Tenstorrent is looking  for a STA methodology engineer who owns timing across advanced-node, high-performance, low-power designs, bringing deep expertise with PrimeTime, noise/crosstalk/OCV analysis, and strong scripting skills. They will lead the development and optimization of end-to-end STA methodologies and flows, drive data- and ML-assisted timing automation, and partner closely with logic, physical design, DFT, and EDA vendors to solve complex timing challenges across multiple IPs and products. 

This role is hybrid, based out of Santa Clara, CA, Austin, TX, or Fort Collins, CO.

We welcome candidates at various experience levels. 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

• An experienced Static Timing Analysis (STA) / timing methodology engineer with a BS/M in Electrical or Computer Engineering (or equivalent experience) 5+ years in industry, focused on high-performance and low-power designs at advanced technology nodes. As well as a deep knowledge of STA tools and techniques, including noise, crosstalk, and OCV analysis.
• You are fluent with PrimeTime and related signoff tools (e.g., PT-SI, PTPX, PT-ECO) and have extensive hands-on experience driving signoff correlation, advanced static timing analysis, and signoff closure.
• You are strong at debugging timing constraints, resolving timing correlation issues, and developing effective timing closure strategies.
• You write robust, production-quality scripts in Tcl, Python, and/or Perl and are comfortable building and maintaining CAD utilities and flow components.

What we need

• A senior methodology owner to lead cross-functional efforts to solve complex timing challenges across multiple IPs, projects, and technology nodes. Experience developing and enhancing STA methodologies across the full RTL-to-GDS flow, including: Early timing estimation and timing feasibility checks. Timing optimization techniques in synthesis and place-and-route. Timing signoff methodologies and criteria. Post-route timing ECO strategies and execution.
• A technical leader to architect, optimize, and maintain production STA flows using industry-standard EDA tools, continuously improving PPA (Power, Performance, Area) and runtime efficiency.
• A methodology engineer who can explore and deploy data-driven and ML-assisted techniques to: Improve STA automation. Predict and prioritize timing risk. Guide optimization strategies across blocks and full-chip. Design, implement, and maintain scalable CAD utilities and STA flow components that improve PPA, robustness, and team productivity.
• A methodology owner who continuously refines workflows and introduces new technologies to ensure robust, PPA-optimized timing solutions across all product lines.

What you will learn

• How to scale STA methodologies across a diverse portfolio of IP and SoC programs, balancing aggressive performance targets with strict power and area constraints.
• Best practices for integrating data-driven and ML-assisted approaches into timing flows to improve automation, predictability, and decision-making.
• How to influence tool roadmaps by partnering closely with leading EDA vendors on advanced-node timing, noise, and variability challenges.
• How to operate within and help shape a rapidly evolving startup design environment, including tradeoffs between quick solutions and long-term methodology investments.
• Deeper cross-functional insight into how logic design, physical design, and DFT interact with STA methodology, and how to build flows that serve all of these stakeholders effectively.

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.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

Active (or active within 24months) Secret Security Clearance required, can hold TS

JOB SUMMARY:

The Cloud Engineer III supports the design, planning, and implementation of IL5-aligned cloud environments within AWS GovCloud (US). This role focuses on executing complex cloud engineering tasks, supporting secure architecture development, and ensuring alignment with DoD cybersecurity requirements and operational objectives. There may be some travel required with this position. 

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Support the design and implementation of secure cloud architectures aligned to NIST SP 800-53 Revision 5 and DoD SRG requirements
• Develop and maintain infrastructure-as-code (IaC) solutions to enable repeatable and portable cloud deployments
• Implement and configure core cloud services including networking, identity and access management, logging, monitoring, and encryption
• Support development of transferable enclave architectures for constrained or restricted hosting environments
• Evaluate existing system architectures and assist with modernization efforts to improve scalability, security, and efficiency
• Deploy and support containerized workloads and cloud-native services, including serverless and managed service patterns
• Implement required security controls to support RMF and ATO processes, including evidence collection and validation
• Support data migration activities including preparation, execution, and validation
• Collaborate with architects, security engineers, and stakeholders to ensure alignment across design, implementation, and compliance
• Troubleshoot and resolve complex issues across cloud infrastructure, networking, and application environments

REQUIRED SKILLS AND EXPERIENCE:

• Hands-on experience deploying and operating workloads in AWS GovCloud (US) or commercial AWS environments
• Strong experience with AWS services including VPC, EC2, IAM, KMS, CloudWatch, and related networking and security services
• Experience developing infrastructure-as-code using tools such as Terraform or CloudFormation
• Experience working with container technologies such as Docker and container orchestration or serverless container platforms
• Understanding of DoD or federal cybersecurity frameworks including NIST 800-53 and RMF
• Ability to implement secure configurations aligned to STIGs and vulnerability management practices

PREFERRED SKILLS AND EXPERIENCE:

• Experience supporting IL4/IL5 environments or DoD SRG-aligned cloud implementations
• Familiarity with ATO processes, eMASS, and security control evidence development
• Experience with managed cloud services such as database-as-a-service and serverless architectures
• Experience operating in constrained or restricted cloud environments with service limitations
• AWS certifications such as Solutions Architect or Security Specialty

EDUCATION: Bachelors with  7+ or Master with  5+ Years of Experience

LENGTH: 4 Months

LOCATION: Hybrid Remote/On site Colorado Springs

CLEARANCE REQUIRMENT:  Secret

DOD 8570 REQUIREMENT: None

SALARY RANGE: $100 to $120 per hour

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

• Remain in a stationary position for extended periods of time.
• Operate a computer, keyboard, and other office equipment using hands and fingers.
• Communicate effectively in person, over the phone, and through electronic means.
• Occasionally move about the office to access files, office equipment, and meeting spaces.
• Lift and/or move up to 15 pounds as needed.
• Maintain specific vision abilities, including close vision and the ability to adjust focus.

WORK ENVIRONMENT:

This position is performed within a secure, classified workspace. Employees must comply with all applicable security protocols and access control procedures, including restrictions on personal electronic devices and the handling of sensitive information.

#LI-MM1
#LI-Hybrid
P24885

What You’ll Do 

1. Architect vision-based navigation systems for autonomous space missions
2. Define and evaluate algorithms for pose estimation, feature tracking, and sensor fusion
3. Build prototype CV pipelines for onboard and simulation environments
4. Lead integration of camera systems with GNC stack
5. Deliver a vision-based navigation architecture for SDA/RPOD missions
6. Develop and validate perception algorithms using synthetic and real datasets
7. Stand up simulation environments for camera modeling and scene generation
8. Drive integration and testing of navigation solutions within full system 

Your Ideal Background

Required 

1. Bachelor’s or higher degree in Aerospace, Robotics, Computer Vision, or related field
2. 5+ years experience in navigation, state estimation, or computer vision systems
3. Strong experience with computer vision techniques (e.g., SLAM, visual odometry, feature detection)
4. Proficiency in Python and/or C++ for algorithm development
5. Experience deploying algorithms to real-world or flight-like systems
6. Proven ability to lead technical projects from concept to deployment 

Desired 

1. Experience with space-based navigation (e.g., RPOD, planetary landing, SSA/SDA)
2. Familiarity with multi-sensor fusion (IMU, cameras, LiDAR, etc.)
3. Experience with OpenCV, ROS, or similar frameworks
4. Understanding of spacecraft dynamics and GNC systems
5. Experience with simulation tools and synthetic data generation
6. Strong communication and cross-functional collaboration skills 

Additional Requirements: Must be willing to work extended hours and weekends as needed.

Compensation and Benefits: Your base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. The anticipated salary range for this role is $150,000 - $200,000 annually.

Base salary is just one part of your total rewards package at Katalyst. You will also be eligible for long-term incentives, in the form of the Employee Stock Option and Equity Plan, as well as a relocation bonus and other discretionary bonuses. You will also receive access to comprehensive medical, vision, and dental coverage, and unlimited Paid Time Off.

At Katalyst our work on projects involving the U.S. Department of Defense requires adherence to International Traffic in Arms Regulations (ITAR), 22 C.F.R. Parts 120-130, which requires compliance with U.S. export laws before allowing employees to perform certain positions. Currently, our available roles necessitate access to ITAR-controlled information, and as a result, Katalyst would have to ensure any non-US person is authorized access to ITAR information before the commencement of employment. We are committed to equal employment opportunities and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.

**This position is fully on-site in Colorado Springs, CO | Active Secret Clearance Min. (or active withing past 24 months) Required

JOB SUMMARY:

The Systems Engineer – MBSE Specialist focuses on Model-Based Systems Engineering (MBSE), performing system architecture modeling efforts using SysML within Dassault’s Cameo tool suite.

This role supports system architecture development by translating existing technical documentation and DoDAF artifacts into structured SysML models, while mentoring engineering teams on MBSE methodologies, tools, and digital engineering best practices.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Develop and maintain system architecture models using SysML in Dassault Cameo tools (Enterprise Architect, Collaborator, Teamwork Cloud)
• Serve as the Cameo and SysML subject matter expert across engineering teams
• Mentor and guide systems engineers and architects on MBSE tools, SysML standards, and modeling best practices
• Support conversion of existing DoDAF views into SysML-based models
• Build system and subsystem models from existing technical documentation using established style guides
• Collaborate with architecture teams to ensure consistency and accuracy of system models
• Apply digital engineering principles to improve system design, traceability, and analysis
• This position will be filled and worked onsite in Colorado Springs, CO.
• SysML Modeling
• Dassault Cameo (Enterprise Architecture, Collaborator, Teamwork Cloud)
• Model-Based Systems Engineering (MBSE)
• DoDAF / UAF Frameworks
• Digital Engineering Practices

SKILLS AND EXPERIENCE:

• Active Secret Clearance
• Thorough understanding of systems engineering lifecycle and core concepts
• Experience modeling with SysML
• Experience using Dassault Cameo modeling tools
• Experience working in collaborative engineering environments
• Ability to mentor engineers with limited MBSE/Cameo experience
• Familiarity with architectural frameworks such as DoDAF and/or UAF

YEARS OF EXPERIENCE: Minimum 3 years of experience

PREFERRED TECHNICIAL SKILL & CERTIFICATIONS:

• Bachelor’s degree in Computer Engineering, Systems Engineering, or related STEM field
• 5+ years of experience modeling with SysML
• 5+ years of experience using Cameo modeling tools
• Knowledge of U.S. Space Force Space Systems Command SysML Style Guide
• Advanced knowledge of DoDAF and/or UAF frameworks
• SysML Certification (e.g., OMG-Certified SysML Professional – OCSMP)
• Familiarity with ITW/AA and Space Domain Awareness (SDA) mission areas

SECURITY CLEARANCE: Secret Clearance, TS preferred

EDUCATION/CERTIFICATION: Bachelor’s degree in related field preferred, or equivalent experience

The Perks

• Comprehensive medical, dental and vision plans for you and your dependents
• 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
• Competitive Compensation
• Training and development programs
• Stocked kitchen with snacks and beverages
• Collaborative and cool culture
• Work-life balance and generous paid time off

PHYSICAL DEMANDS: While performing the standard duties of this job, the employee can expect light physical exertion with long periods of sitting, occasional standing and walking; limited bending, crouching, stooping, stretching, reaching, or similar activities; occasional lifting/moving of items up to 25 pounds. Hearing and speech communication in person and over the telephone is essential to fulfilling the duties of this position.  Specific vision abilities required to read printed materials and a computer screen; including close vision and the ability to adjust focus.

WORK ENVIRONMENT: While performing the duties of this job, the employee is frequently surrounded by other employees and their conversations on the telephone and in person.  The noise level and indoor office temperature may vary. 

US Citizenship Required for all Trace3 Gov positions

ABOUT THE TEAM

At Anduril, our Software Engineers specialize in solving complex, real-world problems through cutting-edge algorithms and intelligent software integrations. Operating in small, innovative teams, we push the boundaries of what's possible to deliver advanced technologies with mission-critical applications. Our commitment doesn't end with academic research or proof-of-concept experiments; we measure our success by the real-world impact of our deployed solutions. Inspired by Arthur C. Clarke's vision — "Any sufficiently advanced technology is indistinguishable from magic" — we aim to achieve groundbreaking results in target tracking, state estimation, and situational awareness. We are currently seeking highly talented technologists to join our mission and redefine the future of defense technology.
 

WHAT YOU WILL DO:

• Define and influence the direction of a small team, leveraging your subject-matter expertise in target tracking and state estimation.
• Architect, maintain, and evolve complex software systems, refactoring existing codebases to improve performance, maintainability, and scalability.
• Prototype and deploy state-of-the-art algorithms for tracking, multi-sensor data fusion, and state estimation in agile, iterative development environments.
• Develop high-performance Rust software for real-time systems, ranging from tactical implementations to simulation environments and decision support tools.
• Design and implement robust filters, estimators, and probabilistic reasoning systems that enable actionable insights from noisy, ambiguous, or incomplete sensor data.
• Apply software design patterns and architectural best practices to manage technical debt and guide the evolution of production systems over time.
• Analyze system performance using high-fidelity simulations, innovative modeling tools, and rigorous statistical techniques to validate the benefits of our technology.
• Drive customer success by customizing algorithms and software for mission-critical use cases, including real-time tracking and sensor fusion.
• Integrate tracking and estimation technologies into the broader software development lifecycle, from requirements definition through testing and optimization.
• Translate technical progress into clear, actionable insights for diverse stakeholders, including colleagues and end-users.

REQUIRED QUALIFICATIONS

• 8+ years of professional software engineering experience & a Bachelor's degree in mathematics, physics, engineering, or other technical field (advanced degree strongly preferred)
• Demonstrated experience managing and evolving software architecture in production environments, including refactoring legacy systems and managing technical debt.
• At least 2+ years working on a single codebase or product, maintaining and expanding it as requirements evolved.
• Strong understanding of software design patterns, architectural principles, and best practices for building maintainable, scalable systems (beyond basic syntax proficiency).
• Proficiency in algorithm design, software development, and statistical modeling; experience with Rust, C/C++, Python, and Matlab is a plus.
• Solid understanding of applied mathematics, including linear algebra, optimization, probability, and stochastic processes.
• Knowledge of signal processing techniques for interpreting diverse sensor data (e.g., radar, lidar, EO/IR).
• Familiarity with big data pipelines, NoSQL databases, and the efficient handling of large-scale sensor data.
• Ability to engineer robust systems for estimation theory, adaptive filtering, controls, and complex signal environments.
• Demonstrated ability to work across development lifecycles, from prototyping to optimizing production systems.
• Eligible to obtain and maintain an active U.S. Secret security clearance. 

PREFERRED QUALIFICATIONS

• Experience refactoring and modernizing Rust codebases in production environments.
• Track record of architectural decision-making and technical leadership on long-lived projects.
• Contributions to open-source Rust projects or the broader Rust ecosystem.
• Experience with concurrent and parallel programming patterns in Rust.
• Experience in state estimation, including Bayesian filtering, sensor fusion, and recursive estimation techniques.
• Background in machine learning as applied to target tracking and recognition, including clustering, classification, and anomaly detection techniques.
• Strong knowledge of target tracking techniques, such as Kalman filters, particle filters, and multi-target tracking algorithms (e.g., JPDA, MHT, or PHD filters).

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

ABOUT THE TEAM

Anduril's Air & Missile Defense Radar team develops cutting-edge tracking algorithms and software systems that detect, track, and characterize airborne threats in real-time. Working in small, focused teams, our software engineers design and implement sophisticated tracking solutions that protect lives and critical assets. Our work spans the full spectrum—from developing novel multi-target tracking algorithms to building high-performance distributed systems that process massive amounts of sensor data in milliseconds.

ABOUT THE JOB

We are seeking a DevSecOps Engineer to build and maintain the secure automation infrastructure that powers our radar tracking deployments, create testing and analysis tools to support tactical software, and accelerate developer workflows. You'll design CI/CD pipelines, architect core tooling, implement Infrastructure-as-Code, and establish continuous compliance workflows that enable our engineering teams to deploy updates rapidly while meeting stringent DoD and IC security requirements.
 

WHAT YOU WILL DO

• Design and implement secure CI/CD pipelines for classified environments, enabling automated build, test, and deployment of radar tracking software across multiple enclaves
• Build Infrastructure-as-Code frameworks (Terraform, Ansible, or similar) to provision and configure development, test, and production environments that meet DISA STIG and NIST 800-53 requirements
• Automate security compliance workflows, including STIG scanning, vulnerability assessment, configuration validation, and compliance reporting for continuous monitoring
• Develop containerization and orchestration solutions (Docker, Kubernetes) tailored for classified networks with appropriate security hardening
• Implement secrets management, certificate rotation, and access control systems that balance security with developer productivity
• Create monitoring and logging infrastructure to support security operations, troubleshooting, and incident response
• Collaborate with software engineers to optimize build processes, reduce deployment friction, and integrate security controls early in the development lifecycle
• Support ATO preparation and continuous monitoring by generating compliance artifacts, evidence packages, and security documentation
• Partner with system administrators and ISSM/ISSO personnel to ensure deployed systems meet customer security requirements 
• Work alongside tactical software developers to identify pain points and process deficiencies and architect durable solutions

REQUIRED QUALIFICATIONS

• 5+ years of experience and a Bachelor's degree in Computer Science, Engineering, Cybersecurity, or related field (or equivalent experience)
• Strong hands-on experience with CI/CD tools such as GitLab CI, Jenkins, GitHub Actions, or similar
• Understanding of software engineering fundamentals: design patterns, testing, version control, and debugging
• Proficiency with Infrastructure-as-Code using Terraform, Ansible, Puppet, Chef, or similar tools
• Working knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes, Docker Swarm)
• Understanding of Linux system administration, networking, and scripting (Python, Bash)
• Familiarity with DoD security frameworks (RMF, NIST 800-53, DISA STIGs)
• Ability to obtain and maintain a U.S. Top Secret SCI security clearance

DESIRED QUALIFICATIONS

• Experience deploying and maintaining systems in classified DoD or IC environments
• Hands-on experience with ATO processes, STIG implementation, and continuous monitoring for accredited systems
• Proficient in Python package development
• Familiarity with SCAP-compliant scanning tools (OpenSCAP, Nessus, ACAS) and automated compliance frameworks
• Experience with secure software supply chain practices, artifact signing, and software bill of materials (SBOM)
• Knowledge of zero-trust architectures and microsegmentation in Kubernetes environments
• Experience with GitOps workflows and declarative infrastructure management
• Proficiency with observability and monitoring tools (Prometheus, Grafana, ELK stack, Splunk)
• Understanding of PKI, certificate management, and secrets management solutions (Vault, AWS Secrets Manager)
• Experience with air-gapped or disconnected network deployments
• Familiarity with real-time or embedded systems and their unique deployment constraints
• Active U.S. Top Secret SCI clearance
• Relevant certifications such as Security+, CISSP, or AWS/Azure security certifications

We request transcripts as part of the early application process to understand your academic background and how your coursework supports the skills deemed critical for the role. Transcripts help us assess your technical and analytical abilities, complementing our interview process in which we also evaluate practical experience and cultural fit. If you choose not to share your transcripts, you will need to provide detailed information regarding your academic performance in relevant courses, including projects and coursework specifics, to ensure we evaluate your academic accomplishments properly. If you do provide academic transcripts, feel free to redact non-technical information (e.g., student ID, dates, non-technical coursework, etc.). Unofficial transcripts obtained online acceptable for this assessment.

Tenstorrent is seeking an experienced EDA/PDK CAD Engineer to build and maintain world-class design infrastructure that accelerates our silicon innovation. In this role, you'll install and optimize PDKs, manage EDA tool flows, and partner with analog, digital, and software teams to continuously improve design efficiency. If you're passionate about solving complex CAD challenges and enabling cutting-edge chip design, we want you on our team.

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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 self-driven problem solver with deep knowledge of PDKs, EDA tools, and IC design flows.
• Experienced in troubleshooting complex CAD issues and developing creative work-around solutions.
• Collaborative communicator who actively seeks feedback to improve team productivity.
• Passionate about challenging industry-leading tools and methodologies to drive continuous improvement.

What We Need

• BS, MS, or Ph.D. in Electrical Engineering and/or Computer Science with 5+ years of industry experience.
• Hands-on expertise installing, configuring, and maintaining PDKs and EDA environments.
• Strong background supporting physical verification flows (DRC, LVS, EM/IR, extraction) and mixed-signal simulation.
• Proven ability to work with vendors, foundries, and cross-functional teams to resolve technical issues.

What You Will Learn

• How to architect and scale design infrastructure for state-of-the-art AI silicon development.
• Advanced techniques for optimizing EDA flows across analog, digital, and mixed-signal domains.
• Direct collaboration with world-class engineers to shape tools and methodologies that define industry standards.
• Best practices for proactive CAD support and continuous flow improvement in a fast-paced innovation environment.

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.

Tenstorrent is seeking an Physical Design Engineer to lead  cross-functional efforts to solve complex physical design challenges and develop end-to-end RTL-to-GDS methodologies across advanced nodes, with a strong focus on PPA and runtime improvements. The engineer will architect, integrate, and deploy AI/ML-driven solutions into production physical design flows, creating custom CAD tools and partnering with internal teams and EDA vendors to drive next-generation, ML-enabled capabilities. 

This role is hybrid, based out of Santa Clara, CA or Austin, TX or Fort Collins, CO.

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

• BS in Electrical or Computer Engineering (or equivalent experience) with 5+ years in Physical Design CAD methodology at advanced nodes.
• Proven track record improving PPA and/or runtime on high-performance, low-power taped-out designs.
• Hands-on with industry-standard EDA tools (e.g., Fusion Compiler) across synthesis, P&R, STA, signoff, and hierarchical flows.
• Strong Python/Tcl and data skills, with interest or experience in ML frameworks (PyTorch, TensorFlow), and the ability to drive complex projects independently.

What we need

• Lead and contribute to cross-functional efforts solving complex physical design challenges across IPs, projects, and advanced technology nodes.
• Develop and enhance RTL-to-GDS methodologies, including floorplanning, synthesis, P&R, STA, signoff, and assembly.
• Architect and deploy AI/ML-driven solutions in production flows to improve engineering efficiency, turnaround time, and QoR.
• Optimize EDA tools and custom CAD flows using data-driven and ML-based techniques, in close collaboration with verification, extraction, timing, DFT, and EDA vendors.

What you will learn

• How to scale AI/ML-driven methodologies across diverse products and advanced technology nodes in real production flows.
• New ways to blend classical EDA algorithms with modern ML techniques to push PPA and runtime limits.
• Best practices for deploying, validating, and monitoring ML models in production CAD environments.
• How to influence next-generation ML-enabled EDA tools and collaborate deeply with cross-functional teams (PV, extraction, timing, DFT).

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.

This position requires access to technology that requires a U.S. export license for persons whose most recent country of citizenship or permanent residence is a U.S. EAR Country Groups D:1, E1, or E2 country. 

We’re looking for a Physical Design Engineer – EMIR to join our silicon team. In this role, you’ll lead EM and IR-drop simulations to ensure robust power delivery, signal integrity, and long-term reliability for high-performance ICs. You’ll work with RTL, physical design, and analysis teams to implement power grid strategies that optimize performance, power, and area (PPA), particularly at advanced nodes like 7nm and below. You’ll also support EMIR sign-off and waiver methodologies across the chip hierarchy.

This role is hybrid, based out of Austin, TX or Santa Clara, CA.

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 physical design specialist with deep experience in EMIR analysis and signoff.
• Comfortable navigating advanced technology nodes and power integrity challenges.
• Proactive and detail-oriented, with a passion for pushing performance and reliability boundaries.
• Collaborative and effective across teams working on RTL, physical design, packaging, and reliability.

What We Need

• 7+ years of experience in physical design or signoff, with a focus on EMIR.
• Hands-on with RedHawk, Voltus, or equivalent industry-standard EMIR tools.
  Strong understanding of IR-drop mitigation, EM compliance, and power grid design.
• Proficiency with layout extraction flows, RC modeling, and metal density checks.
• Experience working in advanced nodes (7nm, 5nm, 3nm), and with scripting languages like TCL, Python, Perl, or Shell.
• Knowledge of floorplanning, bump/RDL design, and sign-off flows (DRC/LVS, timing closure).

What You Will Learn

• How to architect and analyze robust power delivery for Tenstorrent’s RISC-V CPUs and AI chips.
• How to integrate EMIR signoff into fast-paced, high-performance chip design cycles.
• Best practices for hierarchical analysis and EMIR methodology across pre- and post-layout flows.
• Cross-functional collaboration for optimizing PPA while meeting stringent reliability goals.

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.

Hudson River Trading (HRT) is a quantitative trading firm at the forefront of technological innovation in global financial markets. We build and deploy cutting-edge systems within one of the world’s most sophisticated computing environments for large-scale research and trading. Our research cluster is the backbone of our success—an HPC environment with GPU and CPU fleets larger than many national labs—and our people are our most important differentiator.

We are seeking a Hardware Strategy & Technology Partnership Lead to bridge the gap between hardware engineering and the technology supply chain. In this role, you will be the primary architect of HRT’s relationships with OEMs, ODMs, and silicon vendors. The ideal candidate understands the CSPs’ business models and how they differentiate, and possesses the expertise to navigate both the bare-metal world and the hyper-scaler ecosystem to ensure HRT always has a competitive edge in compute power and efficiency. You understand the "chip and server" business at a molecular level—not just what an R200 GPU or a Venice processor can do, but how the supply chain, the margins, and vendor roadmaps dictate the industry’s future.

Responsibilities

• Strategic Relationship Management: Lead HRT’s primary relationships with top-tier silicon (CPU/GPU/Storage), server and cloud vendors. Partner with their engineering and product teams to influence roadmaps and secure early access to next-gen tech.
• Vendor Negotiations: Own the end-to-end commercial and technical negotiation process. Leverage your deep understanding of BOM (Bill of Materials) costs and industry margins to drive the best outcomes for HRT’s global infrastructure.
• Supply Chain Intelligence: Act as our internal "SemiAnalysis/SemiAccurate" equivalent. Stay ahead of industry trends, tracking foundry shifts, packaging innovations, and geopolitical impacts on the hardware market to advise our leadership on long-term strategy. Help us decide when to build, when to go to the cloud, and how to optimize our footprint across global data centers.
• Cross-Functional Collaboration: Work side-by-side with our R&D and Trading Tech engineers and data center teams to deeply understand HRT's technology and business, and translate that knowledge into long-term strategic and acquisition planning.

Qualifications

• Deep Industry Knowledge: You have a "feet on both sides" profile, with a background that likely includes time at a major hardware vendor, a hyper-scaler, or a top-tier industry research firm.
• Technical Fluency: You can talk shop with hardware engineers about PCIe lanes, memory bandwidth, and thermal envelopes, but you can also walk into a boardroom and negotiate a multi-million dollar master purchase agreement.
• Market Strategy: You have a proven track record of solving complex infrastructure needs for large-scale compute environments.
• Entrepreneurial Spirit: You are a self-starter who is motivated by the excitement of being at the cutting edge of automation and hardware efficiency.

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000-300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.

FPGAs and ASICs are critical pieces of our technology stack. We are looking for talented hardware developers to architect and design complex systems on a highly collaborative global team. In this role, you'll identify efficient ways to perform on-the-fly transformations of market data and implement models with complex data structures in RTL. Deep knowledge of SystemVerilog, FPGA internals and/or ASIC primitives, computer architecture, and vendor tool suites are essential to succeeding in this role. Expertise in networking protocols, CPU design, and/or machine learning accelerators is a big plus. No financial experience is necessary.

Responsibilities

• Collaborate with a cross-functional team to develop and deploy custom FPGA and/or ASIC solutions for a wide range of trading applications
• Investigate new technologies and tools
• Contribute to a nimble hardware development tech stack

Qualifications

• Ability to describe hardware designs at a high level, low level, or anywhere in between
• Brilliant design, optimization, debugging and problem solving skills
• Professional experience (2+ years) in RTL design for FPGA or ASIC
• Expert SystemVerilog development skills with a thorough understanding of the language 
• Expert on low level FPGA or ASIC architectures, with a deep understanding of what makes them "tick"
• Skilled in network communications, processing pipelines, and/or machine learning
• Working knowledge of Python and/or C++
• Comfortable in a Linux environment
• Strong verification experience
• Familiarity with AMD Vivado is a plus
• A bachelor’s degree in computer science, electrical engineering, or a related field

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Hudson River Trading (HRT) is seeking a Trading Systems Engineer to join our growing Trading Systems Infrastructure team. This team designs, builds, and maintains the infrastructure that powers our global trading, and is responsible for ensuring optimal performance and uptime of the ultra low-latency operating systems, automation software, and development tools that allow our trading strategies to run worldwide 24/7.

As a Trading Systems Engineer, you’ll work on projects focusing on our real-time production trading environment and tackle problems that require high availability, high throughput, and ultra low-latency solutions. The ideal candidate possesses a passion for coding and automation, is eager to learn new skills to help build an elegant stack, and has the ability to handle challenging technical issues within a dynamic and fast-paced environment.

Responsibilities

• Design, manage, automate, and optimize worldwide Linux-based trading infrastructure by planning and executing complex technical projects and tasks
• Troubleshoot hardware and software issues across the stack 
• Design and implement system installations and upgrades 
• Deploy, configure, and test internal and external applications 
• Remain unfazed by production-critical issues, resolving them quickly and efficiently
• Benchmark and tune the performance of the trading stack 
• Hold vendors accountable on performance and reliability issues, with the ability to confidently go toe-to-toe with a vendor's Tier 2 engineering team during an escalation
• Join an on-call rotation schedule to cover trading hours and weekend shifts, as needed

Qualifications

• 7+ years of relevant experience supporting a live production environment (especially trading)
• Expert in installing, configuring, and troubleshooting Linux systems, from hardware and networking to kernel to applications 
• Knowledge of Debian/Ubuntu is desirable
• Proficiency with configuration management tools, particularly SaltStack – strong knowledge of Puppet, Ansible, Chef, or CFEngine is also desirable
• Advanced programming experience focusing on automation and integration; Python is strongly preferred
• Advanced shell (bash) scripting experience
• Significant experience managing and debugging production trading services
• Strong cross-functional communication and organization skills
• Proven ability to manage assigned projects efficiently, ideally using JIRA
• Architect-level cloud experience in AWS or GCP is desirable, but not required

This job is accepting ongoing applications and there is no application deadline.

The estimated base salary range for this position is 150,000 to 250,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.

This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Position Overview:

As the Director of Monetization Strategy, you will be the primary architect of Iterable’s economic engine. You aren't just managing a price list; you are defining how we capture value in a rapidly evolving MarTech ecosystem. You will sit at the intersection of Product, Sales, Finance, and Marketing to design and execute pricing and packaging strategies that drive sustainable growth, expand Net Revenue Retention (NRR), and align our success with our customers' success.

Responsibilities:

• • Strategic Vision: Lead the long-term monetization roadmap. You’ll evolve our current models from usage-based pricing toward value-based frameworks that reflect the power of our AI-driven orchestration.
  • Cross-Functional Leadership: Act as the "connective tissue" between Product (to price new features, and ensure our roadmap is optimized for capturing value), Marketing (to position value), and Sales (to ensure deal velocity).
  • Market Intelligence: Conduct deep-dive competitive analysis and buyer research to identify gaps in our current monetization strategy and capitalize on emerging market trends.
  • Packaging & Tiering: Design and optimize product bundles and editions that simplify the buying process for mid-market and enterprise customers alike.
  • Operational Excellence: Partner with RevOps to implement pricing changes within our systems (CPQ, billing) and develop the discounting frameworks and "guardrails" for the field.
  • Change Management: Lead the internal enablement for global sales teams, ensuring they can confidently articulate the "why" behind our pricing.

Qualifications:

• You have 10+ years of experience in SaaS monetization, management consulting, or strategic finance. You think in systems and understand the downstream impacts of a single pricing lever.
• You have direct experience in SaaS monetization, with a particular focus on monetizing AI
• You are comfortable navigating complex datasets to find the "signal" in the noise. You use data to prove your hypotheses about price elasticity and expansion paths.
• You can distill complex economic theories into simple, persuasive narratives for the Executive Leadership Team (ELT).
• You don't just want a seat at the table; you want to build the table. You enjoy creating processes where none existed.

Bonus Points

• Experience building and productionizing LLM based, agentic or autonomous systems that handle complex orchestration and evaluation.
• Experience establishing shared AI platforms or internal developer enablement capabilities
• Familiarity with analytics systems, experimentation workflows, or decisioning frameworks

Perks & Benefits:

• Paid parental leave
• Competitive salaries, meaningful equity, & 401(k) plan
• Medical, dental, vision, & life insurance
• Balance Days (additional paid holidays)
• Fertility & Adoption Assistance
• Paid Sabbatical
• Flexible PTO
• Monthly Employee Wellness allowance 
• Monthly Professional Development allowance 
• Pre-tax commuter benefits
• Complete laptop workstation

The US base salary range for this position at the start of employment is $172,000 - $260,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

Please note that the range listed above reflects only base salary. The total compensation package includes variable pay (where applicable), equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

The Role: 

Forge’s platform engineering team is passionate about innovation and building scalable, secure infrastructure solutions that drive liquidity and growth in the private market. Our teams are leveraging a broad range of technologies to support our core platform, Metal, and we thrive on moving fast, delivering value, and living our values of being bold, humble and accountable.

We are seeking a passionate platform engineer with at least 7 years of experience delivering robust infrastructure solutions that are scalable, secure, and easy to maintain. The ideal candidate thrives in team settings and is motivated by creating success all around them through strong communication, architecting great developer experiences, and making data-driven decisions.

To succeed in the Staff Platform Engineer role at Forge, you'll leverage your infrastructure and software expertise to successfully deliver high-quality platforms both individually and through technical leadership of others. You will have the ability to take on advanced infrastructure projects—ranging from multi-cluster orchestration to SOC 2 compliance automation—while also being a productive and collaborative member of the team.

Location: This position is remote in Denver, CO. We intend to open an office in Denver and once we do, we will require hybrid attendance onsite at least 9 days each month.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 7+ years of experience in software or platform engineering with a strong focus on infrastructure and DevOps
• Deep, hands-on expertise in Kubernetes administration and the cloud-native ecosystem
• Advanced proficiency in Infrastructure as Code (IaC) using Terraform
• Extensive experience designing and operating GitOps workflows (e.g., Argo CD, Flux)
• Strong software engineering skills with the ability to read, write, and debug code across multiple application

Preferred Skills (Nice-to-Have)

• Experience with C# and Dotnet framework
• Experience with Azure and AWS Cloud infrastructure.
• Experience working in geographically distributed teams
• Fintech or Financial services industry experience.

For residents of Denver, CO the annual salary range for this role is $150,000 - $170,000+ annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors

We are Datadog's in-house product experts. The Technical Solutions team enables Datadog’s worldwide growth by educating potential clients and ensuring that existing customers are happy and successful. As a Technical Account Manager 2 (TAM 2), you’ll serve as a trusted advisor to our strategic customers, accelerating their adoption of the Datadog platform and enabling long-term success. TAM 2s bring deep technical expertise, refined customer skills, and consultative insight into how monitoring, observability, and DevOps practices translate to business value.

At Datadog, we place value in our office culture—the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Act as a technical advisor to 3 primary enterprise accounts, ensuring successful product adoption and effective usage of the Datadog platform.
• Lead enablement and adoption sessions across core product areas tailored to your customer’s architecture and business needs.
• Analyze customers’ IT Operations environments and workflows to recommend configuration, product usage, and performance improvements.
• Deliver technical business reviews, health checks, and account maturity assessments, contributing to customer QBRs with impactful recommendations.
• Escalate product issues appropriately and advocate for your customers’ needs with Datadog’s Product and Engineering teams.
• Create executive-level summaries and insights that tie platform usage to business outcomes.
• Participate in internal TAM strategy sessions and contribute to team learning through feature presentations, case studies, or best-practice sharing

Who You Are:

• You have 2+ years of experience in a technical customer-facing role (TAM, Solutions Architect, SRE, DevOps Engineer, or similar) within the cloud or observability space.
• You’re confident with at least two public cloud platforms (e.g. AWS, Azure, GCP) and have hands-on experience with infrastructure or application monitoring.
• You’re familiar with scripting or automation tools (e.g. Python, Bash, Terraform, Chef/Puppet).
• You have working knowledge of CI/CD pipelines and containerization tools (e.g. Jenkins, GitLab, Docker, Kubernetes).
• You excel at communicating technical concepts to both technical and non-technical stakeholders, and can adapt your style for individual contributors or exec audiences.
• You’re able to work with minimal guidance on customer enablement, issue triage, and product adoption strategies.
• You are comfortable traveling up to 25–30% of the time as needed (via auto, air, or train).
• Previous experience using Datadog or other cloud monitoring tools is a strong plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding program
• Generous global benefits package
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, including Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

We are Datadog's in-house product experts. The technical solutions team enables Datadog's worldwide growth by educating potential clients and ensuring that existing customers are happy and successful.

The Partner Solution Architect (PSA) is a Datadog expert who will work closely with Datadog’s Director of Partner Solutions Architects, and is aligned to our Channels & Alliances business segment. The PSA is responsible for supporting a variety of technical initiatives and activities for our partners (for example: cloud migration, application modernization, DevOps transformation). They are accountable for the outcome of these initiatives, and frequently collaborate with both Datadog and Partner resources to drive success. The PSA is a trusted technical advisor for our Partner channel.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Ensure the successful onboarding, training, enablement, and certification of partner technical resources;
• Participate in periodic joint business planning and review sessions to ensure direct alignment between Datadog and Partner technical teams;
• Collaborate internally to support Partner technical initiatives such as end-customer demonstrations and proofs of value; partner team enablement workshops; assessment, advice, and coaching on lead practices;
• Advocate on behalf of Partners’ technical concerns (use cases, feature requests, support issues, e.g.) with Datadog internal teams and personnel, helping to bring those concerns to resolution;
• Analyze and understand Partner service offerings on a regular basis and provide recommendations to enhance the value of those services through greater or improved adoption of Datadog features and capabilities;
• Collaborate with Datadog’s product management, engineering and technical services teams to help identify and prioritize new features and capabilities;
• Continuously help curate and evolve lead/best practices for Datadog platform adoption and success.
  
  

Who You Are:

• Possess a solid technical grounding with hands-on experience of IT Development and/or Operations
• Has a demonstrable track-record and never-ending passion for learning; successful candidates for this position typically have 10-15 years of experience in a customer or partner facing technical role
• A self-starter, tech-savvy professional with solid business acumen; ability to articulate Datadog value from server room to boardroom;
• Confident presentation skills
• Desired hands-on experience in two or more of the following areas:
• Observability: Datadog, Splunk, AppD, New Relic or Dynatrace
• Public Cloud: AWS, Azure, GCP, or Alibaba
• Containerization: Docker, Kubernetes, OpenShift, Cloud Foundry
• Dev/Scripting: Python, Javascript, Ruby, Perl, PHP, Go
• Config Mgmt: Terraform, Ansible, Puppet, Chef
• CI / CD: Jenkins, Gitlab
• Bonus Points:
• Previous experience working in a technical role for or supporting channel partners (Systems Integrators, Managed Services Providers, e.g.)
• Previous experience using Datadog and/or other cloud monitoring tools (APM, 
• Infrastructure, Logs, Synthetics, NPM)
• Previous experience with root-cause-analysis, troubleshooting, debugging

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

Datadog’s LLM Observability product enables organizations to monitor, troubleshoot, and optimize large-scale LLM-powered applications with confidence, while meeting requirements around data privacy, compliance, and cost management. As a Product Solutions Architect, you will partner closely with Datadog customers and the LLM Observability product team to design architectures, implement best practices, and drive adoption of LLM observability across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as the in-house subject matter expert for Datadog’s LLM Observability product
• Partner with Field teams to provide hands-on technical and architectural guidance to enterprise customers adopting LLM Observability
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience

Who You Are: 

• You bring a strong software engineering foundation, with hands-on experience building and operating LLM-powered applications in production environments, and are comfortable diving deep into codebases to understand architectural decisions, tradeoffs, and implementation details
• You are familiar with distributed systems and core observability concepts, such as tracing, metrics, and logging, and can translate those patterns into the emerging LLM observability domain, including LLM spans, evaluations, and prompt templates
• You have experience with languages such as Python and/or JavaScript/TypeScript
• You are comfortable operating in rapidly evolving, ambiguous technical domains
• You build deep context across teams and translate it into reusable, scalable solutions
• You take ownership from problem definition through implementation and measurable outcomes
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train, or air up to 40% of the time 

Bonus Points:

• Successful track record with 5+ years experience working as an Architect or Consultant 
• Experience using Datadog and/or other observability tools in an SRE or DevOps capacity
• Experience with LLM application evaluation and testing frameworks

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

The Product Solutions Architecture (PSA) team acts as a technical multiplier across Datadog. PSAs are domain experts who partner with Field teams on complex customer use cases across pre- and post-sales engagements and scale their impact by producing reusable collateral, including reference architectures, technical guides, and enablement assets. By feeding real-world customer insights back to Datadog Product teams, PSAs help influence product roadmaps while accelerating adoption, usage, and long-term customer success.

The Digital Experience & Experimentation family of products includes Product Analytics, Feature Flags, Experimentation, and Session Replay and is a fast-growing segment at Datadog and addresses a distinct buyer, product managers, digital experience teams, and product engineers building and optimizing customer-facing applications. As a Product Solutions Architect, you will partner closely with Datadog customers and the Product team to design architectures, implement best practices, and drive adoption of this digital experience product family across customer environments.

At Datadog, we place value in our office culture - the relationships and collaboration it builds, and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as an in-house subject matter expert for the Datadog Product Analytics, Feature Flags, Experimentation, and Session Replay and related products.
• Partner with field teams to offer guidance on architecture choices, SDK instrumentation, data collection, and best practices to large Enterprise customers as they adopt the product family.
• Act as a trusted advisor to Product Management by delivering actionable feedback informed by real-world field experience.
• Create high-impact technical collateral, including reference architectures, technical guides, cookbooks, and documentation to enable Field teams and the broader customer community.
• Build world class training material, solutions briefs, blogs, and documentation to the wider Datadog field technical teams over the latest product features and capabilities.
• Collaborate with other teams at Datadog including Marketing, Sales, Community, Documentation, and Evangelism to ensure the success of the Product Analytics product family.
• Build proofs of concept and small-scale deployments to validate solutions and reproduce real-world customer environments.
• Collaborate on defining the technical GTM motion for Feature Flags and Experimentation, including competitive positioning against competitors to enable Sales Engineers globally to run these conversations independently.

Who You Are:

• 5+ years of experience solving complex problems for customers and a strong knowledge of building applications, specifically using product analytics, feature flagging, or digital experience tooling.
• You have excellent verbal and written communication skills.
• Familiarity with product analytics platforms and optimizing them for Enterprise level production usage (e.g. Adobe Analytics, Google Analytics, Amplitude, Mixpanel, Heap, Contentsquare, FullStory, PostHog).
• Fluent in the digital experience and product analytics market domain, competition, technological shifts, and customer needs related to feature flag management, experimentation, and session replay.
• In-depth knowledge or experience with leveraging feature flag and experimentation tools (LaunchDarkly, Eppo, Split, Optimizely, etc.) and session replay platforms (FullStory, Contentsquare, Microsoft Clarity, etc.).
• Someone who can analyze Codebase and understands CI/CD, branch strategies and how that can influence Feature Flags.
• Experience with commonly used web and mobile languages and frameworks such as JavaScript, TypeScript, React, Python, iOS/Swift, Android/Kotlin, and file formats such as JSON and YAML.
• You are comfortable operating in rapidly evolving, ambiguous technical domains.
• You build deep context across teams and translate it into reusable, scalable solutions.
• You take ownership from problem definition through implementation and measurable outcomes.
• You are highly detail-oriented, particularly when working on architectures and customer-facing technical assets
• You bring strong listening and consultative skills and are experienced supporting customers in high-pressure, complex situations.
• Able to sit up to 4 hours, traveling to and from client sites.
• Able to travel via auto, train, or air up to 40% of the time.

Bonus Points:

• Successful track record with 5+ years experience working as a Growth Engineering 
• Experience using Datadog and/or other observability tools with Product Analytics, or Feature Flags.
• Have proven experience deploying observability or analytics instrumentation in production environments at scale.
• Background in experimentation program design, defining success metrics, guard rails, and statistical significance frameworks for A/B tests.
• Experience with privacy-by-design and data governance for session replay, including PII masking, consent management, and data residency requirements in regulated industries.
• Experience collaborating with open source projects and active engagement within associated communities.

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Datadog’s Implementation Services team helps customers implement and deploy Datadog quickly. Our team of architects leads the discovery, design, build, and launch of the Datadog platform to help customers accelerate time to value and get the most out of their investment. As a member of our team, you will be responsible for developing the technical roadmap for a customer’s implementation, and leading them through it every step of the way.   

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Design and guide execution of Datadog implementations, including gathering requirements, building technical architecture, and supporting deployment and launch
• Guide customer onboarding through co-development working sessions and assist when they run into roadblocks
• Write automation and design architecture for deployment templates 
• Manage the operation of implementation projects 
• Collaborate with other teams, including Customer Success, Technical Account Management, and Sales to deliver an exceptional onboarding experience

Who You Are:

• Experience designing and delivering technical solutions for DevOps Monitoring or architecture systems
• Hands-on experience with cloud platforms (AWS, Azure, GCP) and compute technologies (EC2, serverless, VMware, VMs, Docker, Kubernetes).
• Experience with Config Management, IAC and CI/CD tools, including Ansible, Puppet, Terraform, Chef, Jenkins, Circle CI, GitHub Actions, Azure Pipelines, etc…
• Experience programming/scripting with any of the following: Java, Python, Ruby, Go, Node.JS, PHP, and .NET etc
• Background in security operations, including SOC management, SIEM tooling (e.g. Splunk Professional Services), and designing or supporting zero-trust networking architectures
• Successful track record with 5+ years experience as an Architect or Consultant in a professional services team
• Able to sit up to 4 hours, traveling to and from client sites 
• Able to travel via auto, train or air up to 30% of the time

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Best-in-breed onboarding
• Generous global benefits
• Intra-departmental mentor and buddy program for in-house networking
• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• An inclusive company culture, able to join our Community Guilds and Inclusion Talks

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Location: Remote 

Position Summary: 

Join our Scalability team as a Senior Scalability Engineer focused on streaming and realtime systems. In this role, you will own the architecture and expansion of our streaming data infrastructure, including WAL-based database replication, change data capture (CDC) systems, and realtime event processing. Your work will handle systems processing hundreds of thousands to millions of records per batch while maintaining strict ordering guarantees and exactly-once semantics. Working closely with our clients and cross-functional teams, you'll build foundational streaming infrastructure while partnering directly with product teams to implement realtime capabilities that power critical business workflows. 

Position Responsibilities: 

In this role, you'll provide technical leadership while delivering hands-on solutions for high-impact performance challenges. You will: 

• Own streaming infrastructure: Design, implement, and expand WAL-based replication systems that process database changes through Kinesis to Snowflake and Redshift, handling millions of records while maintaining strict ordering and delivery guarantees. 
• Build CDC systems: Architect and implement change data capture infrastructure for cross-platform data synchronization, enabling realtime analytics and event-driven workflows across the organization. 
• Develop shared libraries: Create reusable Kinesis/SNS consumer patterns and libraries used across multiple teams, establishing best practices for event processing, error handling, and observability. 
• Partner with product teams: Work directly with teams to design and implement realtime data processing solutions tailored to their business needs, providing technical guidance and hands-on support. 
• Ensure data reliability: Implement exactly-once processing semantics, dead letter queues, retry strategies, and monitoring to guarantee data integrity across streaming pipelines. 
• Build observability: Develop monitoring, alerting, and dashboards for streaming pipelines to track throughput, lag, data quality issues, and system health using the LGTM stack.  
• Demonstrate technical leadership: Mentor engineers on streaming architecture patterns, lead design reviews for event-driven systems, and represent the Scalability team in cross-functional planning. 
• Make strong architectural choices through careful evaluation and prior experience with distributed systems.
• Responsible for adherence to the Capital Rx Code of Conduct, including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering experience with demonstrated progression into technical leadership roles. 
• 3+ years of experience leading technical initiatives, architecting distributed systems, or serving as a subject matter expert on streaming infrastructure. 
• Strong expertise in Python (Flask/SQLAlchemy) for production applications. 
• Deep PostgreSQL knowledge: Understanding of write-ahead logs, replication, logical decoding, and change data capture mechanisms.
• Production streaming experience: Proven track record building and operating high-throughput streaming systems using Kinesis, Kafka, or similar event streaming platforms. 
• Distributed systems expertise: Strong understanding of ordering guarantees, exactly-once semantics, partition strategies, backpressure handling, and fault tolerance patterns. 
• AWS experience: Production experience with Kinesis, S3, SNS/SQS, Lambda, ECS, and data pipeline orchestration.  
• Data warehouse knowledge: Experience loading data into Redshift, Snowflake, or similar analytical databases.  
• Systems thinking: Ability to design resilient, observable streaming architectures that balance throughput, latency, and reliability.  
• Collaboration and communication: Strong written and verbal communication skills with ability to work autonomously while driving proactive collaboration in a remote environment. 

(Optional) Preferred Qualifications:   

• Rust development experience or strong interest in learning Rust for high-performance systems.
• Infrastructure as code: Experience with Terraform or similar IaC tools for managing cloud infrastructure. 
• Observability tools: Hands-on experience with Grafana, Prometheus, Loki, or similar monitoring/alerting platforms.  
• Event-driven architectures: Background designing event sourcing, CQRS, or other event-driven patterns.
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

Location: Remote 

Position Summary: 

Our Scalability team as a Senior Scalability Engineer focused on observability platform development and engineering productivity. In this role, you will define, own, and build Judi Health's organization-wide observability strategy, tooling, and platform products. Beyond maintaining infrastructure, you'll architect and develop a custom observability platform that gives engineering teams powerful, fast, and cost-effective visibility into every layer of our infrastructure—from application logs and metrics to distributed traces. You'll build production-grade internal products using React/TypeScript frontends with Python and Rust backends, creating tools that fundamentally improve how engineers at Judi Health debug, monitor, and optimize their systems. Working closely with leadership and cross-functional teams, your work will be foundational to platform stability, performance optimization, and developer productivity across our rapidly growing healthcare platform. 

Position Responsibilities: 

In this role, you'll own the observability infrastructure that powers our engineering organization. You will:  

• Architect observability platform: Design, implement, and maintain the LGTM stack (Loki, Grafana, Tempo, Mimir/Prometheus) as the primary observability platform across all engineering teams, making architectural decisions that balance cost, performance, and developer experience.
• Build internal observability products: Design and develop production-grade internal platform products with React/TypeScript frontends and Python/Rust backends that provide engineers with powerful log search, metrics visualization, and trace analysis capabilities.
• Develop custom log indexing systems: Architect and build high-performance log indexing solutions using Rust that process logs and provide sub-second search across billions of log lines at a fraction of the cost.
• Integrate SQL analytics for logs: Design and implement solutions leveraging AWS Athena or similar SQL query engines (DuckDB, ClickHouse) for ad-hoc log analysis and historical queries, enabling engineers to run complex SQL queries over S3-based log data for deep investigations and trend analysis. 
• Create advanced query interfaces: Build sophisticated web interfaces that allow engineers to query logs, metrics, and traces with features like saved queries, query templates, correlation analysis, and pattern detection, supporting both full-text search and SQL-based analytics. 
• Balance cloud-native and open-source: Architect solutions that thoughtfully leverage both AWS-managed services (CloudWatch, Athena, Kinesis) and open-source tooling (LGTM stack, Quickwit) to optimize for cost, performance, and operational flexibility based on use case requirements. 
• Integrate AWS observability: Design seamless integration between AWS CloudWatch Logs/Metrics and our custom observability platform, providing unified visibility across managed and self-hosted infrastructure. 
• Build intelligent alerting: Develop smart dashboards, monitors, and alerting systems that reduce noise, detect anomalies, and help teams respond to incidents quickly. 
• Partner with engineering teams: Work directly with product teams to integrate observability into their services, establish logging and metrics standards, and instrument code effectively, serving as the observability subject matter expert. 
• Enable performance optimization: Provide the observability foundation that allows the Scalability team to identify performance bottlenecks, track optimization impact, and measure platform stability with data-driven insights. 
• Establish observability standards: Define and document comprehensive observability standards including structured logging patterns, metric naming conventions, trace instrumentation, dashboard design principles, and query best practices. 
• Drive platform adoption: Lead workshops, create documentation, and build self-service tooling that democratizes observability across engineering, making it easy for teams to adopt best practices. 
• Demonstrate technical leadership: Mentor engineers on observability practices, lead architecture reviews for instrumentation approaches, and represent the Scalability team in cross-functional planning. 
• Work in an Agile/Scrum environment to continually deliver value to stakeholders and clients. 
• Code of Conduct: Responsible for adherence to the Capital Rx Code of Conduct including reporting of noncompliance. 

Required Qualifications: 

• 10+ years of software engineering or infrastructure engineering experience with demonstrated progression into technical leadership roles. 
• Several years of experience leading technical initiatives, building platform products, or serving as a subject matter expert on observability infrastructure. 
• Strong experience with React/TypeScript for frontend development and Python (Flask/SQLAlchemy) for backend services. 
• LGTM stack expertise: Deep production experience with Loki, Grafana, Tempo, and Prometheus/Mimir for logs, metrics, and distributed tracing at scale. 
• AWS observability: Extensive experience with AWS CloudWatch Logs and Metrics, including custom metrics, log insights, dashboard creation, and integration patterns. 
• SQL analytics for logs: Production experience with SQL-based log analytics using AWS Athena, DuckDB, or similar query engines for analyzing structured and semi-structured data at scale. 
• Cloud-native and open-source balance: Demonstrated ability to architect solutions leveraging both managed cloud services and open-source tooling, understanding trade-offs between operational overhead, cost, flexibility, and vendor lock-in. 
• Search and indexing experience: Hands-on experience building or operating search systems using OpenSearch, Elasticsearch, Lucene, Tantivy, or similar search and analytics engines. 
• Performance-critical systems: Experience building high-performance systems that process large volumes of data efficiently (millions of log lines, high-cardinality metrics). 
• Systems thinking: Deep understanding of distributed systems, microservices architectures, and the complex observability challenges they present. 
• Data at scale: Proven track record handling high-volume structured and unstructured logging data, identifying patterns, and building efficient search/query solutions that perform well under load. 
• Product mindset: Ability to build internal platform products that engineers love to use, with attention to UX, performance, and reliability. 

Preferred Qualifications: 

• Rust development experience: Production experience with Rust for building high-performance data processing, indexing, or search systems. Strong interest in learning Rust is acceptable if combined with systems programming experience in C/C++/Go. 
• Infrastructure as code: Experience with Terraform for managing observability infrastructure and AWS resources. 
• Additional observability platforms: Experience architecting or operating Datadog, New Relic, Splunk, or other enterprise observability platforms. 
• Advanced query languages: Deep expertise with PromQL, LogQL, SQL optimization, and query optimization for high-cardinality data. 
• Columnar storage formats: Experience with Parquet, ORC, or other columnar storage formats for efficient log storage and analytics on S3. 
• Incident management: Experience designing incident response workflows, postmortem processes, and SLO/SLI frameworks that drive reliability improvements. 
• Cost optimization: Track record of reducing observability costs while maintaining or improving capabilities (e.g., CloudWatch → S3/custom indexing migration). 
• Data pipelines: Experience with streaming data pipelines, ETL processes, or real-time data processing. 
• Distributed tracing: Deep knowledge of OpenTelemetry, Jaeger, Zipkin, or distributed tracing architectures. 
• Git expertise and experience working in a mono repository. 
• Previous Pharmacy Benefits Manager (PBM) or healthcare technology experience. 
• Experience building developer tools or internal platforms that improve engineering productivity. 

This range represents the low and high end of the anticipated base salary range for the NY - based position. The actual base salary will depend on several factors such as: experience, knowledge, and skills, and if the location of the job changes. 

Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. 

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             

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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.

*This position is fully remote with some travel possible to Colorado Springs and client sites, Active Top Secret (min) Security Clearance Required

JOB SUMMARY:

The Analytics Architect serves as a senior, customer-facing technical leader responsible for delivering high-impact analytics architecture, consulting, and project execution, with a primary focus on the State of Colorado’s Office of Information Technology. This role partners closely with state stakeholders to design, implement, and evolve enterprise-scale analytics solutions, acting as a trusted advisor and lead architect throughout the delivery lifecycle. In parallel, the Analytics Architect supports presales efforts across Trace3 Government’s Data & Analytics portfolio, serving as the primary technical resource in solution discussions with customers, account executives, and technology partners. This includes helping scope and shape solutions, contributing to service design and Statements of Work (SOWs), and ensuring technical alignment between customer requirements and proposed solutions. Success in this role requires deep expertise in Splunk, including Enterprise Security, as well as working knowledge of ITSI and SOAR, combined with strong communication skills and the ability to bridge delivery execution with strategic growth initiatives.

The Analytics Architect builds and maintains strong executive‑level relationships within the State of Colorado and other strategically important accounts, helping translate business objectives into effective analytics solutions that improve operational and mission outcomes. Success in this role requires experience leading complex system integrations, guiding solution development to meet strict functional and security requirements, and developing technical roadmaps that align platform capabilities with long‑term customer needs. The ideal candidate can clearly communicate enterprise analytics best practices and architectural tradeoffs to both engineering teams and business stakeholders, serving as a bridge between strategy and execution.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Assess customer technical and operational requirements, with a primary focus on the State of Colorado, and develop near- and long-term analytics strategies aligned to existing environments, regulatory constraints, and funding models.
• Lead technical discovery and solution shaping in collaboration with account executives, customers, and technology partners, providing presales architectural guidance across Trace3 Government's Data & Analytics portfolio (not limited to Splunk).
• Serve as a senior technical resource throughout presales and delivery activities, contributing to solution design, architectural validation, service scoping, and Statements of Work (SOWs), while ensuring alignment with customer objectives and delivery best practices.
• Independently perform complex architecture and consulting activities while collaborating with peer architects and engineers to stay current on vendor capabilities, platform best practices, and emerging analytics solutions for regulated environments.
• Lead technical solution definition and service scoping, including contributing to architectures, solution designs, and Statements of Work (SOWs); support Bill of Materials (BOMs) development as needed to ensure alignment with customer requirements and delivery outcomes.
• Apply delivery and architectural expertise to continuously improve presales-to-delivery workflows, tooling, and technical engagement models; provide recommendations to leadership based on real-world customer and project experience.
• Use a consultative, collaborative approach to bridge account executives, engineering teams, and customers to ensure technical feasibility, clear expectations, and smooth handoff from presales to delivery.
• Support strategic account planning and technical execution by aligning customer objectives, platform capabilities, and delivery methodologies to drive long-term analytics success within target government environments.

REQUIRED SKILLS AND EXPERIENCE:

• YEARS OF EXPERIENCE: 8 years of experience, or 12 years of relevant experience.
• EDUCATION: minimum of a bachelor’s degree, 5+ years demonstrated experience leading enterprise data architecture assessments, design, and build out.
• CERTIFICATION: minimum of a Splunk Enterprise Certified Architect, preferred Splunk Core Certified Consultant.
• SECURITY CLEARANCE: Top Secret security clearance
• EDUCATION: Technical BA/BS (Engineering, Computer Science, Cyber Security, Math, or Physics) or equivalent preferred.

PHYSICAL DEMANDS:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.

While performing the duties of this job, the employee is regularly required to:

• Remain in a stationary position for extended periods of time.
• Operate a computer, keyboard, and other office equipment using hands and fingers.
• Communicate effectively in person, over the phone, and through electronic means.
• Occasionally move about the office to access files, office equipment, and meeting spaces.
• Lift and/or move up to 15 pounds as needed.
• Maintain specific vision abilities, including close vision and the ability to adjust focus.

WORK ENVIRONMENT:

This position is performed within a secure, classified workspace. Employees must comply with all applicable security protocols and access control procedures, including restrictions on personal electronic devices and the handling of sensitive information.

Location: Denver, Colorado  Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

As an Account Executive, you will be a high-performing leader within our North American Enterprise Sales organization, responsible for accelerating our growth in one of our most strategic markets. You will serve as the primary architect for large-scale digital transformations that redefine how the United States leading brands interact with their customers. Your single most important outcome is to meet and exceed revenue growth objectives by positioning LivePerson’s AI-led value proposition to C-level stakeholders. Reporting to the Director, Sales, this role sits within our Field Sales organization and is pivotal to our expansion within the US market.

You Will: Key Responsibilities & Impact

Strategic Sales & Territory Leadership:

• Formulate and execute a comprehensive go-to-market territory strategy to identify and qualify high-value opportunities within your target list.
• Continuously build and maintain a robust sales pipeline, leveraging a variety of prospecting methods to ensure long-term revenue predictability.
• Drive the end-to-end sales process for complex, transformational technology deals, ensuring a consistent track record of meeting and exceeding annual quotas.

Executive Engagement & Value Positioning:

• Target and engage key decision-makers across Sales, Marketing, IT, and Contact Centers to position LivePerson as a strategic partner.
• Present high-impact business cases to C-level prospects, utilizing ROI analysis and data-led insights to articulate the value of Conversational AI.
• Master the MEDDPICC qualification framework to ensure rigorous deal management and accurate monthly/quarterly forecasting.

Cross-Functional Collaboration:

• Act as the "CEO of your territory," orchestrating internal resources including Inside Sales, Solution Consultants, Legal, Marketing, and Professional Services to deliver seamless customer experiences.
• Collaborate with the Product and Success teams to ensure the "voice of the customer" is reflected in our roadmap.

You Have: Required Skills & Qualifications

Professional Experience & Education:

• 6+ years of professional sales experience, with at least 4+ years specifically managing large, complex enterprise software sales.
• Proven track record of success in SaaS, BPO, CX and CCaas platforms, or online marketing sales environments.
• Extensive experience in Strategic Value-Based Selling, including buyer group identification and complex business case definition.
• Bachelor's Degree of equivalent

Technical & Operational Expertise:

• Deep understanding of transformational technology and the ability to "nerd out" about AI applications and data-led decision-making.
• Operational excellence in managing long sales cycles, with a disciplined approach to CRM hygiene and pipeline management.
• Familiarity with the digital transformation landscape in the US, including local consumer behaviors and enterprise procurement processes.

Attributes & Mindset:

• Growth Mindset: You are curious, embrace coaching, and view feedback or failure as a mandatory fuel for growth.
• Entrepreneurial Spirit: You are a self-starter who thrives in fast-paced, dynamic environments and can inspire passion in others.
• Customer-Obsessed: You deliver excellence in service and are committed to fostering a collaborative team environment to achieve the best results for the client.

The base salary range for this role will be between $110,000 to $140,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

JOB SUMMARY:

The Delivery Engineer | Splunk, will provide technical expertise in providing guidance on levels of effort for configuring, installing, and developing against Splunk: platform for operational intelligence. This position is a customer facing role and will be responsible for delivering project related consulting services to analyze the massive streams of machine data generated by IT systems and technology infrastructure—physical, virtual and in the cloud.

SUMMARY OF ESSENTIAL JOB FUNCTIONS:

• Drive complex deployments and integration of Splunk while working side by side with the customers to solve their unique problems across a variety of use cases.
• Collaborate across the entire organization to bring access to product and technical teams, to get the right solution delivered and drive feature innovation gathered from customer input.
• Leverage previous experiences, share best practices and create innovative solutions to push user adoption and maximize the value of Splunk.
• Collaborate with and enable customers to solve the next wave of questions on their own.
• May perform other duties as assigned by supervisor.

REQUIRED SKILLS AND EXPERIENCE:

• A minimum of 3 years of current experience in technical consulting or big data analytics.
• Ability to quickly explore, examine and understand data from multiple disparate sources and how it relates to the customer’s business.
• Demonstrable understanding of common enterprise applications (especially in the areas of security and finance).
• Experience with both the Unix and Windows operating systems; comfortable on the command line interface.
• Working knowledge and recent experience with scripting languages (bash), application development (java, python, .NET), databases and analytical tools.
• Ability to collaborate with technical and non-technical consumers from IT administrators to executive level stakeholders.
• Well organized with a healthy sense of urgency - able to set, communicate, and meet aggressive deadlines with competing priorities.
• Excellent speaking and customer interaction skills.
• Not required, but a plus: statistical and analytical modeling.
• This is a remote, contract position and eligible candidates must be located in the United States.

EDUCATION / KNOWLEDGE / CERTIFICATIONS

• BA/BS in computer science, computer engineering, finance or mathematics or other related fields
• Splunk Enterprise Certified Admin
• Splunk Enterprise Security Certified Admin
• Splunk Cloud Certified Admin
• Splunk Enterprise Certified Architect 
• Splunk Core Certified Consultant

Appian is seeking a strategic and technical Senior Email Marketing Manager to lead our global email ecosystem. This role is responsible for the overarching marketing email strategy, ensuring high-standard domain health, and architecting sophisticated nurture programs that align with our global marketing campaign framework. You will define the governance for audience segmentation, send frequency, and list hierarchies to ensure a premium experience for our subscribers. You will be the strategic lead ensuring all email communications drive meaningful engagement and pipeline acceleration.

Qualifications

• Experience developing and implementing global email marketing strategies, including audience targeting, send cadence, and governance.

• Strong understanding of list management, suppression rules, exclusion logic, and database fatigue prevention.

• Experience managing end-to-end email content calendars aligned to broader marketing and business objectives.

• Proven ability to architect and optimize automated nurture programs aligned to the buyer journey and campaign strategy.

• Experience partnering with Global Campaign Managers or cross-functional marketing teams to integrate email nurtures into larger campaign initiatives.

• Ability to use email performance data to influence campaign themes, audience segmentation, and future optimization.

• Strong understanding of email deliverability, domain health, opt-in/opt-out trends, and batch sending protocols.

• Knowledge of global data privacy regulations, including GDPR and CCPA.

• Experience conducting deliverability and performance audits to identify technical optimization opportunities.

• Ability to provide strategic guidance to team members executing point-in-time and nurture email campaigns.

• Experience collaborating with Marketing Operations to ensure clean data flow between Marketo and sales enablement tools.

Qualifications

• Education: Bachelor’s degree in Marketing, Communications, Business, or a related field.
• Experience: 7+ years of related experience in email marketing, with a deep focus on B2B technology.
• Technical Expertise: Advanced, hands-on experience with Marketo is a must.
• Strategic Mindset: Proven track record of developing global email strategies and managing complex automation workflows.
• Analytical Skills: Strong ability to interpret email metrics and translate them into actionable insights for the broader marketing team.
• Communication: Excellent written and verbal communication skills, with a focus on stakeholder management and enablement.

The base salary for this role is between $100,000–$200,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

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

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

#LI-MB1 

Appian is seeking a strategic and technical Senior Email Marketing Manager to lead our global email ecosystem. This role is responsible for the overarching marketing email strategy, ensuring high-standard domain health, and architecting sophisticated nurture programs that align with our global marketing campaign framework. You will define the governance for audience segmentation, send frequency, and list hierarchies to ensure a premium experience for our subscribers. You will be the strategic lead ensuring all email communications drive meaningful engagement and pipeline acceleration.

Qualifications

• Experience developing and implementing global email marketing strategies, including audience targeting, send cadence, and governance.

• Strong understanding of list management, suppression rules, exclusion logic, and database fatigue prevention.

• Experience managing end-to-end email content calendars aligned to broader marketing and business objectives.

• Proven ability to architect and optimize automated nurture programs aligned to the buyer journey and campaign strategy.

• Experience partnering with Global Campaign Managers or cross-functional marketing teams to integrate email nurtures into larger campaign initiatives.

• Ability to use email performance data to influence campaign themes, audience segmentation, and future optimization.

• Strong understanding of email deliverability, domain health, opt-in/opt-out trends, and batch sending protocols.

• Knowledge of global data privacy regulations, including GDPR and CCPA.

• Experience conducting deliverability and performance audits to identify technical optimization opportunities.

• Ability to provide strategic guidance to team members executing point-in-time and nurture email campaigns.

• Experience collaborating with Marketing Operations to ensure clean data flow between Marketo and sales enablement tools.

Qualifications

• Education: Bachelor’s degree in Marketing, Communications, Business, or a related field.
• Experience: 7+ years of related experience in email marketing, with a deep focus on B2B technology.
• Technical Expertise: Advanced, hands-on experience with Marketo is a must.
• Strategic Mindset: Proven track record of developing global email strategies and managing complex automation workflows.
• Analytical Skills: Strong ability to interpret email metrics and translate them into actionable insights for the broader marketing team.
• Communication: Excellent written and verbal communication skills, with a focus on stakeholder management and enablement.

The base salary for this role is between $100,000–$200,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

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

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

#LI-MB1 

YOUR MISSION

RESPONSIBILITIES 

True Anomaly is seeking a highly accomplished Loads Development Lead to serve as the technical authority for structural, mechanical, thermal, and coupled loads across a next-generation Space Based Interceptors defense program. This is a generational opportunity to architect the structural design basis for one of the most demanding mission sets in aerospace engineering and Space Based Interceptors defense.

In this role, you will have end-to-end ownership of loads development across the full system lifecycle, from ground handling and launch through on-orbit operations, intercept maneuvers, and end-of-life scenarios. You will establish and enforce program standards and processes for loads generation, combination, margins, and documentation; develop and validate Coupled Loads Analyses (CLA); derive Mass Acceleration Curves (MAC); and decompose system-level loads into clear design criteria and verification requirements.

The Loads Development Lead is the single point of accountability for loads methodology, assumptions, traceability, and technical rigor. You will define governing load cases, ensure consistency across subsystem analyses, adjudicate discrepancies, and act as steward of one of the program’s most critical technical artifacts: the Loads Data Book. Your work ensures that load environments are physically realistic, analytically defensible, and properly integrated into design, analysis, verification, certification, and safety margins across the program.

This role requires close collaboration with structures, dynamics, thermal, mechanisms, avionics, systems engineering, GNC, propulsion, trajectory, environments, and test teams to ensure system integrity and performance. You will lead design trade studies driven by load sensitivities, support risk reduction and anomaly resolution efforts, and represent the program in internal and external technical reviews.

As a senior technical leader, you will mentor analysts, shape best practices, and protect the intellectual rigor of the program’s structural design basis. You will play a central role in ensuring the success, credibility, and long-term robustness of True Anomaly’s Space Based Interceptors defense architecture.

QUALIFICATIONS 

Required Qualifications & Experience 

• 8+ years full lifecycle experience in structural loads development for aerospace systems (spacecraft, Space Based Interceptors, interceptors, or launch vehicles)
• Expertise in CLA, load derivation, and structural verification. 
• Demonstrated experience generating and managing loads across multiple mission phases and operational environments. 
• Strong background in structural dynamics, coupled loads analysis, and systems-level load integration. 
• Experience authoring, owning, and maintaining formal loads documentation such as Loads Data Books or equivalent governing artifacts. 
• Proficiency with industry-standard analysis tools (e.g., Femap, NASTRAN, MATLAB, Python, or equivalent).  
• Proven leadership in design, analysis, and verification on a major aerospace program.
• Ability to lead cross-functional technical teams and coordinate across hardware and software boundaries.
• Bachelors Degree in Mechanical or Aerospace Engineering or related field. Master’s or Ph.D. preferred
• U.S. Citizen and eligible for DoD Secret

Desired Qualifications & Experience 

• Master’s or Ph.D. in Aerospace Engineering, Structural Engineering, or a related discipline. 
• Experience with Space Based Interceptors defense systems, interceptors, or highly dynamic flight regimes. 
• Familiarity with DoD or Space Force programs, certification processes, and review cycles. 
• Experience working with classified programs and handling controlled technical data. 
• Background in probabilistic loads, uncertainty quantification, or margin optimization. 
• Prior experience leading technical teams or serving as a subsystem or discipline lead. 
• TS/SCI clearance

COMPENSATION  

• Base Salary: $150,000-$255,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave  

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.  #LI-Hybrid

YOUR MISSION

RESPONSIBILITIES 

True Anomaly is seeking a highly accomplished Structural Integrity Lead to lead the technical execution of a next-generation missile defense program. This is a generational opportunity to architect a solution to some of the most challenging mission sets in missile defense, not to mention aerospace engineering as a whole.  You will establish and enforce processes and standards ensuring structural integrity across the SBI program. You will develop and validate structural models and manage structural margins across configuration while defining and maintain fracture control, fatigue, creep, and damage tolerance methodologies. Finally you will establish the processes by which verification and test activities related to structural integrity are performed. 

QUALIFICATIONS 

Required Qualifications & Experience 

• 10+ years experience developing and managing Fracture Control Plans and performing structural analysis using FEM methods

• Proven leadership in design, analysis, and verification on a major aerospace program

• Ability to scale analytical rigor to match program maturity and risk 

• Ability to lead cross-functional technical teams and coordinate across hardware and software boundaries 

• Expertise with NASTRAN, ABAQUS, NASGRO or comparable analysis tools

• Bachelors Degree in Mechanical or Aerospace Engineering or related field. Master’s or Ph.D. preferred
• U.S. Citizen and eligible for DoD Secret

Desired Qualifications & Experience 

• Advanced degree in Aerospace, Mechanical, or Systems Engineering 

• Experience with missile defense or space vehicle programs

• Strong track record leading cross-functional engineering teams and managing design-to-delivery cycles

• Background in systems engineering or technical program management
• TS/SCI clearance

COMPENSATION  

• Base Salary:  $150,000-$255,000
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid 

YOUR MISSION 

RESPONSIBILITIES 

True Anomaly is seeking a highly accomplished Chief Engineer, Host Vehicle to lead the technical execution of a next-generation missile defense program. This is a generational opportunity to architect a solution to some of the most challenging mission sets in missile defense, not to mention aerospace engineering as a whole. You will serve as the top technical authority for the host vehicle, accountable for engineering performance, risk management, and system integration. You will lead multi-disciplinary teams through design, development, analysis, test, and fielding phases while ensuring the vehicle architecture, requirements, and design decisions align with system-level objectives and mission success criteria. You must impedance match rigor and analysis depth to the maturity and risk posture of the program. Finally you will drive design and technical readiness reviews, technical baseline management, and design assurance. 

QUALIFICATIONS 

Required Qualifications & Experience 

• 10+ years of of proven experience delivering a major aerospace subsystem or vehicle from concept through delivery/fielding 

• Demonstrated ability to balance technical rigor with schedule and program realities 
• Strong systems engineering and technical leadership background across mechanical, electrical, and software domains 
• Strong background in systems engineering practices: requirements, verification, trade studies, interface control, and failure analysis

• Ability to lead cross-functional technical teams and coordinate across hardware and software boundaries

• Bachelors Degree in Mechanical or Aerospace Engineering, Robotics, or related field. Master’s or Ph.D. preferred
• U.S. Citizen and eligible for DoD Secret

Desired Qualifications & Experience 

• Advanced degree in Aerospace, Mechanical, or Systems Engineering

• Experience with missile defense or space vehicle programs

• Strong track record leading cross-functional engineering teams and managing design-to-delivery cycles
• TS/SCI clearance

COMPENSATION  

• Base Salary:  $210,000-$355,000

• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Hybrid

YOUR MISSION

RESPONSIBILITIES 

True Anomaly is seeking a highly accomplished Deputy Chief Engineer to lead the technical execution of a next-generation missile defense program. This is a generational opportunity to architect a solution to some of the most challenging mission sets in missile defense, not to mention aerospace engineering as a whole. The Deputy Chief is responsible for ensuring the technical integrity, accuracy, and repeatability of analysis across the program. 

Responsibilities include: 

Program Technical Leadership 

• Support the Chief Engineer in maintaining overall technical integrity of the missile defense program

• Serve as acting Chief Engineer when delegated, leading technical reviews and milestone readiness assessments

• Translate top-level technical direction and risk posture into actionable guidance for subsystem teams

• Lead integrated design reviews, risk boards, and engineering change control processes

Systems Integration and Verification 

• Ensure interfaces between major subsystems (host vehicle, interceptor, kill vehicle, ground systems) are technically sound and compatible

• Drive technical integration across disciplines, avionics, structures, thermal, propulsion, and GNC, to maintain system coherence 

• Oversee verification planning, ensuring requirements are traceable, testable, and verified across the full lifecycle

• Ensure analytical and test rigor is scaled appropriately to design maturity and risk tolerance

Engineering Discipline Coordination 

• Mentor discipline leads, ensuring consistency in standards, modeling assumptions, and data management

• Promote cross-functional problem solving, ensuring issues are rapidly elevated and technically resolved

• Enforce engineering rigor, documentation, and configuration control across the design and analysis functions

• Oversee the engineering review process (ERB, CCB) and ensure technical disposition of non-conformances

Strategic and Programmatic Alignment 

• Support the Chief Engineer and Program Manager in balancing technical, schedule, and cost trade-offs

• Coordinate with Systems Engineering and SEIT to ensure cohesive technical baseline and verification closure

• Contribute to technology maturation and risk reduction planning for future phases of the SBI program

• Represent engineering during customer technical interchange meetings, design reviews, and audits

QUALIFICATIONS 

Required Qualifications & Experience 

• 8+ years of experience in aerospace systems engineering, design, and technical leadership

• Proven record of leading multidisciplinary teams through full lifecycle development (concept through fielding)

• Deep understanding of configuration management, requirements traceability, and verification processes

• Strong background in one or more core domains (systems, structures, propulsion, GNC, avionics)

• Excellent communication, decision-making, and leadership skills
• U.S. Citizen and eligible for DoD Secret

Desired Qualifications & Experience 

• Prior experience as Chief Engineer, Deputy Chief Engineer, or IPT Lead on a missile defense, launch, or space vehicle program

• Experience interfacing with government technical authorities and independent review boards

• Demonstrated success in scaling technical processes for rapid prototyping through operational deployment
• Advanced degree in Aerospace, Mechanical, or Systems Engineering
• TS/SCI clearance

COMPENSATION  

• Base Salary: $185,000-$310,000 
• Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS

• Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
• Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
• Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below.  #LI-Onsite

As a Hunter Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Work directly with prospective, greenfield, customers on their 0 to 1 journey with Databricks 
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems at scale 
• Comfortable programming in, and debugging, Python and SQL
• Experience using agentic coding harnesses and demonstrable experience scaling your work leveraging them 
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Location: Denver, Colorado Remote Status: Fully Remote (#LI-Remote)

LivePerson (NASDAQ: LPSN) is a leader in trusted enterprise conversational AI and digital transformation. The world's leading brands use our award-winning Conversational Cloud platform to connect with millions of consumers. We power nearly a billion conversational interactions every month, providing uniquely rich data analytics and safety tools to unlock the power of conversational AI for better business outcomes. Fast Company named LivePerson the #1 Most Innovative AI Company in the world.

Position Overview

Our goal is to deliver the next-generation of Conversational AI (CAI) by leveraging and creating the latest in Generative AI technology. We are looking for a Principal Engineer, AI Architect to design and implement the latest Generative AI based solution, reporting directly to the Head of Architecture. This role includes working with the innovation team and other senior engineers. As an architect, the engineer will be instrumental in shaping the AI vision of LivePerson. 

You Will: Key Responsibilities & Impact

• Architect and build next-generation Conversational AI products that push the boundaries of what's possible
• Lead and mentor engineering teams, setting technical direction and best practices
• Partner with Product to shape requirements and translate vision into scalable solutions
• Design cloud-native architectures that are resilient, scalable, and built for the future
• Integrate cutting-edge AI tools and services, championing their adoption across the team
• Drive engineering excellence through comprehensive test automation and quality-first delivery

You Have: Required Skills & Qualifications

• 10+ years building full-stack applications with Java and Node.js (Python and Vue.js are a plus)
• Bachelor's or Master's degree in Computer Science, Communications, or related field
• 5+ years designing and architecting enterprise-grade SaaS Products
• 5+ years shipping AI products to production
• Deep experience with cloud platforms (GCP experience is a plus)
• Background in data analytics and reporting tools, especially for contact centers and conversational analytics (nice to have)
• Proven track record leading engineering team as technical expert

The salary range for this role will be between $190,000 - $210,000 USD. Final compensation will be determined by a variety of factors, including, but not limited to your location, skills, experience, education, and/or professional certifications.

Our Benefits & Perks

We are committed to supporting the complete well-being, health, financial security, family, and professional growth of our permanent employees.

🏥 Health & Wellbeing

• Medical, Dental, and Vision Insurance: Comprehensive plans to support your health needs.

Wellness Resources: Access to wellbeing resources and programs including our EAP plan.Health & Mental Support: Access a confidential and free Employee Assistance Program (EAP), providing professional counseling.

💰 Financial Security & Growth

• 401(k) Retirement Plan: To help you plan for your financial future by offering both the plan and a 4% employer match (100% match on the first 3% contribution and 50% match on the next 2% contribution)

HSA & FSA Plans:  To help you plan for health related expenses on a pre-tax basis

• Employee Stock Purchase Program (ESPP): Participate and receive a discount on company shares, allowing you to directly share in LivePerson's success and growth.
• Additional Insurances: Basic and supplemental  life insurance,  Accidental Death & Dismemberment (AD&D) insurance, long-term and short-term disability insurance coverage, legal plan, identity theft protection plan, and critical illness supplemental insurance.
• Development: Access to internal professional development resources.

👨‍👩‍👧‍👦 Time Away & Family Support

• Flexible Paid Time Off (PTO): Discretionary PTO package for flexible days off with manager approval.
• Paid Public Holidays.
• Generous Parental Leave Policy: Including maternity/paternity support and fertility services.

💻 Workplace Flexibility

• Remote-First Model: This role is fully remote (#LI-Remote), offering excellent work-life balance and flexibility. We also maintain dedicated WeWork space for those who wish to meet colleagues or collaborate in person.

Why You’ll Love Working Here

As leaders in enterprise customer conversations, we celebrate diversity, empowering our team to forge impactful conversations globally. LivePerson is a place where uniqueness is embraced, growth is constant, and everyone is empowered to create their own success. We're very proud to have earned recognition from Fast Company, Newsweek, and BuiltIn for being a top innovative, beloved, and remote-friendly workplace, and recognized by Gartner as a leader in the Conversational AI space.

Belonging at LivePerson: Equal Opportunity Employer

We are committed to fostering an inclusive workplace and are proud to be an Equal Opportunity Employer (EOE). We believe that diverse perspectives drive innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristics protected by US Federal, State, or Local law.

Accessibility Commitment

LivePerson is dedicated to the accessibility needs of our applicants and employees. We provide reasonable accommodations to job applicants with disabilities. Applicants who require a reasonable accommodation for any part of the application or hiring process should inform their recruiting contact upon initial connection.

Important Candidate Notice

The talent acquisition team at LivePerson has recently been notified of a phishing scam targeting candidates applying for our open roles. Scammers have been posing as hiring managers and recruiters in an effort to access candidates' personal and financial information. The phishing scam is not isolated to only LivePerson and has been documented in news articles and media outlets.

Please note that any communication from our hiring teams at LivePerson regarding a job opportunity will only be made by a LivePerson employee with an @liveperson.com email address. LivePerson does not ask for personal or financial information as part of our interview process, including but not limited to your social security number, online account passwords, credit card numbers, passport information, and other related banking information. If you have any questions and or concerns, please feel free to contact recruiting-lp@liveperson.com

Who we are:

Raft (https://TeamRaft.com) is a customer-obsessed non-traditional defense tech company dedicated to empowering U.S. military and government agencies with cutting-edge AI/ML and data solutions. We are a leader in autonomous data fusion and Agentic AI, with a purposeful focus on Distributed Data Systems, Platforms at Scale, and Complex Application Development. With headquarters in McLean, VA, our range of clients includes innovative federal and public agencies leveraging design thinking, cutting-edge tech stack, and cloud-native ecosystem. We build digital solutions that impact the lives of millions of Americans.

About the role:

As a Principal Software Developer, you will serve as a senior technical authority responsible for defining, guiding, and validating software solutions for large-scale, mission-critical systems. You will lead technical planning, architecture decisions, and system integration efforts across programs while influencing engineering best practices and long-term technical direction.This role demands deep technical expertise, strategic thinking, and the ability to lead teams

This role requires deep hands-on expertise and the ability to collaborate closely with systems engineers, testers, and stakeholders to deliver high-quality software in structured or regulated environments.

Key Responsibilities: 

• Lead technical planning and execution for complex software systems and subsystems
• Define and validate high-level and detailed software requirements across programs
• Architect and guide software solutions aligned with mission, operational, and enterprise needs
• Oversee and direct test planning and execution, including:
  • Use case development
  • Test strategy, procedures, and test data
  • System-level validation and verification
• Lead software systems integration across platforms and environments
• Provide senior-level technical oversight across the full software lifecycle, including:
  • Concept design
  • Development and integration
  • Installation and deployment
  • Operations, sustainment, and modernization
  • Retirement and disposal
• Conduct and guide technical trade studies and architectural decision analysis
• Resolve the most complex software integration and performance challenges
• Mentor senior and mid-level developers and guide technical teams
• Ensure software solutions balance performance, security, schedule, and cost constraints
• Serve as a trusted technical advisor to program leadership and stakeholders

What we are looking for: 

• Bachelor’s degree with 18+ years of related experience, or
  Master’s degree with 16+ years, or PhD with 15+ years
• Expert-level experience in software architecture, development, systems integration and AWS tools
• Proven ability to lead complex technical efforts and guide engineering teams
• Extensive experience in requirements definition, system design, and validation
• Strong background supporting large-scale or mission-critical software systems
• Ability to influence technical direction across programs or organizations

Highly preferred: 

• Technical leadership experience on DoD, federal, or classified programs
• Deep familiarity with systems engineering methodologies and lifecycle processes
• Experience defining engineering standards, best practices, or reference architectures
• Formal mentorship or team leadership responsibilities
• Experience supporting highly regulated or high-assurance environments

Clearance Requirements:

• Active Top Secret with ability to obtain and maintain SCI 

Work Type:

• Onsite in Colorado Springs, CO
• May require up to 15% travel

Salary Range:

• $165,000 - $210,000
• The determination of compensation is predicated upon a candidate's comprehensive experience, demonstrated skill, and proven abilities

What we will offer you:

• Highly competitive salary
• Fully covered healthcare, dental, and vision coverage
• 401(k) and company match
• Take as you need PTO + 11 paid holidays
• Education & training benefits
• Generous Referral Bonuses
• And More!

Our Vision Statement: 

We bridge the gap between humans and data through radical transparency and our obsession with the mission. 

Our Customer Obsession: 

We will approach every deliverable like it's a product. We will adopt a customer-obsessed mentality. As we grow, and our footprint becomes larger, teams and employees will treat each other not only as teammates but customers. We must live the customer-obsessed mindset, always. This will help us scale and it will translate to the interactions that our Rafters have with their clients and other product teams that they integrate with. Our culture will enable our success and set us apart from other companies.

How do we get there? 

Public-sector modernization is critical for us to live in a better world. We, at Raft, want to innovate and solve complex problems. And, if we are successful, our generation and the ones that follow us will live in a delightful, efficient, and accessible world where out-of-box thinking, and collaboration is a norm. 

Raft’s core philosophy is Ubuntu: I Am, Because We are. We support our “nadi” by elevating the other Rafters. We work as a hyper collaborative team where each team member brings a unique perspective, adding value that did not exist before. People make Raft special. We celebrate each other and our cognitive and cultural diversity. We are devoted to our practice of innovation and collaboration. 

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with customer stakeholders, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide one of our largest AI native customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

• You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
• Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
• Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
• Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

• 7+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
• Experience building distributed data systems
• Comfortable programming in, and debugging, Python and SQL
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Expertise in one of the following:
  • Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
  • Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
• Available to travel to customers in your region
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply.  We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform into one of our largest AI native customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your account and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. 

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritized customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from ‘win’ to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

What we look for:

• 7+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala 
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops,  creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

DevOps Engineer

The DevOps Engineer is responsible for the design, development, and lifecycle management of automation and integration solutions across Alarm.com’s cloud infrastructure and application platforms. This individual will lead the implementation and operation of continuous integration, automated deployment, and infrastructure-as-code solutions that support the delivery of Alarm.com’s life safety and home automation applications.

This role works closely with Software Engineering, Quality Engineering, Cloud Operations, Security, and Release Management teams to onboard and support applications throughout the full software development lifecycle. The position combines hands-on engineering with operational responsibility to ensure the availability, performance, scalability, and reliability of Alarm.com’s cloud platforms and applications.

Responsibilities

The Engineer's primary job responsibilities include:

• Design and develop tools and frameworks that enable continuous integration and automated infrastructure management across all layers of the cloud stack, including servers, storage, networking, operating systems, management infrastructure, applications, monitoring, and alerting.
• Implement and maintain infrastructure-as-code solutions using technologies such as Ansible, AWX, Puppet, and Terraform to support scalable and repeatable infrastructure deployments.
• Provide technical guidance to engineering teams on best practices for deploying and operating software within the Alarm.com cloud environment.
• Develop a deep understanding of the architecture and operational characteristics of the Alarm.com cloud platform and implement solutions that improve system reliability, performance, and predictability.
• Evaluate, architect, and implement infrastructure solutions and migrate on-premises workloads to hyperscaler environments including AWS and Azure.
• Troubleshoot infrastructure and application issues across development, staging, and production environments.
• Participate in on-call rotations and incident response to maintain the stability and performance of production services.
• Collaborate with Cloud Engineering, Software Engineering, and Quality Engineering teams to improve operational efficiency and system observability.
• Develop and maintain operational runbooks, monitoring standards, and alert metrics to support platform health and stability.
• Support application deployments and improvements across the full software development lifecycle.
• Enable automation and operational improvements using scripting languages and modern DevOps tooling.
• Other duties as assigned.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related technical field preferred.
• Minimum 3 years of DevOps or cloud infrastructure engineering experience.
• Hands-on experience with cloud and virtualization technologies including VMware, AWS, and Azure.
• Experience with configuration management and infrastructure-as-code tools such as Ansible, AWX, Puppet, and Terraform.
• Working knowledge of Linux and Windows operating systems in enterprise environments.
• Experience with containerization and orchestration technologies including Docker, Kubernetes (K8s), Azure Kubernetes Service (AKS), and Rancher.
• Familiarity with server monitoring and application performance monitoring solutions such as PagerDuty, Grafana, OpenTelemetry, New Relic, Dynatrace, and AppDynamics.
• Experience with CI/CD pipelines and DevOps tooling including GitHub Actions, Octopus Deploy, Atlassian tools, Git, and ArgoCD.
• Familiarity with secrets and artifact management technologies including Vault and Artifactory.
• Experience with scripting or programming languages such as Bash, Python, Go, C#, and PowerShell.
• Experience supporting operational processes including multi-tiered escalation and on-call procedures.
• Ability to work both independently and collaboratively within a team environment.
• Strong problem-solving skills and a self-directed approach to investigating and resolving technical issues.
• Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

Preferred Qualifications

• Experience supporting highly available SaaS environments with 99.999% uptime requirements.
• Experience operating large-scale cloud infrastructure supporting distributed applications.

Please note that sponsorship of new applicants for employment authorization, or any other immigration-related support, is not available for this position at this time.

WHY WORK FOR ALARM.COM?

• Collaborate with outstanding people: We hire only the best. Our standards are high and our employees enjoy working alongside other high achievers.
• Make an immediate impact: New employees can expect to be given real responsibility for bringing new technologies to the marketplace. You are empowered to perform as soon as you join the Alarm.com team!
• Gain well rounded experience: Alarm.com offers a diverse and dynamic environment where you will get the chance to work directly with executives and develop expertise across multiple areas of the business.
• Community and Camaraderie: One of our core values is to 'Keep It Fun,' which to us means fostering a strong sense of community. Our culture is built on collaboration and connection, where we celebrate our successes and believe that a positive, engaging environment is key to doing our best work.
• Alarm.com values working together and collaborating in person. Our employees work from the office 4 days a week.

COMPANY INFO

Alarm.com is the leading platform for intelligently connected properties. Millions of homeowners and businesses rely on Alarm.com's technology to secure, monitor, and manage their environments from anywhere. Our comprehensive suite of solutions—including security, video surveillance, access control, active shooter detection, intelligent automation, energy management, and wellness—is delivered exclusively through a trusted network of thousands of professional service providers and commercial integrators across North America and worldwide. Alarm.com's common stock is traded on Nasdaq under the ticker symbol ALRM. Alarm.com delivers serious security for serious people.

For more information, please visit www.alarm.com.

COMPANY BENEFITS

Our total rewards package is designed to support you holistically—in your health, your finances, and your life outside of work. The package includes medical plans with company subsidies, a Health Savings Account (HSA) with a company contribution, and a 401(k) with an employer match. We encourage a healthy work-life balance with paid vacation that increases with tenure, paid holidays, wellness time, and paid maternity and bonding leave. To complete the package, we also provide company-paid disability and life insurance, all within a collaborative and casual work environment.

Alarm.com is an Equal Opportunity Employer

In connection with your application, we collect information that identifies, reasonably relates to or describes you ("Personal Information"). The categories of Personal Information that we may collect include your name, government-issued identification number(s), email address, mailing address, other contact information, emergency contact information, employment history, educational history, criminal record, and demographic information. We collect and use those categories of Personal Information about you for human resources and other business management purposes, including identifying and evaluating you as a candidate for potential or future employment or future positions, recordkeeping in relation to recruiting and hiring, conducting criminal background checks as permitted by law, conducting analytics, and ensuring compliance with applicable legal requirements and Company policies. By submitting your application, you acknowledge that we may retain some of the personal data that you provide in your application for our internal operations such as managing our recruitment system and ensuring that we comply with labor laws and regulations even after we have made our employment decision.

Notice To Third Party Agencies:
Alarm.com understands the value of professional recruiting services. However, we are not accepting resumes from recruiters or employment agencies for this position. In the event we receive a resume or candidate referral for this position from a third-party recruiter or agency without a previously signed agreement, we reserve the right to pursue and hire those candidate(s) without any financial obligation to you. If you are interested in working with Alarm.com, please email your company information and standard agreement to RecruitingPartnerships@Alarm.com.

FEQ427R139

Mission

Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.

The impact you will have:

• Partner with the sales team to help customers understand how Databricks can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt Databricks
• Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
• Build and present references architectures, how-tos, and demo applications for customers
• Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
• Travel to customers in your region

What we look for:

• 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
• Experience designing and architecting distributed data systems
• Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
• Experience supporting Public Sector clients
• Have built solutions with public cloud providers such as AWS, Azure, or GCP
• Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
• Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
• [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
• US Citizen

Iterable is the leading AI-powered customer engagement platform that helps leading brands like Redfin, SeatGeek, Priceline, Calm, and Box create dynamic, individualized experiences at scale. Our platform empowers organizations to activate customer data, design seamless cross-channel interactions, and optimize engagement—all with enterprise-grade security and compliance. Today, nearly 1,200 brands across 50+ countries rely on Iterable to drive growth, deepen customer relationships, and deliver joyful customer experiences.

Our success is powered by extraordinary people who bring our core values—Trust, Growth Mindset, Balance, and Humility—to life. We foster a culture of innovation, collaboration, and inclusion, where ideas are valued, and individuals are empowered to do their best work. That’s why we’ve been recognized as one of Inc’s Best Workplaces and Fastest Growing Companies, and were recognized on Forbes’ list of America’s Best Startup Employers in 2022. Notably, Iterable has also been listed on Wealthfront’s Career Launching Companies List and has ranked in the top 10 of the Top 25 Companies Where Women Want to Work.

With a global presence—including offices in San Francisco, New York, Denver, London, and Lisbon, plus remote employees worldwide—we are committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and encourage you to apply. Learn more about our story and mission on our Culture and About Us pages. Let’s shape the future of customer engagement together!

How you will make a difference: Iterable’s RevOps team is looking for a Salesforce Developer to provide operational support to help grow our business worldwide. The core focus of the role is scaling and maintaining our GTM systems. You will help with admin tools and support end users using Salesforce, Outreach, Gong, CPQ, Gearset, LeanData, and Chili Piper. You will report to the Senior Manager, Business Systems. This is an opportunity to get broad exposure to our GTM tech stack and scale our systems and processes.

One of our core values is a growth mindset, and Iterable is a company where everyone can grow. If this role excites you, please apply, as we value applicants for the skills they bring beyond the job description.

You’ll get to:

• Manage integrated applications and third-party suppliers, including: Salesforce, Leandata, Outreach, Gong, Chili Piper, and other Sales, Marketing, Solutions, Partnership, BI and Customer Success technologies
• Work on requirements and Salesforce elements, and document technical specifications and the associated test cases
• Suggest and architect administrative solutions that reduce overall maintenance and support of assigned applications, and ensure solutions are scalable and in line with best practices
• Support our existing GTM tools and drive increased adoption across the team
• Manage reports and dashboards structure, both ad-hoc and for strategic initiatives
• Excellent understanding of Quote-to-Cash and Revenue Lifecycle Management processes, including CPQ, product catalog, order management, billing, contracts, and revenue recognition.
• Serve as subject matter expert in Quote-to-Cash products, staying current with new releases, roadmap plans, and best practices.
• Own, create, and maintain both internal and external documentation
• Support end-users of the Salesforce platform and integrated tools
• Collaborate with cross-functional stakeholders across the business and tool owners to provide support and updates to systems and processes
• Monitor system health and performance, proactively identifying and improving system processes
• Maintain and improve data cleanliness
• Build and maintain the architecture of our GTM technologies, including managing the efficiency, usage, and consolidation of those technologies

We are looking for people who have:

• Experience using the following in Salesforce: APEX, LWC, flow, validation rules, page layouts, record types, and bulk data load utilities (e.g., Data Loader)
• Hands-on programming/custom coding experience with Salesforce platform, requiring LWC and Apex.
• Deep understanding of Salesforce security, including how OWDs, sharing rules, profiles, roles, and permission sets impact visibility and editing
• Understanding of how to manage, troubleshoot, and integrate tools into Salesforce
• Strong project management skills and ability to communicate cross-functionally
• Interest in and ability to learn how to administer new tools

Bonus points:

• Experience administering Salesforce for an instance supporting 500+ users
• Knowledge of administering Outreach or Chili Piper.
• Salesforce Certified Administrator
• Salesforce Senior Certified Administrator
• Platform Developer I
• Trailhead Profile
• Hands-on Experience with Apex
• Experience providing support to an SFDC instance in a hyper-growth SaaS company

The US salary range for this position at the start of employment is an annual base salary of $114,500 - $179,000. The total compensation package also includes equity, plus a range of benefits, including medical, dental, vision, and financial. In addition, we offer perks such as generous stipends for health & fitness and learning & development, among others.

Iterable is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Iterable does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Iterable also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance and other similar state laws and local ordinances, and its internal policy, Iterable will also consider for employment qualified applicants with arrest and conviction records.

#LI-DP1

The opportunity
The Senior Compensation Program Manager is a lead-level strategist responsible for the integrity, evolution, and application of Unity’s global market positioning. This role is a dual-focus position: acting as an Internal Insights Expert to synthesize global compensation trends into actionable strategy, and serving as the Technical Architect driving the execution phase of our global Job Architecture redesign.

We are looking for a robust compensation expert who can navigate a fast-paced environment, provide hands-on leadership on new and midstream projects, and build AI-leveraged tools necessary to scale our infrastructure. You will be a key partner to Recruiting and a trusted advisor to Compensation leadership, ensuring Unity’s pay structures are data-driven, competitive, and built to scale.

What you'll be doing

• Trend Synthesis & Strategic Benchmarking: Lead global compensation research and benchmarking strategies, translating market shifts into actionable insights and proactive recommendations that maintain Unity’s competitive edge.
• Global Salary Infrastructure: Own the end-to-end design, implementation, and audit of global salary structures, utilizing sophisticated modeling to ensure ranges are fiscally sustainable and aligned with our philosophy.
• Job Architecture Execution: Drive the global launch of the Job Architecture redesign, managing the high-velocity mapping and calibration of roles while partnering with People Tech for seamless system integration.
• Process Innovation & AI Leverage: Build scalable compensation toolkits and automated models, actively integrating AI tools to increase team velocity and enhance the accuracy of complex analytics.
• Strategic Advisory & Recruiting Partnership: Serve as a key consultant to Recruiting and Leadership, providing expert guidance and structural guardrails to resolve ambiguous pay situations and facilitate complex offers.

What we're looking for

• A proven track record of leading compensation infrastructure, salary structures, and market strategy at scale within the technology sector.
• Ability to drop into fast-moving, new-and-mid-stream projects and deliver immediate value with minimal ramp-up time.
• Proficiency in building complex, automated models from scratch in Google Sheets or similar apps.
• Previous experience or a robust interest in integrating AI tools into the compensation workflow to drive efficiency.
• Experience acting as the escalation point for complex cases where data is thin; providing "right for the right reasons" guidance.

Additional information

• Relocation support is not available for this position
• Work visa/immigration sponsorship is not available for this position

Benefits
At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance.

Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status.

While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program

Life at Unity
Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com.

Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know.

This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.

Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity.

Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com.

#SEN #LI-CW2

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

As an Appian Architect, you will be a key technical leader within Appian’s Customer Success team as well as a trusted technical advisor to Appian’s clients. Architects are responsible for helping design and scale Appian’s technical solutions and enabling Appian’s expert delivery teams. In this role, you will not only become an expert at designing applications on our platform, but also become business process experts in the various industries and technologies of our varied customer base. This involves integrating with and incorporating new technology trends from a variety of disciplines, as well as working with clients on all aspects of their program to drive technical success and efficiency, including security, scalability, Cloud technologies, version control, configuration management and other DevOps practices. 

The ideal candidate will combine a passion for learning new technology with excellent technical, product and business skills to make our customers and partners successful. All of these activities are performed in partnership with Appian Product Management and Engineering, Appian Partners, and other members of the Customer Success team, including Customer Success Managers (CSMs). 

To be successful in this role, you need:

• To be passionate about technology, excited by tough challenges, and be a natural problem solver.
• Experience with configuration, deployment, and testing of enterprise software applications, ideally with Agile delivery methodologies.
• The ability to design and review complex, secure and scalable solutions with enterprise software and remove technical impediments.
• Composure in client-facing situations and have had previous success presenting complex technical concepts & designs to a variety of audiences. 
• Experience working alongside enabling delivery teams to meet their engagement goals by sharing your knowledge, expertise, advice, and mentorship.
• To ideally have experience with software consulting (such as in an ERP, CRM, BPM/Workflow, Data Integration Architecture or EAI) and/or applied knowledge of enterprise architecture, including data management 
• To ideally have Commercial or Industry-experience in one or more of the following areas: Financial Services, Pharmaceuticals, Insurance, Manufacturing 

Basic qualifications:

• You have at least 5 years of hands-on technical experience in an enterprise software implementation environment.
• B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree.
• Willingness to travel up to 20%.

The base salary for this role is between $153,000-$207,000 per year and represents a good faith and reasonable estimate of the range at the time of posting. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate’s relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance.

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

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

At Neo4j, our Solution Engineers are pivotal to our company’s success. As a member of our regional go-to-market team, you will partner with our sales executives, working closely with clients to showcase how the Neo4j Graph Intelligence Platform addresses their critical business needs.  Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j technology, and support customers in an advisory capacity throughout their journey to value realization.  SE’s work with organizations across industries such as Financial Services, Telecommunications, Technology and Life Sciences understand the business and technical value of representing data using Neo4j graph database and analytics technology. You will grow as a thought leader in graphs and solve our customers’ high-value problems beyond traditional data solutions.

Required Locations -
Bay Area/Southern California 
We will also consider  - Seattle, Denver & Phoenix 

What Success Looks Like:

• Developing and honing subject matter expertise to effectively discern and understand the true needs of our customers, present technology solutions that target those needs, and all in all, demonstrate thought leadership and the value of Neo4j through platform and use case demonstrations, solution architecting, workshops, and conferences.
• Meeting and exceeding regional revenue goals, as a result of helping Sales to qualify and validate opportunities from a technical perspective and accelerate the sales cycle and adoption of Neo4j.
• Collaborating effectively with Sales, Professional Services, Partners, Product Management, etc to deliver continuous value to customers and ensure a seamless customer experience as they embark on the graph journey.

What You’ll Do:

• Confidently articulate the business and technical value of Neo4j to customers and prospects as a key technical advisor and advocate for our products and services
• Actively drive and run the technology evaluation stage of the sales cycles.
• Work across a number of opportunities in parallel and manage day-to-day activities such as opportunity qualification, technical discovery, presentations, platform and use case demonstrations, proof of value, sizing, and documentation of technical decision criteria.
• Build and nurture rapport with customer stakeholders at all levels and be the trusted advisor to them to help them understand what they can achieve with Neo4j.
• Co-create reference and solution architectures with our customers, including integrating Neo4j with their existing architecture and applications within a public cloud (AWS, Azure, or GCP) or on-premise environment.
• Stay current on latest Neo4j capabilities, including but not limited to usage and integration with third-party tools and services.
• Distill and communicate customer needs and product feedback to Product Management, Engineering, Marketing, and Sales.
• Help drive demand through the participation in account-based marketing events as well as industry-known conferences and trade shows.
• Lead by example and actively foster an environment of teamwork, transparency, creativity, and continuous improvement.
• Travel as needed to assist in deal creation and closure, and provide support to your team as required.

What You’ll Bring:

• 5+ years of customer-facing experience in a similar capacity (Sales/Presales/Solutions Engineer, Solutions Architect, Technical Consultant, etc), ideally in a similar high-growth, scaling environment.
• Experience working with different data technologies in either of the following areas: enterprise data architecture, data analytics, data science or cloud data architecture.
• Familiarity with graph data technology is essential.  Working knowledge of Neo4j is a strong plus!
• Hands-on experience and proficiency with relational (SQL) and/or NoSQL databases, and at least one of the following languages: Python, Java, JavaScript, Go, C#.
• Successful track record in designing, developing, and implementing data solutions in the public cloud (AWS, Azure, or GCP) or on-premise.
• Ability to engage and communicate ideas to both technical and non-technical audiences at all levels through presentations, whiteboarding, and platform demonstrations.
• Technical savviness and business acumen to translate technical concepts and patterns into valuable business outcomes.
• Passion for learning new technologies (especially graphs!), developing new ways of data modeling, and spearheading change management.
• An entrepreneurial mindset, with the ability to prioritize, pivot, and problem-solve.
  
  
  
  O-2025Q4-AMER25

Reporting to the Senior Director, Product Marketing, the Lead Product Marketing Manager (PMM) is a senior individual contributor responsible for driving the commercial strategy for a major product category. Bridging the gap between product innovation and market dominance, you will own the "why" for your portfolio. In this role, you will lead the creation of scalable GTM strategies and mentor junior team members. You will serve as a strategic partner to Product Management and Sales leadership, translating complex market dynamics into high-impact narratives that drive revenue.

You will be responsible for creating the end-to-end GTM strategy, the core messaging framework, and the strategic sales playbooks that enable our Sales and Marketing organizations to win. You will not just be a marketer; you will be a commercial driver, a market expert, and a gifted storyteller.

In this role, you will:

• Design, own, and execute the end-to-end GTM strategy for a high-priority product category, ensuring alignment with long-term company objectives.

• Architect and maintain comprehensive messaging frameworks and positioning hierarchies that serve as the "source code" for global marketing and sales content.

• Lead the creation of strategic sales playbooks and "battle cards" that equip the sales organization to win complex commercial negotiations against top-tier competitors.

• Act as the primary feedback loop between the market and the Product Management team, synthesizing buyer feedback and competitive intelligence to influence the long-term product roadmap.

• Lead cross-functional launch teams, coordinating efforts across Sales, Marketing, and Product to ensure successful market entry for new features and solutions.

• Serve as a mentor to Product Marketing Managers, providing guidance on narrative construction, GTM execution, and commercial acumen.

About you:

• 7-10+ years of related experience in B2B product marketing, solution marketing, or strategy, preferably within enterprise software, PaaS, or automation.

• Bachelor’s degree in Marketing, Business, or a related field. MBA is strongly preferred.

• Proven track record of developing strategy at a portfolio level, rather than just executing tactical launches.

• Exceptional storytelling ability with experience crafting C-suite-ready narratives that simplify complex technology into clear business value.

• A self-starter attitude with an obsession for scalability and a refusal to be a "content factory," preferring to build strategic frameworks that enable the entire organization.

Basic Qualifications:

• Education & Experience: Bachelor's degree in Marketing, Business, or a related field, with 7-10+ years of experience in B2B product marketing, preferably within enterprise software or automation.

• Proven track record of building scalable sales playbooks and messaging frameworks, with a commitment to working in-person 5 days a week at our McLean, VA headquarters.

Preferred Qualifications:

• Strategic Leadership: MBA degree with demonstrated experience advising C-level executives and crafting narratives that simplify complex technology into business value.

• External Influence: Proven history of representing a company externally, such as speaking at major industry conferences or managing relationships with top-tier industry analysts.

#LI-MB1

About the job

The Population Health & Wellness Director is a senior-level, client-facing leader responsible for designing, implementing, and optimizing population health, wellness, and preventive care strategies for employer clients. This role partners closely with benefits consultants, carriers, vendors, and client leadership to improve employee health outcomes, enhance engagement, and drive measurable cost containment results.

This position blends strategic consulting, program design, data-driven insights, and vendor management, supporting The MJ Companies Employee Benefits Consulting value proposition as a trusted advisor in employee health and wellbeing.

Key Responsibilities

Population Health Strategy & Program Design

• Develop and lead comprehensive population health and wellbeing strategies aligned with clients’ benefits, workforce demographics, and business objectives
• Design multi-year population health roadmaps addressing preventive care, chronic condition management, mental health, wellbeing, and health equity
• Evaluate and recommend evidence-based wellness, disease management, digital health, and point-solution vendors

Client Consulting & Relationship Management

• Serve as a subject-matter expert for population health and wellness in client strategy meetings, renewals, finalist presentations, and plan design discussions
• Translate health data and population insights into actionable recommendations for HR, Finance, and executive stakeholders
• Partner with benefits consulting teams to integrate population health strategies into total rewards and benefits planning

Data Analytics & Outcomes Measurement

• Analyze population health data including medical and pharmacy claims, biometric results, risk assessments, and engagement metrics
• Define KPIs and success metrics to assess program effectiveness, ROI, and improvements in health outcomes
• Create client-facing dashboards, reports, and executive summaries to communicate results and trends

Vendor & Partner Management

• Manage relationships with wellness, digital health, and population health vendors, including contracting support, performance reviews, and outcomes evaluation
• Stay current on emerging population health trends, regulatory considerations, and best practices in employer-sponsored benefits
• Coordinate vendor implementations and ongoing optimization across diverse client populations

Internal Collaboration & Thought Leadership

• Collaborate with sales, account management, compliance, pharmacy and analytics teams to support prospecting and client retention efforts
• Develop population health content for marketing, thought leadership, and educational presentations
• Mentor, manage, and support the Population Health & Wellness team

Education

• Bachelor’s degree in Public Health, Health Administration, Nursing, Exercise Science, Health Promotion, or a related field required
• Master’s degree (MPH, MBA, MHA, or similar) preferred
• 8+ years of experience in population health, wellness consulting, healthcare analytics, or employee benefits
• Experience working within an employee benefits brokerage, consulting firm, health plan, or wellness vendor environment preferred

Certifications (Preferred)

• Certified Health Education Specialist (CHES)
• Certified Corporate Wellness Specialist (CCWS)
• Registered Nurse (RN) or other clinical credential
• Health & Productivity Management (HPM) certification

Knowledge & Experience

• Deep understanding of employer-sponsored health plans, population health management, and wellness program design
• Strong proficiency in interpreting medical and pharmacy claims data and translating insights into solutions
• Excellent presentation and executive communication skills
• Proven ability to influence without authority and partner with diverse stakeholders
• Project management skills with the ability to manage multiple client initiatives simultaneously

Technical Functions

1. Population Health Data & Analytics- Interpret and analyze medical, pharmacy, and integrated claims data, evaluate trends, identify cost drivers and modifiable risk factors
2. Population Health Program Architecture & Design- Design multi-year population health strategies and architect integrated solutions 
3. Vendor Evaluation, Selection & Performance Management- Conduct vetting of wellness, digital health, and population health vendors, lead vendor RFPs, monitor vendor performance
4. Measurement, ROI & Outcomes Evaluation- Define and measure KPIs and success metrics for population health program
5. Technology & Data Integration- Oversee data integration between claims data sources, wellness platforms, vendors and administration systems, support use of systems and data tools
6. Clinical, Regulatory & Compliance Oversight- Ensure programs align with standards, regulations, and requirements
7. Plan Design & Benefits Alignment- Align population health initiatives with plan design and strategies
8. Client & Consultant Enablement - Equip benefits consultants with technical population health insights

This compensation range is specific to the State of Colorado and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and delivery model. In addition to your salary, The MJ Companies offers benefits such as, a comprehensive benefits package, and 401k contribution (all benefits are subject to eligibility requirements). An estimated base salary range is $120,000-160,000.

The application window will be open until at least April 17, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

This role is not eligible for immigration sponsorship.

At GFiber, our Information Systems and Technology team plays a crucial role in enhancing employee productivity and efficiency across all departments. We are dedicated to delivering quality support while fostering a strong business partnership and ensuring seamless project deliverables. Together,  we focus on delivering innovative solutions that empower our colleagues and drive the organization forward.

Role Description

As a Senior IT Systems Engineer, you will architect and maintain the digital workspace our employees rely on daily. This role oversees the entire lifecycle of corporate applications, from end-to-end deployment and configuration to automated patching and long-term administration. You will manage our Google Workspace environment and support critical office technology, including multi-vendor networking, conferencing, and advanced printing solutions. While possessing deep expertise in software application engineering, you will maintain a robust foundation in full device management to ensure secure and seamless delivery across macOS, Windows, and ChromeOS platforms.

In this role, you'll:

• Manage the enrollment, security posture, and compliance of macOS, Windows, and ChromeOS devices using Microsoft Intune, Google Workspace, and Kandji/Iru to provide a stable platform for application delivery.
• Architect the end-to-end deployment, configuration, and proactive patching strategies for the corporate productivity suite. This includes leading the rollout of new enterprise solutions from initial environment setup through to ongoing maintenance and optimization.
• Deploy and provide advanced support for office technology, including LAN/Wi-Fi networking, Google Meet conferencing/AV systems, and enterprise printing hardware and software.
• Perform administration, strategy, and security hardening for Google Workspace, including advanced mobile device management for Android/iOS and Google Meet integrations.
• Utilize advanced scripting (Python, PowerShell, or GAM) to automate software packaging, agent rollouts (e.g., CrowdStrike, CatchPoint), and system-wide compliance remediation.
• Collaborate with cross-functional stakeholders and vendors to understand business needs and implement scalable software and hardware solutions that streamline corporate operations.

At a minimum we'd like you to have:

• Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent practical experience.
• 8 years of experience as a Systems Engineer in an Enterprise Corporate IT environment.
• 5 years of experience managing Google Workspace at an enterprise level, overseeing Application Lifecycle Management (packaging, deployment, patching), and supporting office networking (Wi-Fi, LAN).
• Experience managing macOS/Apple MDM tools (e.g., Kandji/Iru) and Microsoft Intune.
• Experience deploying applications on premise or software as a service (SaaS). 

It's preferred if you have:

• Professional Google Workspace, Apple, or Microsoft Endpoint related certifications.
• Experience configuring Okta or Entra ID for SAML federation, SSO, and automated user provisioning.
• Experience working with Python, PowerShell, and GCP Cloud CLI for advanced systems automation and API-driven integrations.
• Experience delivering complex technical projects within an Agile environment (e.g., Scrum).
• Ability to use written and verbal communication to explain complex architectural fixes and technical concepts to both technical and non-technical audiences.

The US base salary range for this full-time position is between $136,000 - $169,000 + bonus + cash award + benefits. As pay varies by location, your recruiter will share more about the specific salary range for your targeted location during the hiring process.

#LI-DNI

Spire is making a fundamental shift in how it operates its constellation. We are moving from a model where trained operators watch dashboards and escalate to experts, to one where the system is fully autonomous, self-healing, and data intelligent. This team is building that future, and this role sits at the center of it. 

The old model relies on operators, escalations, manual processes, and institutional knowledge locked in the heads of a few experts. It does not scale and it does not belong in a modern space company. We know what we want to replace it with: SRE principles applied to a constellation, autonomous fault handling, AI-driven anomaly detection, low toil, high data quality, and continuous improvement baked into the system. 

You will be one of the engineers who makes that real. 

What You Will Work On  

Autonomous Operations: 

• Design and build fault detection, isolation, and automated recovery pipelines for satellites and ground stations
• Drive elimination of manual processes. If a human is doing it repeatedly, automate it.
• Build space situational awareness systems so the fleet always knows its own state
• Develop operational automation for mission execution at scale

Telemetry and Data Platform: 

• Architect and build a flexible data platform that ingests, stores, and surfaces telemetry from space and ground assets
• Build analytics and visualization tools that surface operational insight and not just raw data
• Apply ML and AI techniques to detect anomalies, predict failures, and optimize constellation performance
• Work directly with data at every layer from pipeline design to query

Reliability Engineering: 

• Define and instrument SLOs and reliability metrics for space and ground assets
• Build monitoring and alerting systems that know what matters and ruthlessly suppress noise
• Own configuration control and software rollout processes for on-orbit and ground assets

Mission Software: 

• Build real-time dashboards and operator tooling that make mission status immediately legible
• Collaborate directly with satellite operators and mission teams to turn operational pain into software solutions
• Design systems for automated mission execution including planning, scheduling, and commanding at scale

Basic Qualifications

• 5+ years of professional software engineering, SRE, or DevOps experience
• Strong Python skills across backend services, data pipelines, and automation. Not just scripts.
• Real experience applying data analysis to solve complex operational or technical problems, comfortable working directly with data at every layer from pipeline design to query
• Solid Linux fundamentals including bash scripting and basic system administration
• Experience with containerized development and production environments
• The communication skills to work across engineering, operations, and mission teams and translate real-world requirements into working software

Preferred Qualifications

• Experience with data backends such as Postgres, Redis, Elasticsearch, or S3
• Hands-on experience with Databricks or modern data Lakehouse tooling
• Experience building or operating monitoring and alerting systems such as Grafana, Prometheus, or Nagios
• Infrastructure as Code experience with tools such as Terraform or Ansible
• ML or AI applications in an operational or monitoring context
• Experience with Python data visualization libraries

Spire operates a hybrid work model, and this position will require you to work a minimum of three business days per week in the office.

Access to US export-controlled software and/or technology may be required for this role. If needed, Spire will arrange the necessary licenses—this is not something candidates need to have before applying. _#LI-MK1