
• Contribute to Continual Service Improvement (CSI) cycles and initiatives of Celonis and Celonis Support Organization.
• Coverage of on-call rotations as part of the global team.

The qualifications you need:

• You hold a Bachelor of Computer Science or related degree
• Role requires and active Government Clearance (Public Trust, Secret or Top Secret) with 18 months - 2 years of remaining eligibility
• Have a minimum 6 years of proven 2nd Support Level experience in handling international customer inquiries in consideration of Service Level Agreements.
• Demonstrated use of AI in support administration, troubleshooting, documentation etc.
• Proficient in at least one programming language e.g. Java, or in a scripting language e.g. Python
• Have experience with database systems (SAP HANA, Oracle, MS SQL Server)
• Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments
• Have senior customer communication and handling skills 
• Strong customer service focus
• Passionate about topics like Execution Management, Process Mining, Big Data, Data Lake

Visa sponsorship is not offered for this role.

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.

We are seeking a Mid-Level Avionic Software Engineer with hands-on experience developing safety-critical aerospace software in accordance with DO-178 standards, typically at Design Assurance Level (DAL) A or B. The ideal candidate has 5–8 years of experience and is comfortable contributing across the software lifecycle, from requirements and implementation to integration and verification, within a highly regulated engineering environment.

Responsibilities:

• Contribute to the design, development, implementation, and verification of embedded avionic software in compliance with DO-178C (DAL A or B).

• Implement and optimize software components and algorithms for constrained, real-time embedded environments.

• Support system integration activities by collaborating with systems, hardware, and test engineering teams.

• Participate in defining software architecture and interface requirements, ensuring traceability and adherence to aerospace standards.

• Perform and participate in formal design and code reviews to ensure safety, quality, and regulatory compliance.

• Assist with hardware bring-up, low-level debugging, and troubleshooting using tools such as oscilloscopes, logic analyzers, and protocol analyzers.

• Work with embedded communication protocols (e.g., CAN, SPI, I2C, ARINC 429, MIL-STD-1553) to ensure reliable system interactions.

Qualifications;

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline.

• 5–8 years of experience in embedded software development within aerospace or other safety-critical industries.

• Direct experience working with DO-178C development, verification, and certification processes (DAL A or B strongly preferred).

• Proficiency in C and/or C++, with familiarity in Python or other scripting languages for test or automation tasks.

• Solid understanding of embedded systems design, RTOS concepts, timing constraints, and low-level hardware interfaces.

• Ability to work fully on-site in Raleigh, North Carolina.

Salary Range: $100,000 - $130,000 

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

**Due to the nature of the work, only US Persons (citizens or permanent residents) need apply for this position**

Position Summary

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

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

Key Responsibilities

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

Required Qualifications

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

Preferred Qualifications

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

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

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 VoIP Engineer with a modern engineering mindset to join Bandwidth's Network Operations team. While you possess deep expertise in SIP and carrier-grade environments, you view infrastructure through the lens of Software Reliability Engineering (SRE). This role is critical for ensuring reliable, secure, and automated SIP connectivity across multiple carrier platforms and enterprise environments.

What You'll Do:

• Platform Automation: Design and implement automation to reduce operational burden, replacing manual workflows with scripting and Infrastructure as Code (IaC).
• Voice Orchestration: Use tools like Ansible/AWX and Terraform to automate the provisioning and scaling of voice services and carrier interconnects.
• Open Source & Interoperability: Conduct detailed interoperability testing between carrier platforms and open-source SIP implementations (e.g., Kamailio, OpenSIPS), resolving signaling mismatches and codec issues.
• Carrier Interconnect Strategy: Design and maintain SIP trunking solutions with multiple carriers to ensure reliability, compliance, and optimal routing.
• Advanced Observability: Act as the highest-level escalation point for complex SIP/RTP problems. Use advanced tools like Wireshark, SIPp, and HEPIC/Homer to analyze call flows and media streams.
• System Integration: Collaborate with network and security teams to integrate SIP services through proxy servers and modern routing policies.
• Documentation & Mentorship: Maintain "Documentation as Code," including SIP call flow diagrams and interconnect standards, while providing guidance to junior staff on modern troubleshooting methodologies.

What You Need:

• Experience: 5+ years of hands-on VoIP engineering experience, with a heavy emphasis on carrier-grade SIP environments.
• SIP Mastery: Expert-level knowledge of SIP signaling (INVITE, BYE, etc.), SDP negotiation, and RTP/RTCP.
• Automation Toolkit: 3+ years of proficiency in Python, Bash, or Ansible for automating provisioning and troubleshooting workflows.
• Infrastructure as Code: Experience using IaC tools to manage infrastructure at scale.
• SIP Proxies: Hands-on experience with open-source SIP proxies (e.g., Kamailio, OpenSIPS) alongside traditional SBCs (e.g., Ribbon, Oracle/Acme Packet).
• Linux/OS: Strong Linux administration skills for VoIP application performance and system troubleshooting.
• Diagnostics: Proficiency with diagnostic tools such as Wireshark, sngrep, and Homer/HEP.

Bonus Points:

• Carrier Expertise: Direct experience with carrier-to-carrier SIP interconnects and SS7-to-SIP interworking.
• Routing & Databases: Experience with ENUM, LNP, and complex routing logic.
• Voice Security: Familiarity with TLS, SRTP, and regulatory compliance including STIR/SHAKEN and E911.
• Cloud Infrastructure: Experience deploying voice services in containerized or cloud-native environments.
• Networking: Solid knowledge of IP, DNS, and routing protocols.

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.

CSQ127R318

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

The impact you will have:

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

What we look for:

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

The Team:

Celonis Support Services team operates a 3-Level Support model, which includes a dedicated highly-trained team of Celonis experts located in our Celonis Support Center. Our support engineers are familiar with the everyday challenges organizations face when deploying Celonis software and can quickly diagnose and support the questions regarding product-related issues our customers face, and provide technical support for Celonis On-Premise and Cloud-based Execution Management System products. You will report directly to the Team Lead Customer Support and ideally you will be based in Washington, DC.

The Role:

As part of the 2nd Level Support Team you will take over the technical support (remote) of our global customers and partners for all questions related to our software. You will form the interface between our customers, partners and our customer success & delivery, development and product management organization. We are looking for someone eager to become an expert in Celonis Process Intelligence Software and to grow our Customer Support organization in our Raleigh office.

The work you’ll do:

• Provide 2nd Level Support for Customer using Celonis On-Premise and Intelligent Business Cloud products
• Named technical contact for Premium Support Customers
• Accept, qualify, drive,  and resolve complex Tickets, which have been forwarded or escalated to 2nd Level, according to our ITSM processes
• Qualify problems or defects for handover and collaboration with 3rd Level
• KPI adherence based on external Service Level Agreements and Organizational Level Agreements
• Participate and drive regular Root Cause Analysis (RCA) cycles to improve our Support Knowledge base
• Prepare and deliver Webcasts to customers and support staff on selected technical topics
• Collaborate with customers based on given and preferred communication channels
• Contribute to Continual Service Improvement (CSI) cycles and initiatives of Celonis and Celonis Support Organization.
• Coverage of on-call rotations as part of the global team.

The qualifications you need:

• You hold a Bachelor of Computer Science or related degree
• Role requires and active Government Clearance (Public Trust, Secret or Top Secret) with 18 months - 2 years of remaining eligibility
• Have a minimum 6 years of proven 2nd Support Level experience in handling international customer inquiries in consideration of Service Level Agreements.
• Demonstrated use of AI in support administration, troubleshooting, documentation etc.
• Proficient in at least one programming language e.g. Java, or in a scripting language e.g. Python
• Have experience with database systems (SAP HANA, Oracle, MS SQL Server)
• Goal-oriented, independent, and structured approach to the analysis and solution of complex problems in virtual and cloud-based environments
• Have senior customer communication and handling skills 
• Strong customer service focus
• Passionate about topics like Execution Management, Process Mining, Big Data, Data Lake

Visa sponsorship is not offered for this role.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement and support expertise. 

The Role:

As a Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning.

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate

Monitor and enable

• Manage customer expectations and project planning
• Demonstrate and train customers users (set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• 7+ years working experience in IT-Consulting, Solution/Data Consulting or Process Improvement Consulting, within Software Vendors, Consulting firms or System integrators
• Demonstrated ability to translate business requirements into technical solutions (Data models)
• You are knowledgeable of data related languages (SQL required, other programming languages such as Python are a plus...)
• A strong appetite for value driven approaches (KPIs definition, business case calculations, value realization approaches) and Data topics (Big Data, Data Mining, and Process Mining)
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a strong plus.
• Willing to develop a strong expertise on a solution through a continuous learning approach
• Strong consulting skills and enjoy interacting with various customers (Business workshops up to solution demonstrations)
• Excellent analytical skills, well-organized and you are known for being a quick learner
• Fluency in English
• Bachelors or Masters in: Technology Management, Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

Visa sponsorship is not offered for this role.

The Team:

Celonis Services is a strategic services organization that focuses on the technical aspects of our customers' journeys, which includes Consulting Services, Academy and Customer Support. We are thought leaders with deep product, technical and domain expertise and focus on delivering Celonis implementations and driving product adoption for our customers. We achieve this by bringing together our best practices, delivery experience, award-winning enablement, and support expertise.

The Role:

As a Senior or Lead Consultant, you lead our agile project teams to accelerate our customers’ digital transformation and drive Celonis’ international expansion. You identify our customers’ strategic priorities and lead your project team towards developing data-driven process insights and actions to ensure that customers receive maximum value. You always leverage the newest features and functionalities of the Celonis software, such as Process Automation, Task Mining and Machine Learning. 

The work you’ll do:

Initiate 

• Conduct Business workshops to translate customers' strategic objectives into high-impact Celonis use cases
• Coordinate with Data Operations team from Celonis to connect our solution to the customer IT environment (data extractions)

Implement

• Lead the Celonis implementation project to ensure the optimal solution to tackle the defined use cases (Data modelling, Data transformations, Process analysis building, KPIs building)
• Use our Celonis technology to identify process inefficiencies and understand the root causes, always in close collaboration with the customer

Adopt 

• Lead the value creation workshops and define measures to improve process inefficiencies
• Define the most relevant KPIs measuring the customer’s success
• Quantify the business and financial potential and present the findings to the management
• Automate tasks to drive value and improve the process conformance rate

Monitor and enable

• • Manage customer expectations and project planning
  • Demonstrate and train customers users (set the foundation of the path to value to make the long-term customer success journey happen

The qualifications you need:

• (Senior) 4+ years working experience in IT-Consulting, Solution/Data Consulting or Process Improvement Consulting, within Software Vendors, Consulting firms or System integrators
• Demonstrated ability to translate business requirements into technical solutions (Data models) 
• You are knowledgeable of data related languages (SQL Required)
• Highly Preferred: Good knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies.
• A strong appetite for value driven approaches (KPIs definition, business case calculations, value realization approaches) and Data topics (Big Data, Data Mining, and Process Mining)
• General understanding of companies business processes and related financial metrics and are willing to learn in this area. Knowledge of standard ERPs (SAP and related business processes (Order to cash, procure to pay…) is a strong plus. 
• Willing to develop a strong expertise on a solution through a continuous learning approach
• Strong consulting skills and enjoy interacting with various customers (Business workshops up to solution demonstrations)
• Excellent analytical skills, well-organized and you are known for being a quick learner
• Fluency in English
• Bachelors or Masters in: Technology Management, Business Informatics, Computer Science, Information-oriented Business Administration/ Economics, Mathematics or a comparable degree program

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

Who We Are:

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

What We Are Looking For:

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

What You'll Do:

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

What You Need:

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

Bonus Points:

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

The Whole Person Promise:

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

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

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

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

Why Start Your Career at Relay?

• Work at the Edge of Innovation: We just secured our 100th patent. You’ll work with technologies spanning AI-driven noise suppression, real-time language translation, and advanced IoT connectivity.
• Massive Scale: Be part of a platform that processes over 1 billion data points every week. Our tech isn't just "cool"—it’s essential infrastructure for the global economy.
• LIT Culture (Learning, Impact, Teamwork): We pride ourselves on an environment where early-career professionals have a seat at the table and see their work impact global brands immediately.
• Hyper-Growth Trajectory: 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.
• 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? 

Join us in Raleigh and let’s get LIT.

This role will be based in our Raleigh, North Carolina HQ, and we work in a hybrid model with 3 days (M, W, F) in the office, with a high in-office culture.

At this time, Relay is unable to provide sponsorship for employment. To be considered for employment, applicants must be currently legally authorized to work in the US and not require future sponsorship to continue working for Relay.

What you will do:

• Verify new and existing features in the Relay App and Relay Dashboard Web interface
• Assist in end-to-end testing with Relay Device and server-side components
• Demonstrated experience authoring test cases and writing acceptance tests for developed features
• Participate in Sprint planning and design sessions
• Work with the project team to understand requirements for new projects
• Ability to perform in-depth analysis, including log examination and querying data
• Ability to prioritize test cases to provide the best test coverage
• Works well cross-functionally in a small, dynamic team
• Effectively analyze, communicate and confirm the resolution of defects
• Document test methodologies, tools, and results

Knowledge, skills, and experience needed:

• Analytical approach to problem-solving
• Understand Agile concepts and QA process (Functional test/regression/Smoke test/etc)
• Familiar with Android Debug Bridge (ADB) and device logging tools
• Proactive communicator - you should be able to communicate effectively with developers and the QA team to understand a feature/defect, and evaluate and communicate testing status 
• Ability to multitask and find the next priority item to work on
• Extremely comfortable using Linux (managing files, grep, cat, bash, vim, etc)
• Ability to develop and debug automated test scripts
• Python or other coding experience a plus
• Hungry to learn and grow
• Associate's degree or higher level of educational attainment required or equivalent experience 
• 1-3 years Testing experience with Android, iOS, Web/Desktop, Networking, or similar

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
• Free Snacks and Fun Times
• 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. 

Edged IQ has an exciting opportunity for a Forward Deployed Intern to take part in our Summer Internship Program. If you’re passionate about sustainability and eager to be part of a company that’s on a journey to transform the world’s infrastructure, this may be the internship for you!

The Forward Deployed Intern is a vital member of Endeavour’s Edged IQ's team, working directly with the Director, Asset Intelligence and focusing on applying technology solutions to the development of the TurboCell product. The Forward Deployed Intern needs to be agile, professional, and comfortable in a rapidly changing environment. The right person is trustworthy with confidential information, highly organized, self-motivated, can think strategically, and works equally as well independently as with a team.

Key responsibilities include but are not limited to:

•    Assist with building an operational information model for the TurboCell product.
•    Read and interpret engineering documentation and drawings 
•    Assist with deploying and commissioning monitoring solutions for TurboCell assets at test facility.
•    Document deployments, configurations, and troubleshooting steps in playbooks and runbooks
•    Run basic data checks on sensor streams (vibration, temperature, pressure, speed, energy).
•    Assist with gathering use cases and user stories for engineering and service teams. 
•    Support building and validating dashboards and reports for engineering and service teams.
•    Assist with developing and testing simple analytics or anomaly detection.

Skills & Requirements

Education / Experience

•    Pursuing an Undergraduate degree in one of the following fields: Engineering (Mechanical, Electrical, Industrial), or a related field.
•    Previous experience with Power Generation Systems a plus.
•    Previous experience with industrial systems, control systems, or IoT a plus 

Specific Skills / Abilities

•    Strong communication skills and comfort working with field, engineering, and technology teams.
•    Willingness to learn industrial protocols (OPC UA, Modbus, MQTT).
•    Willingness to learn turbomachinery and mission-critical equipment. 
•    Able to read and interpret engineering & construction drawings and specifications. 
•    Strong interest in data, industrial automation, reliability engineering, or digital twins. 
•    Basic programming skills in Python, DAX or another scripting language.
•    Exposure to industrial systems, IoT, or cloud platforms (Azure/AWS/GCP) a plus.

About Edged

Edged is a fast-growing global network of carbon neutral, zero-water data centers that lead the industry in energy efficiency. The Edged platform is backed by a deep technology stack including advanced waterless cooling, renewable microgrid systems, ultra-clean generators and waste-to-fuel solutions. The platform is designed for rapid deployment and currently has more than a dozen major projects in construction worldwide, with many more in development.

Position: Forward Deployed Intern, TurboCell
Full-Time or Part-Time: Full-Time
Reports to: Director, Asset Intelligence
Location: Hybrid, able to be in Raleigh, NC 2 days/week

Contact: internships@endeavourii.com

Position Overview

ATLAS SP is seeking a VP, Finance Technology to join the Data & Enterprise Services team. This is a senior, hands-on role focused on technology solutions supporting fund accounting, financial reporting, and finance operations.
The individual will work closely with Finance and Operations teams to automate accounting workflows, improve data quality, and enhance the reliability and control of finance systems and reporting.
The role requires a hands-on technologist with strong business analysis skills, responsible for finance platforms and data pipelines supporting NAV, investor reporting, expense allocation, risk-related reporting, and legal-entity P&L.
This is an individual contributor role with significant ownership and delivery responsibility.

Primary Responsibilities
    
•    Build and support technology solutions for fund accounting, expense allocation, P&L reporting, fee calculation, and financial risk reporting.
•    Design and maintain data integrations, pipelines, and reconciliations across finance, operations, and external systems.
•    Work closely with third-party application teams and vendors to perform system integrations and onboard external platforms into the firm’s finance ecosystem.
•    Partner with Finance and Operations teams to translate accounting processes and requirements into scalable technical solutions.
•    Operate as a hands-on technologist with strong business analysis skills, owning solution design and delivery.
•    Collaborate with other engineers and maintain strong documentation and release discipline.

Qualification and Experience

•    5+ years of experience in Finance Technology or related roles within financial services or asset management.
•    Strong understanding of fund accounting and financial reporting concepts, including NAV, P&L, balance sheet, expense allocation, and fee calculations are plus.
•    Working knowledge of FIS Investran or similar loan servicing and accounting platforms is a plus. 
•    Strong SQL experience (e.g., Snowflake, SQL Server, or equivalent), including data modeling and ETL development.
•    Hands-on programming experience in .NET (C# preferred) and Python for building production-grade applications, data processing, and automation are desired
•    Experience designing and supporting system integrations with third-party applications and external vendors.
•    Proven ability to build reconciliation frameworks and data controls across accounting and reporting data sets.
•    Strong business analysis skills, with the ability to translate accounting and operational requirements into technical solutions.
•    Solid problem-solving and troubleshooting skills across complex, multi-system data flows.
•    Excellent communication skills, with the ability to work closely with Finance, Operations, and technology partners.
•    Bachelor’s degree in computer science, Engineering, Finance, Accounting, or a related field, or equivalent practical experience.

N/A

Position Overview

ATLAS SP is seeking a Senior Software Engineer to join our growing technology team and play a key role in building systems that power our core operations and accounting functions. This individual will work closely with business partners to design and deliver cash management platforms, warehousing systems, and data management solutions critical to the firm’s success. As part of a highly experienced development team, the Senior Software Engineer will collaborate with fellow technologists to build scalable, resilient systems to support the growth of the firm.

Primary Responsibilities

•    Design, code, test, and deploy enterprise software and scripts to support operations, product control, and accounting
•    Collaborate with the business and development teams to understand our data and processes
•    Partner with financial professionals on creating flexible systems that are both stable and provide transparency of business logic 

Required Qualification and Experience

•    5+ years of experience in technical roles in financial services
•    Relevant university degree
•    Experience in object-oriented programing and relational databases 
•    Experience with fixed income
•    Excellent oral and written communication skills
•    Ability to work well independently as well as collaboratively
•    Results oriented and commercial
•    Understanding of REST APIs and software design principles 

Preferred Qualification and Experience

•    Professional Experience with Python/Pandas 
•    Experience with mortgage finance or credit markets
•    Excel power user

N/A

“Please note, this isn't a software engineering role. As a Solution Engineer, you'll dive deep into our customers' needs, crafting innovative, end-to-end solutions using the Instabase platform. If you're passionate about blending tech with customer success, this is the role for you!”

Our Solution Engineering Team is the foundation of our customer’s experience and success with Instabase. This founding team will develop custom end-to-end solutions to the most critical and strategic NP-hard problems for our customer’s operations and build apps on the Instabase AiHub platform.

As a Solutions Engineer, reporting into Instabase Professional Service Organization,

• You’ll play a massive role in supporting the largest global enterprise as we expand into new sectors/industries.
• You’ll grow alongside and architect new solutions. You’ll use Instabase AIHub platform to solve AI use cases that are fundamental to extend our library of apps, incorporating custom requests/input from our customers. 

What you’ll do:

• Provide technical expertise in the post-sales process, outlining the value proposition, clarifying technical requirements, and answering Instabase related questions
• Deliver an exceptional post-sales customer experience
• Collaborate with customers to understand their business requirements, design and build customized solutions on the Instabase platform using Prompt Engineering and python scripting
• Work with APIs and databases to integrate with other systems and technologies
• Develop and implement production-grade solution within the customer’s environment
• Assist in troubleshooting and resolving technical issues that may arise during the implementation process
• Provide technical training and support to customers and team members
• Stay up-to-date on Instabase features, Machine Learning, LLMs, Python, APIs, and databases
• Solicit constant feedback on their work from both customers and colleagues, improving our products over time with rapid iteration cycles
• Collaborate closely with the Product, Engineering, Sales, Solutions Architecture and Customer Success teams to ensure a seamless customer experience

About you:

• Proficiency in prompt engineering, demonstrating accountability to build, improve, and optimize prompts.
• Experience in requirements gathering, scoping, technical documentation and developing technical solutions by collaborating with customers
• Experience in Python scripting
• Experience with APIs and databases, such as RESTful APIs, SQL, NoSQL, and MongoDB
• Experience in working on the Instabase platform or similar automation platforms
• Excellent problem-solving skills and ability to troubleshoot technical issues
• Possess exceptional presentation and communication skills, particularly when engaging with executives and leaders
• Ability to work in a fast-paced environment and manage multiple projects simultaneously
• Strong attention to detail and ability to deliver high-quality work

US Benefits: 

• Flexible PTO: Because life is better when you actually live it!
• Comprehensive Coverage: Top-notch medical, dental, and vision insurance.
• 401(k) with Matching: We’ve got your back for a secure future. 
• Parental Leave & Fertility Benefits: Supporting you in growing your family, your way.
• Therapy Sessions Covered: Mental health matters— 10 free sessions through Samata Health.
• Wellness Stipend: For gym memberships, fitness tech, or whatever keeps you thriving.
• Lunch on Us: Enjoy a lunch credit when you're in the office.

Compensation: For US-based roles: The base salary range for this role is $112,000 to $143,000 + bonus, equity, and US Benefits. The actual pay may vary based on factors such as location, experience, and skills.