<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a publicly traded company at the forefront of the AI revolution, offering an AI-centric cloud platform that's reshaping the landscape of artificial intelligence. The company provides cutting-edge infrastructure, including large-scale GPU clusters, cloud platforms, tools, and services for developers to service the explosive growth of the global AI industry for Fortune 1000 companies, top-tier innovative startups, and AI researchers.
<ul>
<li>
Company type: Publicly traded
</li>
<li>
Industry: AI/ML, Cloud Computing, Infrastructure-as-Code
</li>
<li>
Candidate Location: Remote U.S.
</li>
</ul>
Their mission is to democratize access to AI infrastructure and empower organizations to create, optimize, and deploy AI solutions at any scale. They aim to simplify the complexities of AI development by providing a full-stack AI platform that combines powerful hardware with user-friendly tools and services.
The Opportunity
We are seeking a Senior AI/ML Specialist Solutions Architect to join our client's team. This role offers the chance to design and implement scalable AI solutions for AI-focused customers, working with state-of-the-art technologies and contributing to one of the most powerful commercially available supercomputers.
What You'll Do
<ul>
<li>
Architect and optimize distributed training and inference systems for large-scale AI models
</li>
<li>
Design and deliver customer-focused solutions that maximize performance and business value
</li>
<li>
Lead the transition of ML pipelines from POC to scalable production systems
</li>
<li>
Build long-term customer relationships, ensuring satisfaction and alignment with strategic goals
</li>
<li>
Create whitepapers, deliver technical presentations, and host webinars to share insights and best practices
</li>
<li>
Provide technical leadership and mentor teams on AI infrastructure and deployment strategies
</li>
<li>
Collaborate with engineering and product teams to prioritize customer feedback and influence product roadmaps
</li>
</ul>
What You Bring
<ul>
<li>
5+ years of experience with cloud technologies and infrastructure, ideally in senior MLOps or Solutions Architect roles
</li>
<li>
Proven expertise in scaling and optimizing AI workloads across multi-node and multi-GPU environments
</li>
<li>
Demonstrated success delivering ML products, scaling from POC to production
</li>
<li>
Deep knowledge of ML frameworks like PyTorch and JAX
</li>
<li>
Strong background in the NVIDIA HPC ecosystem (CUDA, NCCL, Infiniband)
</li>
<li>
Exceptional communication skills to engage both technical teams and business stakeholders
</li>
<li>
Legal authorization to work in the United States on a full-time basis without sponsorship
</li>
</ul>
Preferred Technical Skills
<ul>
<li>
Programming Languages: Python, Go, Java, C++
</li>
<li>
Infrastructure as Code (IaC): Terraform, Ansible
</li>
<li>
Orchestration: Kubernetes (K8s), Slurm
</li>
<li>
DevOps Tools: Git, Docker, Helm
</li>
<li>
Big Data Frameworks: Spark, Kafka, Hadoop
</li>
<li>
Databases: SQL, NoSQL, and vector databases
</li>
<li>
ML Frameworks: PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation: $180,000 - $300,000 per year (negotiable based on experience and location)
</li>
<li>
Full medical benefits: 100% company-paid medical, dental, and vision coverage for employees and families
</li>
<li>
401(k) plan with a 4% match program
</li>
<li>
Stock options plan
</li>
<li>
Flexible remote work environment
</li>
<li>
Company-paid short-term, long-term disability, and life insurance coverage
</li>
<li>
20 weeks paid parental leave for primary caregivers, 12 weeks for secondary caregivers
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Work with state-of-the-art AI and cloud technologies, including the latest NVIDIA GPUs
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
<li>
Contribute to sustainable AI infrastructure, with energy-efficient data centers that recover waste heat to warm nearby residential buildings
</li>
</ul>
Interviewing Process
<ul>
<li>
Level 1 - Interview with Talent Acquisition&nbsp;
</li>
<li>
Level 2 - Interview with the Hiring Manager
</li>
<li>
Level 3 - Technical Assessment
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

Senior AI/ML Specialist Solutions Architect (AI Infra & Cloud)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a profitable Enterprise SaaS company specializing in data privacy governance, data security, consent management, and regulatory compliance solutions for enterprises. Their innovative, patented Hybrid AI technology ensures seamless compliance with GDPR, CCPA, and other privacy regulations, while providing unified consent and preference management APIs for efficient data handling across multiple channels. With a proven product-market fit and Fortune 100 customers, the company is at the forefront of shaping the future of data privacy and AI-driven compliance.
<ul>
<li>
Company HQ: United States
</li>
<li>
Product: AI-powered privacy compliance and data governance platform (SaaS)
</li>
<li>
Candidate Location: Falls Church, VA or Greenville, DE (office 2-3 days per week)
</li>
<li>
Start Date: As soon as possible
</li>
</ul>
The Mission
Our client's mission is to contribute to a better society by advocating for proper data protection legislation, responsibly safeguarding customer data, preserving individual privacy rights, and enhancing trust between businesses and consumers through greater transparency. As a technical lead, you will play a critical role in driving the engineering vision and delivering impactful products that address evolving privacy and security challenges.
The Opportunity
Join a dynamic engineering team as a Lead Software Engineer (Full Stack), where you'll lead technical initiatives, mentor peers, and directly influence the architecture and success of mission-critical privacy and data security products. This is a unique opportunity for an experienced engineer to advance into a Director of Engineering role within 18 months, while working on cutting-edge technology in a collaborative, startup-like environment.
What You'll Do
<ul>
<li>
Write clean, secure, and high-quality code aligned with product requirements
</li>
<li>
Build interactive web applications, RESTful APIs, and efficient algorithms
</li>
<li>
Optimize application performance, security, and browser compatibility
</li>
<li>
Lead feature implementation and redesign complex interfaces
</li>
<li>
Influence technical decisions to ensure quality, scalability, reliability, and security
</li>
<li>
Mentor and guide other engineers, fostering a culture of excellence and growth
</li>
<li>
Act as a client-facing technical leader during implementation phases
</li>
<li>
Collaborate closely with a cross-functional team to deliver on tight deadlines
</li>
</ul>
What You Bring
<ul>
<li>
Bachelor’s degree or higher in Computer Science or a related field (required)
</li>
<li>
Minimum 10 years of experience in software engineering roles
</li>
<li>
Strong experience with LAMP/LEMP stack and Linux command line proficiency
</li>
<li>
Proven ability to build scalable, load-balanced web applications and APIs
</li>
<li>
Client-facing experience and strong communication skills
</li>
<li>
Experience leading and mentoring engineering teams
</li>
<li>
Startup or fast-paced environment experience with the ability to manage multiple priorities
</li>
<li>
Willingness and ability to work from the Falls Church, VA or Greenville, DE office 2-3 days per week
</li>
</ul>
Preferred Technical Skills:
<ul>
<li>
Programming: PHP, JavaScript, Python, Java
</li>
<li>
Frontend: ReactJS, JQuery, Bootstrap
</li>
<li>
Backend &amp; API: RESTful APIs, AJAX, microservices architecture
</li>
<li>
Databases: SQL, NoSQL (Cassandra, MongoDB), Big Data (Hadoop, Hive, HBase)
</li>
<li>
Caching &amp; Messaging: Redis, RabbitMQ
</li>
<li>
Cloud &amp; Containerization: Docker, AWS, IaaS, PaaS, Elastic Search
</li>
<li>
DevOps &amp; Version Control: Git, Bitbucket, third-party testing frameworks
</li>
<li>
Bonus: Security/privacy technologies (encryption, vulnerability assessment)
</li>
<li>
Bonus: Open-source project contributions
</li>
<li>
Bonus: Hands-on experience with AI algorithms
</li>
</ul>
Key Success Drivers
<ul>
<li>
Strong self-discipline and self-motivation
</li>
<li>
High ethical standards, honesty, and transparency
</li>
<li>
Adaptability and comfort wearing multiple hats in a fast-changing environment
</li>
<li>
Ability to work effectively with diverse team members
</li>
<li>
Proactive leadership and a collaborative mindset
</li>
</ul>
Why Join?
<ul>
<li>
Competitive Compensation: $140,000–$180,000 annually (negotiable, based on location and experience)
</li>
<li>
Comprehensive benefits: 100% paid medical, dental, and vision for employees and families (gold plan with zero out-of-pocket)
</li>
<li>
Financial Security: 401(k) plan with company match and company-paid life insurance
</li>
<li>
Hybrid schedule (2-3 days in-office), 2 weeks paid vacation
</li>
<li>
Career Advancement: Clear path to Director of Engineering within 18 months
</li>
<li>
Technical Growth: Work with modern technologies, solving complex, meaningful problems
</li>
<li>
Technical Impact: Significant influence on architecture and engineering practices
</li>
<li>
Professional Development: Tuition reimbursement for continued education and technical training
</li>
<li>
Collaborative Environment: Work alongside other talented engineers in a supportive culture
</li>
<li>
Team Building: Regular company events, celebrations, and team dinners
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Phone interview with the Hiring Manager (technical background and client communication skills)
</li>
<li>
Level 2: On-site interview in the office (skills assessment)
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $140K - $180K

Full Stack Developer (AI & Data Privacy)

<h3>Job Description</h3>
Job Description
Company Overview
Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt. Our innovative approach to payment plans and relief distribution significantly improves enrollment and recovery rates, helping individuals clear debts faster and reducing delinquencies for our partners.
We treat people facing financial difficulties with respect and dignity, providing the tools and resources they need to thrive. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders.
Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup.
Role Overview
As a Senior ML / AI Researcher at Promise, you’ll drive the exploration and development of AI and machine learning models to streamline the way individuals facing financial difficulty receive and interact with essential public services.
Your primary responsibilities will include experimenting with, training, fine-tuning, and prompting AI systems - ranging from traditional ML models to LLMs - to power our internal and external applications. This work will span areas like OCR, document understanding, document classification, and building generalist models. You’ll source from leading AI vendors, open-source models, and fine-tuned solutions, applying them to real-world use cases that impact millions of people.
Your expertise in AI modeling will help improve performance, efficiency, and automation across our platform - directly shaping the future of government services while delivering meaningful social impact.
What Will Enable You
<ul>
<li>
5+ years of relevant statistical analysis experience.
</li>
<li>
5+ years of professional machine learning experience (e.g., modeling, hyperparameter tuning, feature engineering, model validation).
</li>
<li>
1+ years of experience with deep learning and LLMs (hands-on projects, fine-tuning, or applied usage).
</li>
<li>
Formal experience training and evaluating models for classification/regression tasks (ROC AUC, Precision, Recall, F1 score).
</li>
<li>
Exposure to key tools and frameworks such as PyTorch, MLFlow, LightGBM, or related.
</li>
<li>
A rigorous, detail-oriented approach to problem solving.
</li>
<li>
Willingness to learn, change, and grow in a high-impact, dynamic environment.
</li>
<li>
Passionate drive for Promise’s mission and relentless pursuit of customer success.
</li>
<li>
High moral and ethical standards, seeking open and honest communication, and rejecting manipulation, dishonesty, and intolerance. 
</li>
</ul>
Benefits and Work Environment
At Promise, we invest in our team’s well-being, growth, and sense of ownership.
<ul>
<li>
Equity for All: All full-time employees receive stock options to share in our company’s success.
</li>
<li>
100% Paid Health Coverage: We cover 100% of base medical, dental, and vision insurance plans for employees and their dependents.
</li>
<li>
Flexible Hybrid Work: We collaborate in office at least three days a week to stay connected and aligned as a team.
</li>
</ul>
Please note: Benefits are reviewed periodically and may be updated at the sole discretion of Promise.
Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws.
Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.
Compensation Range: $150K - $215K

Senior ML/AI Researcher

<h3>Job Description</h3>
Job DescriptionAbout LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
 At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
The Production Team at LILT:
LILT’s Production Team is a global workforce, operating across four continents. We are passionate about localization and making information accessible to all. The Team spans project management, program management, quality, and talent management, working with some of the world’s largest organizations.
Working in LILT’s Production Team you will have access to leading tools, collaborative teammates, and opportunities to make a real impact.
What You’ll Do:
The Project Manager, Production ensures successful production execution across a portfolio of Life Science accounts. This role is a fundamental component of the production life cycle, ensuring projects are delivered on-time, on budget and to accepted quality standards. The Project Manager, Production will have customer facing production duties as well as internal responsibility to delegate project coordination and administrative work to teams of Production Coordinators.
Key Responsibilities:
<ul>
<li>
Able to complete project management tasks autonomously
</li>
<li>
Responsible for maintaining resources, core teams and pipeline to support project management work
</li>
<li>
Responsiveness to internal and external comms within pre-defined SLAs
</li>
<li>
Risk analysis to identify risks, potential issues, plan to and mitigate them
</li>
<li>
Able to define and delegate admin work to PCs Interns
</li>
<li>
Able to take responsibility for end to end project deliverables in accordance with SLAs
</li>
<li>
Effectively balances and manages priorities across a variety of task types and customers
</li>
<li>
Establishes deadlines /ensures deadlines are feasible and completes tasks by said deadlines
</li>
<li>
Escalates issues or problems to manager in an effective manner, along with proposed solutions
</li>
<li>
Asks pertinent questions to ensure full comprehension of the task in hand; Strictly follows Production SOPs and best practices. Responsible for CM, Quality and OTD KPIs.
</li>
<li>
Manage the end to end project management workflow
</li>
<li>
Ensure all projects are delivered on time as per customer SLA
</li>
<li>
Manage quality at project level - including Review, Verification, QA, LQE
</li>
<li>
Responds quickly and efficiently to internal and external stakeholders
</li>
<li>
Ensure all system admin, including data entry, is accurate
</li>
<li>
Process and approves invoicing and payments
</li>
<li>
Perform file analysis and engages with Solutions team for support on file types
</li>
<li>
Creates and monitors linguistic assets (TM, Style Guides, reference material)
</li>
<li>
Demonstrates a deep understanding of all production workflows and processes related to their accounts
</li>
<li>
Utilize systems and tools released by Production Enablement
</li>
<li>
Train supporting resources on key production processes and methodology
</li>
<li>
Develop and maintain process documentation related to their task load and the tasks delegated to other resources.
</li>
<li>
Consistently follow correct protocols for tasks and accounts.
</li>
<li>
Monitor and enforce adherence to correct production procedures
</li>
<li>
Provides insight to Strategist into revenue forecasts based on production volume
</li>
<li>
Manage quality complaints and feedback received from stakeholders
</li>
<li>
Raise Customer Support tickets for 100% of production blockers (Jira)
</li>
<li>
Identifies resource requirements for production work
</li>
<li>
Performs self-sourcing in our existing vendor database and enters sourcing requests when new vendors are needed
</li>
<li>
Completes ongoing risk assessment and mitigation for all production areas.
</li>
<li>
Manage linguist communication for all projects
</li>
</ul>
Skills and Experience:
<ul>
<li>
A Bachelor’s degree, or equivalent; Master’s degree preferred
</li>
<li>
2+ years of proven project management experience in clinical trials localization preferred
</li>
<li>
Excellent client-facing and internal communication skills
</li>
<li>
Solid organizational skills including meticulous attention to detail and multitasking skills
</li>
<li>
Able to meet deadlines and work under pressure
</li>
</ul>
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.
 
Our Tech
What sets our platform apart:
<ul>
<li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
</li>
<li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
</li>
<li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
</li>
<li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
</li>
</ul>
 LILT in the News
<ul>
<li>
Featured in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $64K - $85K

Localization Project Manager, Life Sciences (East Coast)

<h3>Job Description</h3>
Job Description
Company Overview
Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt. Our innovative approach to payment plans and relief distribution significantly improves enrollment and recovery rates, helping individuals clear debts faster and reducing delinquencies for our partners.
We treat people facing financial difficulties with respect and dignity, providing the tools and resources they need to thrive. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders.
Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup.
Role Overview&nbsp;
We’re looking for a Cloud Site Reliability Engineer (SRE) to build, operate, and optimize the infrastructure that powers our products. You’ll be responsible for ensuring high reliability, performance, and scalability of our cloud-based systems. The ideal candidate is self-sufficient, detail-oriented, and execution-driven, with a strong background in software development, site reliability engineering (SRE), and infrastructure-as-code (IaC).
You’ll collaborate closely with product and engineering teams to improve system architecture, troubleshoot issues, and automate operational processes. This role is ideal for someone who thrives in a hard-working, fast-moving environment, enjoys solving complex technical challenges, and takes personal responsibility for ensuring security outcomes are achieved and aligned to business goals.
What You’ll Do
<ul>
<li>
Design, implement, and manage cloud infrastructure to ensure reliability, scalability, and security.
</li>
<li>
Automate infrastructure and operations using Terraform, scripting, and configuration management tools.
</li>
<li>
Develop strong relationships with engineering teams to define system reliability goals and best practices.
</li>
<li>
Troubleshoot and resolve complex network and system issues using observability tools, stack traces, and system logs.
</li>
<li>
Monitor and optimize system performance, implementing best practices for high availability and disaster recovery.
</li>
<li>
Formalize and liaise with the Engineering team to guide them through a security design review process
</li>
<li>
Ensure the security and stability of Linux-based production systems.
</li>
<li>
Provide essential support in aligning our technology projects with compliance requirements, navigating the complexities of state and federal regulations, while fostering an environment of innovation.&nbsp;
</li>
<li>
Serve as a bridge between technical teams and non-technical stakeholders, translating security and compliance needs into actionable plans that support our broader business objectives.
</li>
<li>
Participate in an on-call rotation with the team. 
</li>
</ul>
What Will Enable You
<ul>
<li>
4+ years of experience in Linux system administration, managing large-scale production environments.
</li>
<li>
Strong debugging skills, with experience in performance tuning, observability, and system-level troubleshooting.
</li>
<li>
Hands-on experience with cloud platforms (AWS, Azure, or GCP).
</li>
<li>
Expertise in Infrastructure-as-Code (IaC) using Terraform or similar tools.
</li>
<li>
Proficiency in monitoring tools (e.g., Prometheus, Datadog) and health check implementation.
</li>
<li>
Experience with containerization (Docker, Podman, Kubernetes).
</li>
<li>
Scripting experience (Python, Bash, or equivalent) to automate infrastructure management.
</li>
<li>
Knowledge of networking and security best practices for cloud environments.
</li>
</ul>
Benefits and Work Environment
At Promise, we invest in our team’s well-being, growth, and sense of ownership.
<ul>
<li>
Equity for All: All full-time employees receive stock options to share in our company’s success.
</li>
<li>
100% Paid Health Coverage: We cover 100% of base medical, dental, and vision insurance plans for employees and their dependents.
</li>
<li>
Flexible Hybrid Work: We collaborate in office at least three days a week to stay connected and aligned as a team.
</li>
</ul>
Please note: Benefits are reviewed periodically and may be updated at the sole discretion of Promise.
Promise is an equal opportunity employer and does not discriminate against any applicant or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, genetic information, age, or military or veteran status. Additionally, the Company complies with applicable state and local laws governing non-discrimination in employment in every jurisdiction in which it operates. Promise is committed to promoting diversity and inclusion in the workplace. We also provide reasonable accommodations to qualified individuals with disabilities, pregnant individuals, and those with sincerely held religious beliefs, in accordance with applicable laws.
Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.
Compensation Range: $149K - $195K

Cloud Site Reliability Engineer (SRE)

<h3>Job Description</h3>
Job DescriptionAbout LILT
AI is changing how the world communicates — and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
 At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.
The Solutions Team at LILT
LILT’s Solutions team focuses on our industry AI leading technology and its application to multilingual content requirements for large enterprises as well as government agencies.&nbsp; Our team engages with customers from the pre-sales/prospect stages through post-sale/customer onboarding stages and is made up of experts in various functional and technical areas of LILT’s overall offering.&nbsp; While we work in various locations, we are highly collaborative within the team and have tight interactions with our colleagues in the LILT Sales, Product, Engineering and Services teams.&nbsp; Additionally, we operate as critical members of account-based teams that ensure LILT’s technology is utilized to deliver maximum value to our customers.&nbsp; While we’re at it, we have fun and enjoy the ride together.
Where You’ll Work
Get the best of both worlds at LILT! Dive into dynamic in-office energy 3 days a week, sparking creativity and forging bonds with your awesome team. Then, seamlessly shift gears and crush your to-do list from the comfort of your home base for the rest of the week. It's the perfect harmony of productivity and personal freedom. Want a peek inside? Visit our Careers page!
This position can be based out of our San Francisco, CA or Indianapolis, IN offices and will be expected to work in the office in a hybrid capacity. Additional locations include the Washington D.C., New York City, and Boston metropolitan areas where you will start as fully remote and then transition to hybrid once offices are opened in those locations.
Authorization to work in the US is a precondition of employment.
What You’ll Do
We're looking for an experienced Solutions AI Architect who loves solving hard problems, managing complex projects, and interacting with a variety of stakeholders. This position is for someone who has strong technical aptitude, extensive customer-facing experience, and the ability to manage multiple complex projects at once.
You will work hand-in-hand with Sales, Product, Engineering, Services, and Marketing teams to bring our platform to clients and prospects. You will be responsible for providing the technical expertise in sales pursuits to drive LILT customer acquisition and success. You will have a broad range of skills and experience, ranging from global content management lifecycle and a working knowledge of content pipelines and integrations. You will make the connection between a customer’s specific business problems and LILT's solution, the customer-facing skills to communicate that connection, and the technical skills to build demos, execute proof-of-concepts, and provide consultative assistance on architecture and implementation.
Key Responsibilities:
<ul>
<li>
Serve as the technical co-pilot to LILT Account Executives, managing the customer’s technical experience from scoping (pre-sales) to deployment (post-sales / success)
</li>
<li>
Build and present reference architectures, how-tos, and demo applications for customers
</li>
<li>
Be a subject-matter expert in translation and localization process optimization and best practices
</li>
<li>
Understand and align the customer’s technology stack to optimize localization processes
</li>
<li>
Work cross-functionally to ensure smooth prospect-to-customer transitions and long-term customer success
</li>
<li>
Play an active role in the development and maintenance of customer integrations
</li>
<li>
Develop and iterate on internal processes to ensure consistency across our solutions engagements
</li>
<li>
Track existing technology solutions and follow the latest trends and developments relevant to multilingual content management and translation; specifically the application of AI
</li>
</ul>
Skills and Experience:
<ul>
<li>
At least 4+ years of experience in a technical pre-sales role at a language services, language technology, or content management company
</li>
<li>
Experience working with a complex services-oriented solution
</li>
<li>
Proven ability to communicate, present, and influence effectively at all levels of the organization, including executive and C-level.
</li>
<li>
Experience in localization engineering is highly desirable
</li>
<li>
Familiarity with integrating CMS systems to translation workflows highly desirable
</li>
<li>
Familiarity with Large Language Models, including fine-tuning, highly desirable
</li>
<li>
A passion for technical and solution-based problem solving
</li>
<li>
Analytical approach to intelligence gathering and project planning
</li>
<li>
Outstanding verbal and written communication skills; ability to interact easily with end users and C-level executives
</li>
<li>
Keen attention to detail and adherence to deadlines
</li>
<li>
Strong desire to learn in a rapidly growing and dynamic pre-IPO growth environment
</li>
<li>
Self-motivated and inspired by a results-driven environment
</li>
<li>
Confidence in communicating technical ideas to various audiences, primarily through presentations, whiteboarding, and platform demonstrations
</li>
<li>
Comfort with a bit of chaos; startup experience is an advantage
</li>
<li>
Ability to work independently and self sufficiently while being part of a team and pursuing team goals
</li>
</ul>
Benefits
 US Postings
<ul>
<li>
Compensation: At market salary with the opportunity to earn on-target earnings (OTE), meaningful equity, 401(k) matching, and flexible time off plus company holidays
</li>
<li>
Medical Benefits: Employees receive coverage of medical, dental, and vision insurance, and more. In addition, LILT pays for basic life insurance, short-term disability, and long-term disability
</li>
<li>
Paid parental leave is provided after 6 months.
</li>
<li>
Monthly lifestyle benefit stipend via the Fringe platform to allow employees to customize benefits to their lifestyle
</li>
</ul>
Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.
Salary range- $115K-$120K
Our Story
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT’s journey is just beginning.
 
Our Tech
What sets our platform apart:
<ul>
<li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent
</li>
<li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing
</li>
<li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation
</li>
<li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review
</li>
</ul>
 LILT in the News
<ul>
<li>
Featured in The Software Report’s Top 100 Software Companies!
</li>
<li>
LILT makes it onto the Inc. 5000 List.
</li>
<li>
LILT’s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.
</li>
<li>
Check out all our news on our website.
</li>
</ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at <a href="https://lilt.com/legal/privacy" target="_blank">https://lilt.com/legal/privacy</a>.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at <a href="mailto:recruiting@lilt.com" target="_blank">recruiting@lilt.com</a>.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.
Compensation Range: $133K - $200K

Solutions AI Architect (Pre-Sales)

<h3>Job Description</h3>
Job DescriptionAbout Us
Virtuous is on a mission to inspire global generosity by helping nonprofits build better relationships with their donors. We offer a modern software platform that provides mid-sized charities with elegant tools for fundraising, marketing, volunteerism, and online giving.
Our talented team is driven to disrupt the status quo in the nonprofit sector. We are hungry, humble, and committed to delivering best-in-class software solutions, customer success interactions, and sales experiences to the world’s leading nonprofits&nbsp;
We also recognize the importance of giving back and making a difference in the communities where we live and work. That's why we practice radical generosity by volunteering at nonprofits or going the extra mile for our team and the customers we serve. We take our work seriously, but we don’t take ourselves too seriously. We believe that life is too short not to love what you do.&nbsp;
The ideal candidate for Virtuous embodies our values by:
<ul>
<li>
Asking questions with a spirit of curiosity
</li>
<li>
Giving feedback freely with candor &amp; grace, welcoming it in return
</li>
<li>
Displaying a passion for philanthropy and technology&nbsp;
</li>
<li>
Serving with joy. Everyone is willing to make the coffee!
</li>
<li>
Celebrating the wins &amp; milestones of others&nbsp;
</li>
<li>
Assuming good intent &amp; demonstrating trust in others&nbsp;
</li>
<li>
Pursuing relationships with people different from themselves &amp; creates space to be human
</li>
</ul>
Find our core values &amp; more here.
Position Summary
We’re looking for a Product Reliability Engineer (.NET) to join our Engineering team.
This is a cross-functional role that lives within Engineering but works deeply embedded with our Support team. You’ll report directly to the Director of Engineering, with a dotted-line to the Director of Technical Support.
Your mission is to increase product reliability and support efficiency by resolving advanced customer issues or bugs, building internal tooling, and strengthening engineering-minded practices within Tier 2 Support. This role is ideal for someone who thrives at the intersection of development, diagnostics, and Technical Support.
Responsibilities
Primary — Resolve Complex Support Tickets
<ul>
<li>
You’ll be the go-to engineer for tackling tough customer issues that reach Tier 2 and require deep application or systems knowledge. This includes:
</li>
<li>
Troubleshooting complex .NET service behaviors, data anomalies, or performance bottlenecks.
</li>
<li>
Debugging support requests from Tier 2 that require engineering insight or code-level evaluation.
</li>
<li>
Drive resolution of customer reported bugs by identifying root causes and delivering targeted fixes or mitigations.
</li>
<li>
Maintaining empathy for Support and customers throughout incident response.
</li>
<li>
Willingness to join customer calls to investigate issues firsthand, build trust, and accelerate resolution.
</li>
</ul>
Secondary — Build Internal Support Tooling
<ul>
<li>
You’ll help our Support team move faster by creating the tools they need to solve more problems independently. You will:
</li>
<li>
Build and maintain internal diagnostics tools, dashboards, and scripts.
</li>
<li>
Create reusable utilities for inspecting customer environments and data.
</li>
<li>
Identify patterns in escalations and proactively reduce friction through automation or visibility tooling.
</li>
</ul>
Tertiary — Equip the Support Team with Engineering Thinking
<ul>
<li>
You’ll help foster deeper engineering knowledge within Support by:
</li>
<li>
Mentoring Tier 2 agents on technical systems, debugging practices, and tooling.
</li>
<li>
Hosting working sessions to walk through incident root causes and resolutions.
</li>
<li>
Collaborating to improve workflows, escalation paths, and the overall support-to-engineering handoff process.
</li>
</ul>
You Must Have
<ul>
<li>
You have 5+ years of experience in software engineering with strong expertise in .NET (C#, ASP.NET Core).
</li>
<li>
You have experience in SaaS environments and a deep understanding of multi-tenant systems, APIs, and distributed application behavior.
</li>
<li>
You enjoy debugging and getting to the bottom of complex edge cases.
</li>
<li>
You have strong communication skills and love partnering with non-engineers to solve hard problems.
</li>
<li>
You’re curious and proactive—when you see recurring issues, you dig in and design a better path forward.
</li>
<li>
You’re comfortable being customer-facing—jumping on calls or helping restore trust during high-impact incidents.
</li>
</ul>
Bonus Points
<ul>
<li>
Experience with tools like Azure App Services, Azure SQL, Redis, Hangfire, Application Insights, DataDog or other observability platforms.
</li>
<li>
Experience working with Zendesk and Jira to track issues and collaborate across teams.
</li>
<li>
Prior experience in Site Reliability, Production Support, or Customer-Facing Engineering roles.
</li>
<li>
Background in nonprofit tech, CRMs, or fundraising systems.
</li>
</ul>
What We Offer
<ul>
<li>
Market competitive pay leveraging Carta data
</li>
<li>
Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)
</li>
<li>
401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days
</li>
<li>
We value our employee’s work-life balance and encourage taking advantage of Unlimited PTO
</li>
<li>
Supportive time off including paid volunteer days and company holidays
</li>
<li>
Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
</li>
<li>
12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)
</li>
<li>
We pride ourselves on Community and host exciting company outings and events.
</li>
</ul>
We’ve recently noticed an increase in recruitment scams where individuals are impersonating recruiters to obtain personal or financial information through fraudulent interviews and job offers. Please note that all legitimate communication from Virtuous will only come from the @virtuous.org domain. If you receive a message from other domains, even if they look similar (e.g., virtuouscareers.org or virtuousjobs.com), they are&nbsp;not legitimate&nbsp;and we recommend disregarding it immediately.

Product Reliability Engineer (.Net)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Financial Services solutions, including cloud infrastructure, virtualization, and NVIDIA-powered platforms. This is a unique opportunity to lead GTM efforts across banks, asset managers, insurers, and fintechs within a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for the Financial Services vertical with enterprise-ready cloud and AI solutions
</li>
<li>
Target customer segments including banking, insurance, asset management, and fintech
</li>
<li>
Build distribution strategies with product, engineering, and industry experts
</li>
<li>
Drive early-stage sales from prospecting through deal structuring and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Build ecosystem partnerships with NVIDIA, fintechs, consultancies, and VCs
</li>
<li>
Represent the company at financial industry events and thought leadership forums
</li>
<li>
Lead hiring and mentorship for GTM-facing roles as the vertical grows
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership experience in financial services, cloud/AI infrastructure, or fintech
</li>
<li>
Proven success launching new products or verticals from scratch with founder-like ownership
</li>
<li>
Strong sales and stakeholder engagement skills with senior decision-makers
</li>
<li>
Strategic partnership experience (e.g., NVIDIA or similar platforms)
</li>
<li>
Familiarity with AI/ML infrastructure (LLMs, RAG, vector DBs, NLP)
</li>
<li>
Knowledge of enterprise sales cycles and financial services compliance expectations
</li>
<li>
Bonus: experience in trading, fraud, or risk tech; understanding of GLBA, FFIEC, FINRA, MiFID II; deep network in FSI
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Curiosity and insight into enterprise AI infrastructure and financial applications
</li>
<li>
Comfort operating in a high-growth, less-structured environment
</li>
<li>
Cross-functional alignment and innovation mindset
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
</li>
<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

GTM Lead, Financial Services (AI Infra)

<h3>Job Description</h3>
Job DescriptionAbout the Company
Our client is a leading AI infrastructure provider operating a full-stack cloud platform designed for intensive AI workloads. The company features proprietary hardware and software architecture, including servers, racks, and data center designs. They're building comprehensive infrastructure for the global AI industry with large-scale GPU clusters and developer tools.
The Mission
Democratize access to cutting-edge AI infrastructure that accelerates global AI innovation at speed and scale, empowering builders worldwide.
The Opportunity
As the GTM Lead, you'll shape market positioning for Physical AI solutions, including GPU clusters, NVIDIA-powered infrastructure, and cloud platforms. This is a unique opportunity to drive Physical AI adoption across global enterprises in a well-funded, rapidly scaling organization.
What You'll Do
<ul>
<li>
Lead GTM strategy for Physical AI vertical with cloud infrastructure and AI computing solutions
</li>
<li>
Target industrial robotics, automotive OEMs, warehouse automation, and smart factory operators
</li>
<li>
Build distribution strategies with product engineering teams and industry experts
</li>
<li>
Drive enterprise sales from prospect engagement through deal closure and onboarding
</li>
<li>
Develop positioning, messaging, and GTM assets with cross-functional teams
</li>
<li>
Build thought leadership at industry conferences and trade shows
</li>
<li>
Lead talent acquisition and mentorship for GTM roles as the team scales
</li>
</ul>
What You Bring
<ul>
<li>
GTM or product leadership in AI, cloud, robotics, manufacturing, or deep tech
</li>
<li>
Success launching new products/verticals from scratch with founder-mentality ownership
</li>
<li>
Strong sales skills and ability to engage C-level stakeholders
</li>
<li>
Experience building strategic partnerships with ecosystem leaders like NVIDIA
</li>
<li>
Domain knowledge in robotics, industrial automation, or manufacturing
</li>
<li>
Legal authorization to work in the U.S. on a full-time basis without visa sponsorship
</li>
<li>
Bonus: Startup founder experience, GPU platform familiarity, industry network
</li>
</ul>
Key Success Drivers
<ul>
<li>
Executive presence with healthy assertiveness and collaborative leadership
</li>
<li>
Intellectual curiosity about AI infrastructure and Physical AI applications
</li>
<li>
Comfort in dynamic, high-growth environments
</li>
<li>
Innovation-focused with cross-functional collaboration skills
</li>
<li>
Professional maturity and transparent communication
</li>
</ul>
Why Join?
<ul>
<li>
Competitive compensation ranging from $180,000 to $300,000 per year (base salary plus performance bonuses and RSUs)
</li>
<li>
100% company-paid medical, dental, vision for employees and families
</li>
<li>
Flexible remote work environment
</li>
<li>
401(k) with 4% match, disability/life insurance
</li>
<li>
20 weeks parental leave (primary), 12 weeks (secondary)
</li>
<li>
Up to $85/month for mobile and internet
</li>
<li>
Opportunity to work with cutting-edge AI and cloud technologies
</li>
<li>
Contribute to sustainable AI infrastructure with energy-efficient data centers
</li>
<li>
Be part of a team that operates one of the most powerful commercially available supercomputers
</li>
</ul>
Interviewing Process
<ul>
<li>
HR Screening
</li>
<li>
Level 1: Hiring Manager interview (General fit)
</li>
<li>
Level 2: Interview with Head of Product (In-depth)
</li>
<li>
Level 3: Interview with Head of Sales (In-depth)
</li>
<li>
Level 4: Case Study
</li>
<li>
Reference and Background Checks: conducted after successful interviews
</li>
<li>
Job Offer: provided to the selected candidate
</li>
</ul>
We are proud to be an equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity, or expression, sexual orientation, or any other characteristic protected by applicable federal, state or local law.
Compensation Range: $180K - $300K

4,876 Technology Jobs in Arizona