About Us:

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

The Role:

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

Responsibilities:

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

Required Skills:

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

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

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

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

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

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

Security responsibilities at Sauce

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

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

 #LI-ONSITE

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

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

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

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

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

About MaintainX

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

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

About the Opportunity

Candidates must be located in the eastern time zone

Contentful strives to build a secure and safe service and commits considerable effort and resources to security. Our Security team supports 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.

THE ROLE

As a Designated Support Engineer (DSE), you will be the technical anchor for our most strategic accounts, ensuring their mission-critical infrastructure thrives on the Everpure Platform. You will bridge the gap between complex technical troubleshooting and relationship management, acting as a trusted advisor who transforms potential disruptions into seamless operations. Joining a team with industry-leading NPS scores, you’ll collaborate closely with Engineering and Account teams to champion customer success and drive product excellence.

WHAT YOU'LL DO

• Drive Account Health and Stability: Act as the primary technical point of contact for named accounts, proactively identifying potential system risks and providing tailored architectural guidance to ensure long-term uptime.
• Orchestrate Complex Resolution: Lead the end-to-end troubleshooting of high-impact cases involving hardware, software, and environmental variables, ensuring a rapid return to service while maintaining professional, concise executive communications.
• Champion the Customer Voice: Represent customer needs in internal engineering reviews and lead high-stakes "hot" escalation calls, translating technical challenges into actionable product improvements.
• Scale Collective Intelligence: Mentor junior engineers through structured coaching and contribute high-quality technical documentation (FAQs/KBs) to the global Support knowledge base.
• Manage Critical Escalations: Own the lifecycle of support tickets from intake to resolution, maintaining accountability for KPIs related to response times and customer satisfaction.

WHAT YOU BRING

• Experience: A minimum of 5 years of experience in a customer-facing and or technical support role
• Technical Troubleshooting Mastery: Demonstrated expertise in diagnosing and resolving complex issues within multi-platform environments, including deep knowledge of operating systems (Linux, Windows, VMware) and Storage Area Networks (SAN).
• Advanced Networking & Infrastructure Savvy: Proficient in troubleshooting Fibre Channel, Ethernet, IP, and iSCSI protocols, with a strong understanding of enterprise server components (CPU, Chipset, Memory) and Hypervisors.
• Consultative Communication: Exceptional ability to translate technical jargon into business-impact language for executive leadership while building trust-based relationships with technical stakeholders.
• Operational Agility: Proven capability to manage multiple high-priority projects and support cases simultaneously, with the flexibility to support weekend, holiday, or on-call rotations as needed.
• Location: We are primarily an in-office environment and therefore, you will be expected to work from the Lehi or Raleigh office in compliance with Everpure’s policies, unless you are on PTO, or work travel, or other approved leave.

#LI-REMOTE

THE ROLE

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

WHAT YOU'LL DO

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

WHAT YOU BRING

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

#LI-ONSITE

THE ROLE:

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

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

WHAT YOU’LL DO:

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

WHAT YOU BRING:

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

#LI-REMOTE

#LI-JL4

THE ROLE

As the lead architect of our AI technical value narrative, you will drive the digital and content strategies that captivate technical leaders and the infrastructure community. You will translate complex AI Factory architectures and high-performance storage differentiators into compelling stories that bridge the gap between enterprise data and intelligence. By distilling the "how-to" of AI data orchestration into clear, differentiated value propositions, you will empower our global sales teams and influence the next generation of data-centric AI innovation.

WHAT YOU'LL DO

• Architect the AI Technical Content Roadmap: Design and execute high-impact technical assets—including deep-dive blogs, interactive digital experiences, and live webcasts—that demonstrate how the Everpure Platform accelerates AI/ML workloads and RAG architectures.
• Pioneer AI Integration Showcases: Own the evangelism of AI capabilities, including Model Context Protocol (MCP) servers, by building demonstrations that show how AI agents securely interact with the Everpure Unified Data Plane.
• Orchestrate the Technical Bill of Materials (BOM): Lead the creation of a high-fidelity "AI toolkit," ensuring Field Sales and Partners have the reference architectures and deployment guides necessary to win in the market.
• Drive Digital Technical Experiences: Execute the strategy for digital showcases on everpure.com, specifically building Pure360 demonstrations and TestDrive environments to allow customers to interact with our virtual sandbox.
• Translate Feature Logic into Market Value: Act as the primary technical liaison between Product Management and Marketing to turn complex features—like DirectFlash efficiency or Evergreen//One for AI—into selling points for infrastructure architects.
• In-Office Collaboration: We are primarily an in-office environment and therefore, you will be expected to work from the office in compliance with Everpure's policies, unless you are on PTO, or work travel, or other approved leave.

WHAT YOU BRING

• Expertise in the AI Lifecycle: Deep technical knowledge of storage and infrastructure combined with a functional understanding of the AI pipeline, including training, fine-tuning, and inference.
• Technical Content Mastery: Proven ability to translate complex engineering concepts into simple, differentiated narratives for technical decision-makers across written, video, and presentation formats.
• Cloud-Native & Data Pipeline Fluency: Proficiency in Kubernetes and containers, specifically how Portworx by Everpure manages data for stateful AI applications, and how to solve "Data Preparation Bottlenecks" with high-throughput storage.
• Hands-on Technical Proficiency: Direct experience with RAG (Retrieval-Augmented Generation), Vector Databases (such as Milvus or Pinecone), and infrastructure protocols including S3 object storage and high-performance networking.
• Collaborative Leadership: Ability to align outcomes across Product, Engineering, and Sales teams to ensure a unified AI story across the entire Everpure portfolio.

Tenstorrent is seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.

This role is hybrid, based out of the United States or Canada near one of our main office locations.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
• Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
• Self-driven professional who independently manages multiple customer relationships from discovery to win.
• Strategic thinker who identifies customer pain points and positions solutions effectively.

What We Need

• 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
• Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
• Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
• Exceptional presentation and communication skills with ability to engage all organizational levels.
• Proven track record of technical wins and managing multiple simultaneous accounts.

What You Will Learn

• How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
• Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
• Direct influence on product development through customer feedback and market insights.
• The complete IP business cycle from evaluation through design win and production success.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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.

SUMMARY

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

LOCATION

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

WHAT YOU’LL DO

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

WHAT YOU’LL BRING

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

BONUS POINTS: 

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

Joining Collibra’s 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 Product & Database Reliability Team

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

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

Database Engineers at Collibra are responsible for

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

You have

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

You are

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

Measures of success

Within your first month, you will,

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

Within your third month, you will,

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

Within your sixth month, you wil,

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

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

Compensation for this role

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

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

Joining Collibra’s Product & Database Reliability Team

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

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

Database Engineers at Collibra are responsible for

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

You have

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

You are

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

Measures of success

Within your first month, you will,

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

Within your third month, you will,

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

Within your sixth month, you will,

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

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

Compensation for this role

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

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

Joining Collibra’s 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.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

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.

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

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

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

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

Overview

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

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

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

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

What You’ll Do

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

An Ideal Candidate Should Have

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

What We Offer

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

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

Think you’re a good fit for this job? 

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

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

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

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

Senior Solutions Engineer, Raleigh, NC

• What you'll do as a Senior Solutions Engineer

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

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

  Specifically, we are looking for you to:

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

  Basic Requirements

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

   

  Examples of one or more desirable skills, knowledge and experience

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

  Other desirable skills areas include:

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

Relay, a Raleigh-based high growth company, is looking to change the way we communicate. We’re on a mission that matters, and we're hiring for a Solutions Engineer who will thrive in a dynamic high-growth environment.

Frontline workers are the lifeblood of our economy, and we're building the cloud platform that makes them better, faster and safer than ever before. Our cloud solution offers a data driven approach to frontline work through real time communications, real time location information and powerful real time data and insights. Here at Relay, we've designed, built and launched an entirely new product category and we're disrupting the handheld radio industry.

The Solutions team is central to our revenue growth and customer value strategy, serving as the technical experts for our most important strategic sales opportunities. Our mission is to design innovative, AI-driven solutions that transform complex business problems, showcase the power of the Relay SaaS platform and its advanced AI capabilities for large prospective clients, and accelerate deals by expertly navigating technical diligence and removing IT or technical roadblocks. 

Position Overview:

As a Solutions Engineer specializing in Frontline Business Transformation, you will be a key technical member on the Solutions team, working directly with prospective and existing enterprise customers. You will leverage deep technical expertise and business acumen to architect and implement sophisticated AI-driven solutions, demonstrating how Relay's platform drives significant business transformation, both pre- and post-sale. You will play a crucial role in the technical pre-sales cycle, from initial discovery and design to hands-on technical POC creation and demo, with a particular focus on pioneering new and emerging AI-powered solutions. You are a trusted technical advisor, adept at handling complex requirements, overcoming objections, and ensuring our most strategic customers derive maximum value and achieve transformative outcomes from our AI offerings by actively participating in their deployment and initial operationalization.

Key Responsibilities:

• Strategic Pre-Sales & Hands-On AI Solution Architecture:
• Partner with assigned Business Development and Enterprise Sales teams to gain a deep understanding of their business goals, complex technical landscapes, and critical pain points, identifying opportunities for AI-driven transformation.
• Design and architect robust, scalable, and innovative AI solutions using our core product suite and APIs, tailored to specific customer needs and demonstrating significant value through AI-powered business process re-engineering.
• Develop and deliver highly customized, compelling product demonstrations and technical presentations that effectively communicate the value and technical feasibility of AI-driven solutions to diverse audiences, including C-suite and IT leadership.
• Lead the development, hands-on implementation, and management of Proof-of-Concept (PoC) solutions to validate technical requirements and showcase the transformative power of Relay's AI capabilities in complex scenarios
• Technical Sales Leader:
• Act as the primary technical contact and trusted advisor to prospective customers during strategic sales cycles, guiding them through technical evaluations and platform deployments.
• Lead and manage the technical diligence process, expertly addressing intricate technical questions, security inquiries (RFIs/RFPs, security questionnaires), and integration challenges related to AI deployments, leveraging internal Security/Support for standard items.
• Proactively identify, address, and overcome technical objections, securing technical validation and buy-in from key customer stakeholders, including IT and leadership, regarding AI solution adoption.
• Provide significant technical contributions to proposals, Statements of Work (SOWs), and commercial negotiations, emphasizing the value of AI-driven transformation.
• Drive the initial implementation and configuration of "emerging solutions" (e.g., initial integrations using new AI APIs or cutting-edge AI models) directly with customers, ensuring successful deployment and initial operationalization.
• Enablement & Knowledge Transfer:
• Meticulously document designed AI solution architectures, including critical configurations, API utilization for AI integrations, and integration points defined during pre-sales.
• Conduct thorough handover sessions to Customer Success and longer-term Implementation/Operations teams for standardized AI solutions, ensuring they have the necessary technical context and design rationale.
• Serve as a point of escalation for implementation and post-deployment teams.
• Provide direct support and optimization for "emerging solutions" until they become standardized and transitionable to Operations.
• Cross-Functional Influence & Enablement:
• Proactively engage and influence cross-functionally to create revenue momentum across Product Management, Operations, Marketing and Sales, specifically focusing on AI and business transformation.
• Synthesize and deliver valuable field feedback to Product Management regarding strategic customer needs for feature gaps, and usability to influence roadmap direction.
• Partner with Operations to develop robust playbooks for onboarding and supporting novel customer solutions.
• Collaborate with Security and Support teams to equip them with the knowledge needed for routine technical and security questionnaires related to implementations.
• Develop technical cheat sheets and one-pagers focused on AI capabilities and business transformation for BD and Enterprise sales teams.
• Collaborate with Marketing on technical content generation (e.g., whitepapers on AI use cases, case studies and conference talks) as needed.

Qualifications:

• Experience (e.g., 1-3+ years) in a customer-facing technical role such as Forward Deployed Engineer, Sales Engineer, or Technical Analyst, preferably within an enterprise software or SaaS environment with a focus on AI, or data science solutions.
• Demonstrated ability to understand complex business challenges and architect sophisticated, AI-driven technical solutions using a SaaS platform's core features and APIs to achieve business transformation.
• Strong experience designing, implementing, and delivering compelling technical demonstrations and presentations focused on AI capabilities and their business impact to both technical and business audiences.
• Experience leading technical diligence processes for AI-driven solutions, including responding to RFPs/RFIs, security questionnaires, and technical objections related to AI.
• Hands-on ability to build, implement, and manage Proof-of-Concept solutions leveraging modern web technologies and AI/ML frameworks.
• Excellent communication, interpersonal, and collaboration skills, with an ability to clearly articulate the value of AI-driven workflows.
• Strong problem-solving skills and the ability to navigate ambiguity, particularly in the evolving AI landscape.
• Experience working effectively with business development and enterprise sales teams and engaging directly with large prospective customers to drive AI adoption and ensure successful initial deployments.
• Ability to translate complex technical AI concepts into clear, understandable language for various stakeholders, including C-suite executives.
• Bachelor's degree in Computer Science, Engineering or a related technical field, or equivalent practical experience.

Travel:

• Up to 50% domestic travel to meet with prospective customers and support sales and initial implementation engagements, particularly for strategic AI opportunities.

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

Please note this role is based onsite at our HQ in Raleigh, NC, with up to 50% travel 

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

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

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

Responsibilities

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

We believe in transparency and fairness in our compensation practices.

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

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

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

 Benefits 

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

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

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

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

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

Overview

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

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

Responsibilities

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

 Travel Required  

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

We believe in transparency and fairness in our compensation practices.

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

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

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

 Benefits 

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

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

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

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

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

Overview

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

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

Responsibilities

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

Qualifications 

Minimum Qualifications  

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

Preferred Qualifications 

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

Travel Required

Up to 10%

Other Duties

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

What it’s like to work at Rithum 

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

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

At Rithum you will:

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

We believe in transparency and fairness in our compensation practices.

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

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

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

 Benefits 

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

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

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

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

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

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

Responsibilities

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

About You

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

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

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.

At Levitate, we’re on a mission to make a real impact - for our customers, our team, and the world around us. We believe the best work comes from people who are curious, driven, and excited to grow. Our five core values guide everything we do, and we look for teammates who embody the traits that make those values come to life:

• Creating Magic ✨ You have the persistence and grit to turn ambitious ideas into remarkable outcomes.
• Showing Customer Empathy ❤️ You bring humble confidence, listening deeply, and putting customers first.
• Making Data-Driven Decisions 📊 You pair creativity with insights to make smarter, faster choices.
• Focusing on Solutions, Not Problems 🔍 You approach challenges with positivity and critical thinking, always looking for the way forward.
• Making Small Improvements Every Day 🌱 You embrace coachability and lean into discomfort to grow, improve, and drive lasting change.

Here, you won’t just do a job, you’ll help create meaningful experiences, solve real problems, and shape the future of our company.

Levitate is growing — in headcount, in locations, and in the complexity of the systems and tools that power our people and operations. We're looking for a Manager, IT Operations to lead our IT function at a critical inflection point: from a tactical, reactive support model to a strategic, proactive one.

This is a leadership role for someone who can think architecturally about systems and infrastructure, manage and develop a small team, and act as a trusted partner to the Sr. Director of Operations, SVP of Engineering, and cross-functional leadership on all things IT. You'll own our IT strategy, systems architecture, AI tooling governance, compliance posture, and day-to-day IT operations while building the team and processes that allow Levitate to scale confidently across multiple locations.

The right person for this role brings both technical depth and people leadership. You can have a credible conversation with an engineer about infrastructure decisions and turn around and translate that into clear direction for a Coordinator resolving a support ticket. You're comfortable with ambiguity, thrive in lean environments, and are energized by building something, not just maintaining it.

What You'll Own

IT Strategy & Architecture

• Define and maintain Levitate's IT systems architecture — how tools are selected, integrated, and governed across the organization
• Serve as the primary IT thought partner to the Sr. Director of Operations and collaborate closely with the SVP of Engineering on infrastructure decisions, systems integrations, and technical architecture
• Evaluate new technologies and make recommendations that balance business needs, security posture, cost, and scalability
• Own the IT roadmap, including multi-site infrastructure strategy as Levitate continues to expand across Raleigh, Toronto, and future locations

AI Tooling Governance

• Own Levitate's AI tooling strategy including access governance, departmental alignment, contract management, and ongoing evaluation of AI platforms (e.g., ChatGPT Enterprise, Claude, and emerging tools)
• Conduct regular access audits to ensure the right teams have access to the right tools, aligned with our compliance and risk tolerance
• Stay current on the AI tooling landscape and bring forward-thinking recommendations on how Levitate can use AI to operate more efficiently and securely

Security, Compliance & Risk

• Own IT's role in Levitate's SOC 2 Type 2 and HIPAA compliance programs, serving as a primary resource and technical partner to our Compliance Specialist
• Maintain and evolve our security tooling stack, including endpoint protection (CrowdStrike), access management, and identity governance
• Ensure least-privilege access principles are applied consistently across all systems and locations
• Support compliance readiness for additional frameworks as the business requires (PCI, etc.)
• Proactively assess IT risk and bring recommendations to leadership before issues escalate

Systems Ownership & Administration

• Oversee system administration across Levitate's core IT stack — including Google Workspace, Zoom, Microsoft 365, MDM, JumpCloud, and other business-critical platforms
• Own SaaS license governance including renewal management, license optimization, and vendor relationships across the IT stack
• Own hardware and asset management lifecycle: procurement, enrollment, tracking, and offboarding across all locations
• Own and evolve our IT ticketing and service management solution, ensuring the team is delivering consistent, measurable support to the business
• Define standards and documentation for IT systems, configurations, and processes so knowledge is institutional, not individual
• Own and manage the internal IT budget, including partnering with Finance and cross-functional teams on annual planning, tracking spend, and identifying opportunities to optimize and reduce ongoing recurring costs across the IT stack

People Leadership & Team Development

• Manage, coach, and develop individual contributors on the IT Operations  team
• Set clear expectations, provide regular feedback, and create development pathways that grow the team's capability over time
• Build team structure and processes that scale including clear intake, prioritization, and escalation frameworks
• As Levitate grows, partner with the Sr. Director of Operations to define and hire dedicated IT resources as needed

Cross-Functional Partnership

• Act as a systems and IT consultant to department leaders evaluating new tools or processes — providing architecture input, security review, and integration guidance
• Collaborate with HR, Finance, RevOps, and other functions to ensure systems implementations are designed well, integrated cleanly, and maintained effectively
• Partner with the SVP of Engineering to maintain clear ownership boundaries between IT operations and engineering infrastructure, ensuring alignment without duplication

What We're Looking For

Required

• 5+ years of experience in IT management, systems administration, or IT operations with at least 2 years in a people leadership or team lead role
• Demonstrated experience owning IT infrastructure and systems architecture in a multi-site or distributed environment
• Hands-on experience with endpoint security and protection platforms (CrowdStrike or equivalent)
• Strong working knowledge of Google Workspace, MDM solutions, identity and access management (JumpCloud or equivalent), and SaaS application administration
• Experience supporting compliance programs — SOC 2, HIPAA, or similar frameworks
• Proven ability to communicate technical concepts clearly to non-technical stakeholders, and to influence decisions across functions without direct authority
• Strong project management skills and comfort operating in a lean, fast-moving environment

Preferred

• Experience in a SaaS company or high-growth technology environment
• Familiarity with AI tooling governance — evaluating, managing, and auditing AI platform access across an organization
• Experience building or scaling an IT function, not just inheriting one
• Background managing IT across multiple physical locations
• Relevant certifications (CompTIA Security+, CISSP, or equivalent) a plus

Our commitment to our staff is showcased not only through our strong company culture, but also through our employee-centric benefits and programs including:

• Daily catered lunches from locally-owned restaurants and diverse snack offerings 
• Employee-led groups (run club, disc golf club, and book club, just to name a few) that bring employees with similar hobbies and interests together to inspire and build relationships
• Plentiful opportunities to volunteer with and contribute to local organizations that align with the passions of our staff
• Flexible PTO to facilitate strong work-life balance 
• Paid parental leave that provides employees with support and flexibility as they grow their families
• Extensive benefit options including healthy lifestyle reimbursement, 401(k) matching, HSA/FSA, dental, vision, and mental health coverage, and much more
• Culture Crew and Emerging Leader programs to foster employee leadership development, inclusivity, and connection through year-round trainings and events

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.

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, healthcare, and beyond to move from reactive chaos to proactive control, driving better outcomes.

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 join 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 immediately impact global brands.
• 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? 

Join us in Raleigh and let’s get LIT.

About Relay

For decades, enterprise technology has focused on the 20% of workers sitting behind desks, while the 80% who power the physical economy have been left behind in an analog void. Relay is fixing the "Operational Black Hole" by providing an Intelligent System of Action (SOAR) that connects frontline teams. We are replacing disconnected legacy radios with rugged, AI-powered smart devices that run on our patented Steady Link™ network, enabling teams to communicate, stay safe, and convert voice into operational data.

As we rapidly scale and expand our enterprise footprint across Manufacturing, Steel, Food & Beverage, and Logistics, we require a highly experienced, strategic technical leader to architect, lead, and optimize our largest and most complex physical rollouts.

The Role: Your Mission

As a Senior Deployment Systems Engineer (Sr. DSE), you are the principal technical architect and quarterback for Relay’s largest, most strategic, and multi-faceted enterprise deployments. When a Tier 1 enterprise customer purchases thousands of Relay devices for a multi-site rollout, you own the technical vision, the physical infrastructure, and the overall execution strategy to ensure success.

You sit within our Solutions organization alongside Solutions Engineers (SE). While the SE secures the technical win, you design, implement, and govern the system-wide deployment. You will leverage your expertise to proactively ensure the customer's facility has the optimal power load, scalable charging infrastructure, and resilient network capacity to support our devices, and you will coordinate and set the timing of hardware delivery and software integration across multiple workstreams. Over time and as our DSE team scales, you will also mentor junior DSEs and contribute to global deployment standards. 

Key Responsibilities:

• Principal Deployment Architect & Quarterback: Serve as the overall technical project lead and decision-maker from the moment a massive, strategic deal closes through full operational deployment. You are accountable for the seamless handover from Solutions Engineering, the strategic coordination of activities with Customer Success, and the development and governance of the end-to-end implementation plan for Forward Deployed Engineering.
• Advanced Infrastructure & Network Design: Lead and conduct complex, multi-site audits and deep-dive technical assessments to validate the customer's enterprise IT and physical infrastructure readiness. This includes expert-level assessment of Wi-Fi 6 and cellular network capacity for Relay's Steady Link™ technology (simultaneous redundant Cell + Wi-Fi connectivity), providing authoritative guidance on sophisticated firewall configurations (e.g., policy-based routing, QoS), and conducting precise electrical engineering calculations for installing high-density, massive charging stations.
• Strategic Technical Resource Direction: Strategically identify, scope, and direct custom software development requirements (e.g., integrating Relay with a customer's ERP, WMS, or bespoke IoT sensors). As we scale, the vision is that you will deploy, mentor, and oversee our to be hired Forward Deployed Engineers (FDEs) to execute complex coding, ensuring their work is architecturally sound and perfectly aligned with the physical rollout timeline and customers' overall operational goals.
• Global Hardware Logistics & Staging Oversight: Collaborate strategically with our Supply Chain team to establish and govern provisioning, staging, and shipping protocols for thousands of MIL-STD 810H, IP68/69K devices, ensuring consistent, on-time delivery and meeting or exceeding our demanding 48-hour operational SLAs.
• Establish and Govern the Onboarding Center of Excellence (CoE): Take a foundational, leadership role in scaling our Onboarding CoE. You will author, review, and govern repeatable technical deployment playbooks, standards, and best practices that significantly optimize Time-to-Value (TTV) and drive down COGS across diverse and challenging segments like Steel, Specialty Logistics, and Hospitality, and be responsible for the technical training of the Solutions team.

Who You Are / What You'll Need:

• Deep Systems Architecture & Governance Expertise (8+ years): You possess a veteran-level, holistic understanding of complex enterprise networking (including expert-level knowledge of Wi-Fi 6, advanced Cellular Systems like DAS/Small Cell, Private and Public Wireless, RF propagation modeling, MAC whitelisting/802.1X, and complex firewall/network policy management) and physical facility infrastructure (power load distribution, industrial low-voltage cabling standards).
• The Principal Quarterback Mindset & Program Management: You are a proven master of high-stakes, multi-million dollar program logistics and project governance. You can look at a complex, global deployment involving hardware manufacturing, bespoke software integration, and significant physical construction, and architecturally align all moving parts to a consolidated, risk-mitigated "Go-Live" date.
• Executive Presence and Technical Authority: You are equally comfortable and credible putting on a hard hat to lead a technical walk-through at a steel mill with a VP of Operations, as you are sitting in a boardroom strategically defining security and network protocols with a CISO or IT Director.
• Massive Scale Hardware / IoT Deployment Experience: Extensive and demonstrated experience architecting and executing the deployment of physical hardware, industrial AV equipment, enterprise networking gear, or complex IoT sensor networks at a massive, multi-site scale.
• Advanced Cross-Functional Leadership & Fluency: You are a diplomatic leader who can draw clear, accountable boundaries. You have the judgment to know when a systemic problem requires a Principal FDE (software/code architecture) vs. when it requires the CS team (user adoption and workflow training), and you take ownership of driving the resolution through the appropriate channels.

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

Ready to build something great with us? We can't wait to hear from you.

Join Us On-Site in Raleigh!

At Relay, we're building something special, and we believe our relationships with each other and our customers are the foundation of our success. This is an in-person role, based in our Raleigh, NC HQ, and you can expect ~50% travel for this role.

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

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).

Available Locations: Charlotte OR Raleigh, North Carolina

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

What you’ll do as a Senior Solutions Engineer

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

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

Specifically, we are looking for you to:

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

Basic Requirements

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

Examples of one or more desirable skills, knowledge and experience

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

Other desirable skills areas include:

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

Bonus Points

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

More About You

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

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.

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

Think you’re a good fit for this job? 

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

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

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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.

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

We are seeking a Senior Software Engineer to take an AI voice agent platform from working concept to shipping, revenue-generating product.

This isn't an R&D role. The research phase proved the concept works. The engine runs — now we need to build the car around it. We're looking for someone who builds products — someone who ships code to real customers, watches how they use it, and ships again next week. You'll be joining a small, high-caliber team with deep voice and telephony expertise, and your job is to help us turn that foundation into a SaaS platform that resellers can white-label and deploy for thousands of SMBs.

The Innovation Studio operates like a startup — backed by the infrastructure of a public company. We optimize for learning speed, not perfection. If you've spent your career inside enterprise release processes and that's where you're comfortable, this isn't the right fit. If you've been waiting for a team that ships at the pace of a startup but sits on top of a global communications network — keep reading.

How You Work Matters As Much As What You Know:

This is a senior IC role. You lead by example, not management authority.

• Engineering Fundamentals Are Non-Negotiable: You understand software design, system architecture, and why things break at scale — not because you read about it, but because you've built through it.
• Product Shipping Experience: You've built and launched products that real customers use — ideally in a startup or high-growth environment. Prototypes and POCs don't count.
• AI as a Force Multiplier, Not a Crutch: You've embraced AI development tools as a core part of how you work. You use AI to move faster while your experience and judgment ensure the output is sound.
• Deep Instincts Over Blind Trust: When AI generates code, you know whether it's good — and more importantly, you know when it's subtly wrong.
• Full-Stack Fearlessness: When you hit an unfamiliar domain, your instinct is to pick it up and move fast — using AI to operate across the full stack without sacrificing quality.

This combination — strong fundamentals amplified by AI fluency — is a first-class requirement, not a nice-to-have.

What You'll Do:

• Ship the Product: Build the SaaS platform layer that turns our AI voice agent into a multi-tenant, revenue-generating product — tenant management, partner APIs, configuration workflows, onboarding UX, operational dashboards, and the glue that holds it all together.
• Work Everywhere in the Stack: Backend services, frontend, infrastructure, AI pipeline — you go where the highest-priority work is. Role boundaries slow teams down; you ignore them.
• Close the Loop: Get features in front of real partners and real SMBs fast. You measure your work by what users do with it, not by what got merged.
• Lead Through Craft: You earn influence through code quality, smart trade-offs, and velocity — not title or tenure. You raise the bar through code review, design discussions, and pairing.
• Automate the Bottlenecks: When something in the dev cycle is slow or repetitive, your instinct is to script it, agent it, or eliminate it. You don't just build the product — you accelerate the system that builds it.

The Mindset:

Comfortable in Ambiguity: Requirements are evolving, priorities shift weekly, and the roadmap is measured in weeks, not quarters. That energizes you.Entrepreneurial Instinct: You think about the product, not just the code. You care whether what you built actually moves the business forward.Pragmatic over Clever: You prefer boring technology that scales over shiny technology that breaks. You build guardrails and observability — then move fast inside them.Low Ego, High Ownership: You're here to ship a product, not to be the smartest person in the room. You'll pick up whatever task moves the team forward, whether it's glamorous or not.

Nice-to-Haves:

• Experience with real-time systems, voice/telephony, or conversational AI
• Hands-on experience with LLMs, agentic AI, prompt engineering, or model fine-tuning
• Experience building multi-tenant SaaS platforms or B2B2B products

What Success Looks Like:

• A real product, not a demo: A deployable, sellable platform with paying customers.
• Weekly improvement loops: Shipping and learning from real partner and customer feedback every week.
• Operational confidence: Clear dashboards, measurable quality, fast incident response, and releases you can trust.
• Scale trajectory: A system designed to grow into tens of thousands of agents without collapsing under its own complexity.

Why This Role:

Startup pace and ownership — without building distribution from scratch.A serious communications backbone (global network + deep telephony expertise) already underneath you.A team that's ready to shift from "the concept works" to "customers pay."

The Whole Person Promise:

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

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

The Team

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

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

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

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

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

The Role

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

The Work You’ll Do

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

 The Preferred Qualifications You Need

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

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.

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.

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

What You'll Own

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

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

Key Responsibilities

Technical Delivery

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

Client-Facing Services Delivery

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

Leadership & Collaboration

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

Innovation & AI

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

Ways of Working

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

Required Qualifications

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

Preferred/Bonus

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

Who We Are:

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

What We Are Looking For:

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

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

What You'll Do:

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

What You Need:

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

Bonus Points:

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

The Whole Person Promise:

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

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