About the Team 

Roku’s Voice Team aims to develop the best voice system for TV.  We enable users to launch channels, search for movies, TV shows, sports, and music, discover new content, and control their TVs and Smart Home devices with natural spoken requests, including hands-free, in multiple languages.  Our goal is to help people find what they want and make it easier for people to stream.  We accomplish this using state-of-the-art technology and engineering to make it happen, with consideration for the customer as the center of all that we do.

About the Role

We are looking for a top-notch Sr. Computational Linguist who is passionate about using language data and modeling to help our users connect effortlessly to Roku content and functionality.  In this role, you will have the opportunity to analyze data from our users around the world and incorporate your insights into our products.      

You will be joining a talented, high-performance team with a history of delivery.  We are looking for someone who can help us maintain this accelerated pace and continue delivering high quality as we grow.

What you’ll be doing

• You will develop models to extend voice support to new Roku features and across languages internationally
• You will collect and analyze spoken and written language data to improve our models, capturing a wide variety of expressions in rule-based or machine-learned systems
• You will maintain our existing systems, recognize issues and apply the right tools to debug and solve problems

We’re excited if you have

• Master’s or Ph.D. degree in Linguistics, Computer Science, or related field
• Proficiency in at least one non-English language, ideally at the native or near non-native competence level, with Spanish or Portuguese preferred
• At least two years of experience with spoken natural language applications
• Solid knowledge of core linguistics: semantics, syntax, morphology, phonology, phonetics, discourse, and dialogue
• Experience with rule-based grammars and machine learning for NLP, including LLM and generative AI
• Practical experience with cleaning, manipulating, and analyzing large natural language data sets
• Experience with scripting languages, preferably Python
• Experience creating and adapting database queries in SQL
• Experience with version control and collaborative software development

#LI-SB5

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

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

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

Position Expectations

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

The right candidate for this role will be

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

Nice to have!

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

About MongoDB

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

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

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

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

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

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

REQ ID: 2263203305

Technical Director, Generative AI

About the Role

As a Technical Director, you’ll collaborate with cross-functional teams to define processes and to deliver high-quality results through well-managed, on time and on budget projects. This is a leadership role combining technical strategy, hands-on technical expertise, and execution. You will be responsible for discovery, shaping solutions, prototyping, guiding creative technologists and developers, owning the technical delivery and scale automation frameworks for our global clients.

We are looking for a Technical Director to lead the technical direction, planning, and delivery of AI-driven production work across key client accounts. This role sits within our Transformation and Applied AI team, focused on building and scaling AI pipelines for image, video, text and content generation. Technical Director acts as the technical counterpart to Solution Leads (Producers) and Creative Directors, ensuring what is sold can be realistically delivered from a technical perspective. You will define how things get built, estimate technical efforts, and assemble the right technical team to execute.

This role is focused on AI pipelines for image and video generation at scale, workflow automation and content production systems, model usage, fine-tuning, and dataset considerations, connecting multiple tools, APIs, and systems into production-ready pipelines.

Responsibilities

• Own technical delivery end-to-end: from early estimations through production/development and final delivery.
• Define technical approaches for AI-driven projects (image/video generation, automation pipelines, model training/fine-tuning).
• Translate ambiguous briefs into clear technical plans, asking the right questions around scope, assets, datasets, outputs, and constraints.

Partner closely with Solution Leads and Creative Directors to align scope, timelines, and feasibility

• Know how to assemble the right project team with required technical skills (e.g. Creative Technologists, ML engineers, backend developers).
• Lead and guide technical teams during production, ensuring quality, avoiding scope creeps, and focus on the right technical direction.
• Validate feasibility and manage trade-offs between budget, timeline, and technical complexity.
• Identify risks early and communicate constraints, assumptions, and dependencies clearly.
• Review and guide implementation of AI pipelines (e.g. ComfyUI workflows, API integrations, automation systems).
• Ensure technical quality and QA alignment, working with QA teams where needed.
• Be client-facing when required, presenting technical approaches, documentation, and progress.

About You

The essentials

• 1+ years in a Technical Director, Technical Lead, or similar production-focused leadership role.
• 5+ years of hands on experience in one of the focus areas: Creative Technology, Software Development, 3D/VFX, Real-time Engines.
• Solid understanding of machine learning fundamentals - model architectures, training vs. inference, and fine-tuning methods, and apply them in real-world generative AI pipelines.
• Strong experience in scoping, estimating, and delivering technical projects.
• Hands-on experience building or working with AI / generative pipelines, beyond text to image.
• Experience integrating APIs, automation workflows, or multi-step pipelines.
• Ability to translate high-level ideas into concrete technical plans.
• Strong understanding of production realities: timelines, budgets, resourcing.
• Comfortable leading technical teams and making architectural decisions.
• Ability to operate in ambiguous environments and bring structure quickly.
• Strong communication skills and ability to push back on unrealistic expectations.

Not a must, but a plus

• Academic or research background in Machine Learning, Computer Science, or related fields.
• Certifications in Machine Learning, Deep Learning, or Engineering.
• Experience leading cross-functional technical teams (e.g. software engineers, ML engineers, creative technologists, AI artists).
• Background in creative technology, real-time systems, or virtual production pipelines.
• Experience building or supporting scaled content generation systems or working with CPG / enterprise clients.
• Experience in marketing campaign execution (e.g. media, email) and understanding of basic performance metrics.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

#LI-hybrid #LI-MJ1 GH9695

As a Senior Memory Sales Manager, you will be responsible for driving revenue for memory (DRAM) and storage (NAND) products within an assigned strategic customer that is a leader in AI and compute solutions.

What You’ll Do

• Develop and execute business‑development strategies that drive revenue and market‑share growth.
• Lead direct sales engagements across multiple business units and subsidiaries at the customer, managing the full sales cycle from opportunity identification to sales closure.
• Coordinate marketing and market‑intelligence activities with the customer as an ecosystem partner.
• Partner with product management, engineering, and marketing to ensure solutions meet the customer’s technical roadmap and Samsung’s business objectives.
• Provide regular updates and executive‑level reports on customer engagements, pipeline health, market intelligence, and sales performance to senior Samsung leadership.
• Monitor memory market trends and competitive landscape at the customer; translate insights into actionable recommendations for internal teams.
• Identify and pursue new business opportunities that expand Samsung’s footprint and strategic importance within the customer organization.
• Travel domestically and internationally (including 1‑2 international trips per year) to conduct on‑site meetings, workshops, and executive briefings.

Location: Daily onsite presence at our Austin, Texas (primary) – Open to candidates in San Jose, CA. in alignment with our Flexible Work policy

Reports to: VP, Customer/Market Insights 

What You Bring

• Bachelor’s or Master’s degree in Sales, Marketing, or Engineering related field.
• 10+ years of direct sales experience with large, strategic customers (7+ years if holding a Master’s). Experience selling semiconductors, especially memory, storage, computing, or networking products preferred.
• Proven business‑development track record, demonstrating the ability to create and deliver growth strategies.
• Strong marketing‑intelligence capabilities: competitive analysis, TAM sizing, trend forecasting, and ecosystem partnership coordination.
• At least 5 years of experience in the memory or storage market (DRAM/NAND) preferred.
• Demonstrated ability to collaborate cross‑functionally with product, engineering, and marketing teams in a global environment.
• Excellent communication and presentation skills; comfortable delivering executive‑level updates.
• Willingness to travel (≈20% domestic) and undertake 1‑2 international trips each year.

#LI-KS1

What You’ll Do

The Senior Executive Assistant will serve as the executive assistant to the Vice President of Memory Sales for the Central and Eastern United States, handling high‑level administrative tasks and acting as a trusted liaison. In addition, the senior executive assistant will oversee the day‑to‑day operations of three remote sales offices (Austin, Houston, and Raleigh) supporting a diverse team that includes sales, sales operations, finance, quality, and engineering.

Location: Daily onsite presence at our Austin, Texas location in alignment with our Flexible Work policy

Reports to: Vice President of Memory Sales for CE Region

•    Coordinate daily operations for three remote offices (facility services, IT support, supplies, and budget tracking).
•    Maintain office policies, health & safety compliance, and emergency procedures. 
•    Organize on site customer meetings and team events.
•    Facilitate communication across locations, ensuring timely distribution of documents, reports, and project updates.
•    Manage the Sales VP’s calendar, travel arrangements, expense reports, and correspondence. 
•    Prioritize and route incoming requests, maintaining confidentiality.
•    Track office expenditures, process invoices, and reconcile monthly budgets. 
•    Compile operational metrics and produce regular status reports for the VP and senior leadership.
•    Identify and implement efficiency improvements in office workflows and cross functional collaboration. 
•    Lead initiatives for remote work best practices and technology adoption.
•    Liaise with vendors for equipment, software licenses, and facility services.
•    Oversee contract negotiations and renewals.

What You Bring

•    Bachelor’s degree (or equivalent experience).
•    5+ years of office management or administrative experience, preferably in a tech focused sales environment.

•    Proven experience supporting senior executives.

•    Proficiency with Microsoft 365 (Outlook, Teams, SharePoint, Excel) and video conferencing tools.
•    Excellent organizational and multitasking abilities.
•    Strong written and verbal communication.
•    High degree of discretion and professionalism.
•    Ability to work autonomously across time zones.
•    Experience managing remote or distributed teams is a plus.

• Proactive problem‑solver with a “can‑do” attitude.
• Strong interpersonal skills to build rapport with technical and sales personnel.
• Detail‑oriented, yet able to see the bigger picture for process optimization.

AI Underwriter

The Role 

• Computer Vision — helping evaluate and validate AI systems that analyze property imagery for risk assessment purposes.
• Generative AI — informing the development of AI-powered tools that assist in quote generation, risk narratives, and underwriting workflows.
• Predictive Modeling — contributing your underwriting expertise to proprietary risk models, helping drive more accurate and data-driven outcomes across our book of business.

What You’ll Do

• Partner closely with AI researchers and engineers throughout the full model lifecycle — from early research and development through post-production monitoring. Translate complex underwriting guidelines into clear, consistent property assessments that inform and improve AI models. 
• Conduct in-depth property reviews to identify gaps or weaknesses in current AI models and recommend improvements.
• Supervise labeling teams to ensure accurate property classification in production models.
• Provide training and ongoing guidance to annotation teams; perform continuous quality assurance on annotation projects.
• Assist in the discovery and evaluation of new and revised AI models, contributing underwriting subject matter expertise.
• Maintain open, proactive communication across underwriting and AI teams. Take on special projects and assignments as the team's needs evolve.

Basic Requirements

• 4+ years of underwriting/insurance experience (commercial preferred)  
• Bachelor’s degree or equivalent education/experience preferred
• Retail agency relationship preferred
• Curiosity, hardworking, self-accountable, positive attitude, humble and fun
• Have an opinion, share your opinion and be open to other opinions
• Passion to obtain, retain and employ knowledge – as well as share knowledge
• Excellent verbal and written communication skills
• Strong analytical skills and attention to detail

Benefits:

• Salary: $100,000 - $120,000
• ISO stock options
• Medical, dental, and vision coverage for you and your dependents
• HSA with company contributions
• 401(k) with employer match
• Flexible time off
• 10 company-paid holidays
• Paid family leave

Honeycomb is committed to fair and equitable compensation practices. The base salary range listed in each job posting represents our good faith estimate of what we expect to pay for the role. Actual compensation may vary based on skills, experience, education, and location, as well as internal alignment and market factors.

We are looking for a Manager, Customer Success Engineering (AI & Cloud Support) who is passionate about delivering exceptional support experiences and building high-performing teams.

As a Manager, CSE (AI & Cloud Support) at DigitalOcean, you will operate as a Support Manager leading a team of Customer Success Engineers (CSEs) supporting strategic customers across cloud infrastructure and emerging AI/ML workloads. Reporting to the Senior Manager of Customer Success Engineering, you will own day-to-day support operations, team performance, and customer experience outcomes.

This role is focused on driving operational excellence while building strong technical depth within the team across AI, GPUs, Kubernetes, Databases and core cloud offerings. You will play a key role in ensuring consistent support coverage, developing SMEs, and partnering cross-functionally with Product and Engineering to improve both customer experience and product quality.

The ideal candidate brings a deep understanding of cloud and AI/ML ecosystems, including machine learning operations (MLOps), and enterprise support, combined with a passion for innovation and automation, and a proven ability to lead teams in delivering “white-glove” experiences for strategic customers.

What You’ll Do:

Team Leadership & Development

• Lead, hire, train, mentor and develop a high-performing team of Customer Success Engineers (CSEs), driving accountability, performance, and career growth
• Establish performance metrics (KPIs/SLAs) and conduct regular 1:1s, performance reviews, and career development planning.
• Own end-to-end support operations, including queue management, escalations, and shift planning to ensure consistent 24x7 coverage.
• Drive improvements in key support metrics such as CSAT, response times, resolution times, and overall support quality.
• Build and strengthen technical expertise within the team across core areas such as Kubernetes (DOKS), Databases, Compute, and AI/ML workloads.
  
  

Strategic Customer Support

• Act as the ultimate point of technical escalation for our largest, most strategic enterprise customers across Cloud and AI/ML workloads, stepping in to manage critical incidents and high-severity (Sev1/Sev2) issues.
• Design and implement customized support plans, SLAs, and escalation pathways tailored to the needs of strategic accounts.
• Partner closely with Technical Account Managers (TAMs), Growth Account Managers (GAM) to conduct Executive Business Reviews (EBRs) and ensure customers are maximizing the value of our Cloud and AI/ML products.
• Proactively identify risks and opportunities within strategic accounts to improve customer experience, adoption, and retention.

Technical & Cross-Functional Operations

• Serve as the Voice of the Customer (VoC) to Product and Engineering teams, synthesizing support data to advocate for bug fixes, feature requests, and UX improvements.
• Own and continuously improve escalation protocols between AI/ML Support and CloudOps, Infrastructure Engineering, and Product — including Jira escalation routing, Sev1 bridge management, and post-incident documentation.
•  Own the development and maintenance of SOPs, escalation runbooks, HVC support playbooks, and knowledge base content — treating documentation infrastructure as a core operational lever for team scalability.
• Contribute to the vision for AI and automation within support—building intelligent tooling and driving the team toward an automation-first model to improve efficiency, scalability, and customer experience.
• Foster a culture of continuous learning, ensuring the team stays ahead of evolving cloud technologies, AI/ML frameworks, and industry trends.

Key Metrics:

• Customer Satisfaction (CSAT) for strategic accounts
• Time to Response and Resolution (TTR) for strategic customers
• Tier 1 resolution rate vs. escalation rate
• Time-to-escalation and engineering handoff SLA adherence
• SLA adherence and escalation response times
• Support productivity and quality (QA scores)
• Post-incident documentation completion rate

What You’ll Add to DigitalOcean:

• Experience: 5+ years of experience in Technical Support, Customer Success, or Technical Account Management within B2B SaaS, Cloud, or AI/ML environments ideally including experience supporting AI-native, high-growth companies with 24x7 production dependencies on GPU infrastructure.
• Leadership: 2+ years of people management experience leading technical, customer-facing teams, preferably in a high-growth, post-acquisition, or rapidly scaling environment.
• Technical Domain Expertise: Solid understanding of AI/ML concepts, including Generative AI, Large Language Models (LLMs), natural language processing (NLP), and MLOps. Deep familiarity with GPU infrastructure (NVIDIA H100/H200, bare metal GPU provisioning) and AI inference workloads is strongly preferred.
• Coding/Integration: Proficiency in reading and debugging code (Python preferred) and troubleshooting RESTful APIs and cloud architecture.
• Communication: Excellent verbal and written communication skills, with the ability to translate complex technical or AI concepts for diverse audiences OR to both highly technical engineers and non-technical business executives.
• Problem-Solving: Proven ability to remain calm under pressure and de-escalate high-stakes situations with enterprise clients.

Preferred Qualifications:

• Hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and AI toolchains (e.g., LangChain, Hugging Face).
• Experience with major cloud platforms (AWS, Google Cloud, Azure) and their native AI/ML services.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field.
• ITIL or equivalent service management certification

Compensation Range: 

• $125,000 - $153,000

*This is a remote role

JR: 2026-7692

#LI-Remote

DigitalOcean is expanding its AI Infrastructure layer to support the next generation of AI-driven applications. We are seeking a Senior Engineer 2 to join our AI Inference Engine Systems team. In this role, you will be a key technical leader responsible for designing, developing, and delivering high-scale, resilient data plane services that power our "Inference as a Service" offering. You will work at the intersection of distributed systems and specialized AI hardware to ensure our customers can deploy and scale their models with industry-leading performance and reliability. This is a hands-on role, requiring you to be able to develop high quality software while availing of all the productivity boosts granted by the latest AI coding agents. 

What You’ll Do:

• Technical Leadership: Act as a technical leader on the team, driving the end-to-end design, development, and delivery of critical data plane components hosting large generative AI models.
• System Design: Architect and refine system design proposals for our high-scale, multi-tenant AI inference cloud ecosystem, ensuring they meet rigorous availability and resiliency standards.
• Performance Optimization: Implement and optimize distributed inference hosting using techniques like tensor/data parallelism, KV cache optimizations, and smart routing.
• Collaboration: Work cross-functionally with Product Managers, customer-facing teams, and other engineering teams to align technical roadmaps with customer needs.
• Mentorship: Coach and mentor junior engineers, fostering a culture of technical excellence and continuous improvement.
• Operational Excellence: Maintain and operate critical, high-scale services, utilizing observability tools and defining SLOs to ensure superior platform health.

What You’ll Bring to DigitalOcean:

• Distributed Systems Expertise: Strong experience with microservices, messaging systems, databases, and infrastructure as code.
• AI/ML Domain Knowledge: Hands-on experience hosting large language or multimodal models using inference engines like vLLM, SGLang, or Modular.
• Inference Frameworks: Familiarity with distributed inference serving frameworks such as llm-d, NVIDIA Dynamo, or Ray Serve.
• Hardware & Interconnects: Understanding of GPU-level optimization and experience with interconnect technologies like NVlink, XGMI, or RoCE.
• Architecture Proficiency: Knowledge of common LLM architectures and optimization techniques (e.g., continuous batching, quantization).
• Software Engineering: Expert-level proficiency in GoLang or Python and familiarity with gRPC.
• Cloud Operations: Proven experience shipping customer-facing software products and running critical services in a high-scale environment similar to DigitalOcean.
• Open Source Mindset: Experience integrating and building with open-source software.

Compensation Range: 

• $167,200.00 - $209,000

*This is a remote role

JR: 2026-7591

#LI-Remote

Your role
As a Revenue Enablement Program Manager, you’ll own the development and delivery of both micro and programmatic training content as the Product Specialist. You will design and facilitate hands-on learning activities and create impactful, easily consumable sales resource materials. You will also support the improvement, simplification, documentation, and successful launches of Dialpad's products, features, and pricing methodologies.

You’ll work closely with Sales Engineering, Customer Success, Product Managers, and Solutions Marketing to bridge technical and tactical gaps through insightful observation, strategic gap analysis, and value-focused execution. You’ll combine creativity and energy with thoroughness and confidence to ensure the successful adoption of new approaches and reduce friction in the selling motion.

You will bring specialized product and industry selling expertise to our Sales, Sales Engineering, and Customer Success teams. This includes fostering a culture of continuous learning and improvement to ensure every seller has the knowledge and skills to hit our revenue goals.

This position reports to our Manager of GTM Training and Enablement and has the opportunity to be based in one of our US Hubs.

What you’ll do

• Product & Pricing SME: Own product enablement efforts as the primary expert for Dialpad's entire product portfolio, add-ons, pricing workflows, and go-to-market strategy, ensuring process stability.
• Core Revenue trainer for all product or pricing updates and launches.
• Maintain all product and pricing materials in Dialpad's CMS, Highspot.
• Contribute to onboarding efforts for new hires, with a focus on quickly ramping up their product proficiency skills.
• Primarily responsible for relationships with Product Managers, Solutions Marketing, Sales Engineering, and Business Technology.
• Product Launch Enablement Lead: Consult on end-to-end product strategy, go-to-market dependencies, and pricing navigation.
• Curate all launch-related live training, resources, feedback loops, and reinforcement activities for all Revenue roles.
• Product Readiness for Sales: Bridge technical and operational gaps to ensure sales mastery in "elite discovery", scoping, quoting & customer growth. 
• Partner with Sales Engineering and Revenue leadership to identify gaps in skills or knowledge and design training programs to address them.
• Develop and deliver interactive training workshops, job resources, practice activities, demo certifications, and more.
• Data-Driven Enablement: Activate internal use of our own Dialpad products, in tandem with other demo tools like Consensus, to efficiently reinforce training and track enablement results against expected outcomes.
• Spearhead product feedback sessions and surveys to help inform the product team and enablement's approach.
• Work closely with the overall Sales Enablement team to ensure that initiatives are aligned and integrated across the business.

Skills you’ll bring

• 2-4+ years of experience in Sales Enablement, Sales, Sales Engineering, or a related role, with experience in supporting or working closely with sales teams, ideally in the UCaaS and CCaaS industry.
• Strong technical acumen, with an understanding of basic sales process and terminology, and how to enable revenue-driving teams for success.
• Excellent communication, facilitation, and presentation skills, with the ability to collaborate effectively with cross-functional teams.
• Experience using Generative or Agentic AI Tools, Docebo (LMS), and Highspot (CMS) preferred.
• Ability to manage multiple projects and deadlines in a dynamic, fast-paced environment.
• A proactive, problem-solving mindset and a passion for continuous improvement.
• Bachelor’s degree preferred.
• Sales experience preferred.

About the Role

As a Senior Technical Program Manager – Trading & Core Software, you will drive programs that expand Optiver’s trading footprint and evolve the core systems that underpin our global trading platform. This role focuses on delivering initiatives that enable new markets, asset classes, and products, while strengthening the foundational software that supports trading at scale. You’ll work closely with high-performing engineering and trading teams to turn strategy into delivery, ensuring Optiver’s trading systems evolve with speed, reliability, and precision.

What you’ll do

In Optiver’s fast-paced environment, you will work alongside engineers and leaders to deliver multiple projects that support the firm’s strategic growth and take Optiver to the next level.

As a Senior Technical Program Manager, your key responsibilities include:

• Lead and coordinate delivery of large-scale technology programs across trading expansion and core trading software domains, including instruments, trades, positions, and control systems.

• Drive end-to-end program execution across multiple engineering and trading teams.

• Partner with trading, research, and engineering leadership to align technical delivery with trading strategy.

• Apply data-driven insights to program prioritization, sequencing, and decision-making.

• Ensure delivery discipline while operating in a fast-moving, performance-critical environment.

• Drive continuous improvement and operational excellence across trading and software development teams.

What you’ll get

• The opportunity to work alongside best-in-class professionals from over 40 different countries
• Highly competitive compensation package including performance-based bonus structure
• 401(k) match up to 50%
• Comprehensive health, mental, dental, vision, disability, and life coverage
• 25 paid vacation days alongside market holidays
• Extensive office perks, including breakfast, lunch and snacks, regular social events, clubs, sporting leagues and more

Who you are

• Highly self-motivated and thrive in environments with minimal oversight. You take full ownership, show initiative, manage your own priorities effectively and keep momentum even when direction isn’t fully defined.

• Hold a degree in computer science, engineering, or a related STEM field.

• Have 5+ years of experience in software engineering or technical program management within a high-performance technology environment

• Comfortable operating close to trading and quantitative research & development teams.

• Strong technical foundation in distributed systems and core platform software.

• AI-first mindset with experience leveraging generative or agentic AI to automate workflows, improve program visibility, and enhance productivity

• Motivated by impact and intrigued by the intersection of trading, technology, and strategy.

• Exposure to AI/ML workflows or data-driven trading initiatives is a plus.

Who we are

At Optiver, our mission is to improve the market by injecting liquidity, providing accurate pricing, increasing transparency and stabilising the market no matter the conditions. With a focus on continuous improvement, we prioritise safeguarding the health and efficiency of the markets for all participants. As one of the largest market making institutions, we are a respected partner on 100+ exchanges across the globe.

Our differences are our edge. Optiver does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, or other legally protected characteristics.

About the Team

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility. Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.

About the Role

We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready to take on complex technical challenges, or a seasoned technical leader looking to take on complex technical challenges we want to hear from you.

In this role, you will drive the development and deployment of machine learning solutions for some of the hardest problems in autonomy conducting experiments, managing large-scale datasets, and implementing deep learning models tailored for real-world autonomous systems. At more senior levels, you will also define technical strategy, mentor engineers, and influence how ML is practiced across the organization.

What You'll Do

• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness — including models for environmental perception and predicting the behavior of other road users. At Staff and Principal levels, you will set the technical vision for entire model families and drive architectural decisions across teams.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior+ engineers will establish standards and tooling that scale across the organization.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay current with advancements in deep learning and lead the evaluation and adoption of novel approaches. Principal engineers are expected to identify opportunities before they become industry standard.
• Collaborate and Lead Across Teams: Work closely with researchers, software engineers, and robotics experts to integrate ML into real-world autonomous systems. At Staff and Principal levels, you will drive alignment across functions, mentor junior and senior engineers, and serve as a technical authority across the org.

What You'll Need

• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Deep expertise in at least one modern ML domain, such as computer vision, large language models, or generative AI.
• Senior: 4+ years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Staff: 7+ years of experience, with a track record of leading significant technical initiatives and influencing engineering practices beyond your immediate team.
• Principal: 10+ years of experience, with demonstrated impact at an organizational or industry level — setting multi-year technical direction and driving outcomes across multiple teams.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts from research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives at all levels of the organization.

What You Must Have

• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as Triton, TensorRT, or similar frameworks.
• Publications in top-tier ML conferences, contributions to patent applications, or ML-related open-source projects.
• For Staff/Principal: experience building and scaling ML teams, defining org-wide technical standards, or driving cross-company research agendas

About the role

As a Forward Deployed Engineer (Customer), you will serve as the lead technical strategist embedded with our customers. You'll own the end-to-end design of AI-driven business transformation projects from understanding domain-specific needs to architecting scalable agent-based solutions using DevRev’s platform. 

This role requires a unique blend of enterprise architecture, AI solutioning, customer empathy, and cross-functional collaboration. You’ll act as the connective tissue between pre-sales, customer success, engineering, and product teams bringing our AI capabilities to life for real-world impact.

What You’ll Do

• Own Customer Context: Deeply understand customer business domains, systems, and OKRs/KPIs to guide solution design.
• Architect AI Transformation: Design and document AI-driven workflows, agents, skills, and system integrations that align with customer goals and industry best practices.
• Be a Trusted Advisor: Build strong partnerships with customer stakeholders as their technical counterpart, delivering confidence in our platform’s capabilities.
• Translate & Coordinate: Bridge the gap between pre-sales/CS and engineering, ensuring requirements are actionable and outcomes measurable.
• Design Reusability: Architect modular, scalable solutions that can be extended across customers and verticals.
• Drive Delivery: Collaborate with Applied AI engineers to oversee solution implementation, ensuring architectural alignment and execution excellence.
• Support Pre-Sales: Partner with sales engineers and customer teams to scope new opportunities, define technical requirements, and provide input on feasibility and effort.
• Lead Innovation: Stay ahead of emerging trends in AI, software integration, and business transformation—and bring that insight to our solution designs.
• Maintain Quality & Compliance: Ensure all solutions meet performance, security, and compliance standards.
• Travel Ready: Willingness to travel up to 50% for on-site discovery, deployment, and customer engagement.

What You Bring

• Experience: 7+ years in solution architecture or consulting roles, focused on enterprise-scale, customer-facing software implementations.
• AI & Cloud: Hands-on experience with generative AI tools, cloud platforms (AWS, GCP, or Azure), and modern integration patterns (APIs, webhooks, pipelines).
• Business Acumen: Strong understanding of customer priorities, with the ability to translate business needs into technical execution plans.
• Design Thinking: A problem-solver with a growth mindset, skilled in crafting scalable and future-proof architectures.
• Communication: Exceptional ability to convey complex technical and business concepts to diverse stakeholders, both technical and non-technical.
• Project Leadership: Proficiency with project planning tools and methodologies; capable of managing multiple solution tracks and timelines.
• Metrics Focus: Proven ability to define and track success through OKRs, KPIs, and tangible business outcomes.
• SaaS & Platform Fluency: Background in SaaS or enterprise platforms, with understanding of extensibility and multi-tenant design principles.
• Education: Bachelor's degree in Computer Science, Engineering, or related discipline. Advanced degrees or certifications in AI/architecture frameworks (e.g., TOGAF, SAFe) are a plus.

About the team

The Applied AI Engineering team ensures our customers get the optimal experience from DevRev. As customers go through their DevRev journey, they may identify needs for integration with existing enterprise systems and services, workflow and process automation, or customization of the DevRev platform to achieve their business objectives. Our team works with customers to understand requirements and design, develop, and implement solutions to meet customer goals.

Your mission is to systematically help customers find value with DevRev by developing a thorough understanding of their needs, owning coordination between internal and external stakeholders, and engineering the solution to get the job done. You are a product expert and will use your application development and AI/ML skills to ensure our customers get the most out of the DevRev platform.

About the role

As a Forward Deployed Engineer at DevRev, you will work closely with our post-sales Customer Experience team to help customers unlock value through AI. You will design and deploy intelligent agents, automated workflows, and integrations that transform how customers operate — connecting DevRev to their broader ecosystem and putting AI to work across their most important business processes. Where needed, you will build custom applications and solutions in TypeScript, JavaScript, Python, and related languages to bring these experiences to life.

You will employ your creativity and technical expertise to ideate and shape how AI, analytics, and workflows are used in customers’ processes. You are a product expert focused on implementation — building, shipping, and iterating to ensure customers get the most out of the DevRev platform.

What You’ll Do

• Customer-Facing: 30% working directly with customers
• Coding & Integration: 70–80% hands-on technical implementation

Build & Deploy

• Build & Deploy Solutions: Design, develop, and launch AI agents, integrations, and automations connecting DevRev with customer environments
• Integrate Systems: Connect DevRev with SaaS and non-SaaS platforms through APIs, webhooks, and real-time communication architectures for seamless data flow
• Optimize AI Performance: Apply prompt engineering, fine-tune semantic search engines, and leverage generative AI techniques to enhance agent accuracy and user experience

Data & Insights

• Own Data Insights: Write SQL queries, perform data analysis, and build dashboards to surface insights that drive customer decision-making
• Prototype & Iterate: Develop rapid proofs-of-concept, conduct live technical demos, and refine solutions based on customer and stakeholder feedback

Collaboration & Enablement

• Lead Cross-functional Collaboration: Maintain constant communication loops with customers, engineering, product, and customer success teams
• Guide Technical Adoption: Learn and master new tools, then guide customers through critical workflows
• Travel Ready: Willingness to travel up to 30% for on-site implementations, technical workshops, and customer engagements

What You Bring

• Experience: 3–5+ years in software development, systems integration, or platform engineering. Customer-facing experience is a plus
• Coding Skills: Strong proficiency in TypeScript, JavaScript, Python, data structures and algorithms.
• Applied AI Knowledge: Familiarity with LLMs, prompt engineering, frameworks like RAG and function calling; ability to build and configure AI agents
• Integration: Deep experience with API integration patterns (REST, GraphQL, webhooks), large-scale data synchronization, and event-driven/pub-sub architectures
• Cloud & Deployment: Hands-on experience deploying on serverless and edge platforms (AWS Lambda, Google Cloud Functions) with modern DevOps practices
• Data Transformation: Skilled in data mapping, schema alignment, and working with heterogeneous systems
• Observability: Experience implementing clear logging, actionable error surfacing, and telemetry to support faster debugging
• Communication: Strong written and verbal skills; ability to engage customers clearly and confidently
• Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline

ICON is looking for an experienced, open-minded, structured thinker who loves to solve complex problems and appreciates the value of prototyping and iterating applications over time. As a Senior Software Engineer II focusing on Computational Geometry & BIM at ICON, you will be responsible for developing and architecting the pre-print, computational geometry software platform for ICON's construction printing systems. This role is based on site at our Austin, TX HQ Campus and will report to our Director of Software Engineering.

RESPONSIBILITIES:

• Lead the design and implementation of new features and products to support our BuildOS design platform
• Architect and develop cutting-edge geometric algorithms that unlock the potential of ICON 3D printing technology
• Build and maintain internal tools to help visualize, instrument and debug the 3D printing process
• Partner with Architects, Structural Engineers and Building Scientists to convert architectural plans to highly efficient and structurally sound path-planning algorithms
• Work closely with R&D engineers to perfect print quality across ICON's lineup of devices and materials
• Create robust software integrations with 3rd party CAD and CAM software
• Design and develop BIM automation tooling to streamline architectural workflows and extract design intelligence from building models
• Lead exploration and prototyping of AI-driven design approaches for generative design, design optimization, and intelligent automation of construction planning
• Build systems that bridge architectural intent with manufacturing constraints through computational design
• Drive technical standards and best practices for computational geometry systems

MINIMUM QUALIFICATIONS:

• 8+ years of professional experience as a software engineer with demonstrated technical leadership
• BS in Computer Science or equivalent experience
• Proven ability to work closely with a wide variety of stakeholders to rapidly analyze and reduce large requirements into small deliverables
• Strong experience building platforms, micro-services, and APIs at scale
• Track record of architecting complex systems and making sound technical decisions
• A willingness to accept failure, learn and try again, and an open mind to try solutions that may seem impossible at first
• Excellent ability to communicate clearly and succinctly both in-person and via written asynchronous channels
• Experience mentoring other engineers and contributing to team growth

PREFERRED SKILLS AND EXPERIENCE:

• Advanced degree in Computer Science
• A passion for learning new disciplines and gaining a deep understanding of how other professionals do their work
• Strong Node.js and TypeScript experience, with a functional programming approach
• Deep mathematical background in geometry, linear algebra, numerical analysis and advanced 3D mathematics
• Strong intuition for physical systems and principles of stability
• Extensive experience with tools and services that leverage three-dimensional trigonometry to calculate and analyze shapes and tool paths
• Hands-on experience with BIM platforms (Revit, Rhino, Grasshopper) and their APIs for automation
• Familiarity with AI/ML frameworks and applications in design, generative modeling, or optimization problems
• Experience in computational design, algorithmic architecture, or design automation
• React, Redux, and RxJs experience
• Proven experience interfacing with CAD and CAM software APIs
• Experience with parametric modeling frameworks and computational design tools
• Strong interest in the principles of parametric architecture
• PostgreSQL, GraphQL experience
• Modern CI/CD workflows: GitHub, Jenkins, Travis, etc.
• Experience with geometric kernel libraries (CGAL, Open CASCADE, etc.)

Available location: Austin, Texas

About the Role

We are looking for a forward-thinking AI Discoverability & Optimization Intern to join our Web Strategy team within Corporate Marketing. As search behavior shifts from traditional engines to Generative AI and Coding Agents, our brand must be where the users are. You will sit at the intersection of Data Science and Digital Marketing, helping us bridge the "Data-Insight Gap" by turning raw search and citation data into a strategic roadmap for growth. In this role, you won't just look at "what happened"; you’ll define "why" and "how" we optimize for the next generation of discovery. You will work directly with our SEO and Content teams to ensure Cloudflare is not just present, but authoritative in AI-generated answers and developer-focused coding environments. To maximize your impact, you will be expected to build AI-driven workflows that automate routine "busy-work," allowing you to focus on high-level analytical thinking and creative strategy.

Responsibilities

• AEO & GEO Strategy: Identify "high-intent" user prompts where our brand is under-represented and recommend specific content optimizations — such as FAQ blocks or comparison tables — to capture these "missing" answers.
• Coding Agent Optimization (CAO): Analyze how coding assistants (like GitHub Copilot or Replit Agent) interpret our documentation and technical assets to ensure our tools are the first choice for developers.
• Authority Mapping: Build a "Priority Source List" of third-party wikis, niche forums, and technical blogs that AI engines frequently cite, serving as a "hit list" for PR and backlink efforts.
• Intelligence Mastery: Deeply utilize SEMRush for AEO and SEO intelligence and Adobe Analytics to understand user behavior and the downstream impact of our visibility.
• Sentiment & Perception Audits: Identify queries where AI sources provide neutral or negative sentiment, outlining SME-led outreach strategies to improve these results.
• Impact Modeling: Develop a "Prioritization Matrix" that stack-ranks opportunities based on "Ease of Implementation" vs. "Potential Reach," ensuring we focus on the highest-value wins.
• Executive Reporting: Distill complex dataset findings into an "executive-ready" AI Visibility & Gap Report by the end of the summer.

Skills & Qualifications

• A background in a quantitative or marketing field (Marketing, Data Science, CS, or Economics), MBA/MS preferred, with a passion for moving beyond "what happened" to "how we optimize".
• Available for a full-time 12-week internship, working from our Austin office 3-5 days a week during the summer (May-Aug).
• Data Proficiency: Experience navigating large datasets using Excel/Google Sheets, SQL, or Python.
• Technical Curiosity: A foundational understanding of SEO, with a strong interest in AEO (Answer Engine Optimization) and how Coding Agents retrieve information.
• Marketing Intuition: The ability to put yourself in the user's shoes to understand how they search for solutions in a generative-AI world.
• AI-First Mindset: A desire to build AI-powered workflows to streamline analysis and maximize creative output.
• Career Trajectory: You might want to develop into a Data Analyst, Digital Strategist, or Growth Marketer.

Bonus Points

• Previous experience or coursework specifically related to Answer Engine Optimization (AEO) or Generative Experience Optimization (GEO).
• Experience with technical documentation or contributing to open-source projects.
• Proficiency with SEMRush or Adobe Analytics.

You can check out our internship blogs to learn more about our program and hear directly from our past interns.

Available location(s): Austin, TX and San Francisco, CA

About the Role and People Team

At Cloudflare, we are helping build a better Internet, and our People Team is at the heart of that mission. We are looking for a highly organized, tech-savvy People Team Intern who is passionate about the intersection of Human Resources and Artificial Intelligence.

You will be embedded in one of these global HR functions to drive project efficiency and help us pioneer the use of AI in the workplace:

• People Operations: Manages the administrative and operational aspects of the employee lifecycle, ensuring smooth HR processes and employee support.
• Talent Acquisition: Partners with managers to source, attract, and recruit top talent to fill open positions.
• HR Business Partners: Serve as trusted advisors, who leverage deep business acumen to understand, influence, and operationalize business strategy to drive results and execute on key initiatives.
• Talent Growth & Enablement: Designs and delivers programs and resources to develop and retain critical talent, foster professional growth, and amplify career advancement.
• Benefits: Designs, manages, and administers employee benefits programs to attract and retain talent, ensure regulatory compliance, and support employee well-being while optimizing company costs. Serves as a strategic partner to multiple stakeholder groups.

What You’ll Do

• Project Management & Execution: Support end-to-end project lifecycles for People Team initiatives. You will keep timelines on track, manage stakeholders, and ensure no detail is overlooked.
• Process Optimization: Identify manual HR workflows and leverage AI solutions to automate and improve them. You will explore ways to use generative and agentic AI to streamline employee communications and internal documentation. You will also work on system automation projects and help with system testing.
• Data-Driven Insights: Analyze people data to identify trends in hiring, retention, and employee engagement. You’ll use these insights to make recommendations to leadership.
• Knowledge Management: Maintain and audit our internal documentation and knowledge base, ensuring that employees have access to the most accurate, up-to-date information.
• Internal AI Advocacy: Become a power user and internal champion for our proprietary tools helping the team leverage these platforms for smarter decision-making.

Desirable Skills, Knowledge, and Experience

• Currently pursuing a Bachelors degree (open to all majors) or relevant HR program.
• Exceptional Organization: You are the person who has a spreadsheet for everything. You can juggle multiple projects without dropping the ball.
• Detailed-Oriented Mindset: You catch the data integrity issues others miss and care deeply about the "small things" that impact employee experience.
• AI Fluency: You are familiar with AI tools and how they can be applied to improve business processes and improve team efficiencies. Experience with LLMs or automation tools is a major plus.
• Data Literacy: You are comfortable analyzing data and understand how to use it to tell a story or solve a problem.You are a master of spreadsheets and data visualization.
• Adaptability: You thrive in a fast-paced environment and are comfortable pivoting between different teams and priorities.
• Communication: Strong written and verbal skills, with the ability to explain complex processes simply.
• Ability to commit to a minimum 12 week summer internship.
• In office 3-5 days a week in Austin office.

Bonus Points

• Experience managing internal Wikis (e.g., Confluence, Notion).
• Familiarity with HR compliance, processes, program administration, and tools.
• A background in Project Management (PMO) or Business Operations.

Deadline to Apply: Mar 10, 2026 

• We will be reviewing applications on a rolling basis.

Compensation:

• Estimated hourly rate is $24-25/hr.

Available location: Austin, TX

Role Summary

Build the technical infrastructure that powers Cloudflare’s Go-To-Market (GTM) engine. You will develop AI-powered agents and web applications to automate and scale core marketing and sales functions. This role is for a high-agency engineer who wants to use a modern full-stack approach to solve real-world business bottlenecks, bridging the gap between strategic GTM needs and technical execution.

What you’ll get out of this internship:

• Generative AI & Agents: Master the Cloudflare Agents SDK and LLM orchestration.
• Full Stack Development: Build scalable, stateful GTM applications at the Edge.
• GTM Strategy: Learn how technology directly enables global sales and marketing success.
• Entrepreneurship: Own the lifecycle of a technical project from ideation to internal launch.

Technical Translation: Learn to communicate the business impact of technical systems.

Role Responsibilities

• Engineering GTM Tools: Architect and deploy production-ready agents using the Cloudflare stack (Workers, Agents SDK, Sandbox SDK, Durable Objects etc..).
• AI Enablement: Design autonomous workflows using Workers AI and Vectorize (RAG) to automate technical Case Studies, Sales Enablement, and Event Messaging.
• Rapid Development: Utilize AI coding assistants (Claude Code, Windsurf, or OpenCode) to move from concept to a shipped internal tool in weeks.
• Technical Ownership: Partner with Sales/Marketing to identify gaps, then build, launch, and manage the internal lifecycle of your technical solutions.

Role Requirements (Must-Haves)

• Currently pursuing a degree or program in CS or Engineering with a focus on building functional systems.
• Ability to commit to a minimum 12 week summer internship.
• In office 3-5 days a week in Austin.
• Strong skills in TypeScript/JavaScript, React, and Tailwind CSS, with experience building/consuming RESTful APIs and working with SQL or NoSQL databases.
• Proficiency with Git/GitHub and hands-on experience with AI coding environments (Claude Code, Windsurf, or OpenCode).
• A self-starter capable of taking a technical requirement from 0 to 1.

Nice-to-Have Skills

• Cloudflare Native: Experience having built and deployed projects on the Cloudflare Developer Platform.
• Startup Experience: Previous experience in a startup environment or building your own independent projects "in public."

You can check out our internship blogs to learn more about our program and hear directly from our past interns.

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

AI Strategist

This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies.

What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware.

This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. 

What experience should you have:

• 10-15 years of experience in strategist or consulting role.
• Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices.
• Ability to articulate complex ideas simply and credibly, and create executive-level presentations.
• AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense).
• Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption.
• Hands-on experience driving adoption of Generative AI solutions in the enterprise 
• Bonus Points: AI governance certification preferred

What you’ll be doing in this role:

• Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business.
• Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients
• Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios
  Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs.
• Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients.
• Focus, lead and mentor the teams to deliver measurable results.
• Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). 

What you'll need to accomplish in your first year:

• Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making.
• Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time.
• Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

AI Strategist

This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies.

What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware.

This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. 

What experience should you have:

• 10-15 years of experience in strategist or consulting role.
• Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices.
• Ability to articulate complex ideas simply and credibly, and create executive-level presentations.
• AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense).
• Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption.
• Hands-on experience driving adoption of Generative AI solutions in the enterprise 
• Bonus Points: AI governance certification preferred

What you’ll be doing in this role:

• Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business.
• Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients
• Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios
  Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs.
• Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients.
• Focus, lead and mentor the teams to deliver measurable results.
• Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). 

What you'll need to accomplish in your first year:

• Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making.
• Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time.
• Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

WE’RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let’s chat!

AI Strategist

This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies.

What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware.

This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. 

What experience should you have:

• 10-15 years of experience in strategist or consulting role.
• Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices.
• Ability to articulate complex ideas simply and credibly, and create executive-level presentations.
• AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense).
• Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption.
• Hands-on experience driving adoption of Generative AI solutions in the enterprise 
• Bonus Points: AI governance certification preferred

What you’ll be doing in this role:

• Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business.
• Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients
• Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios
  Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs.
• Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients.
• Focus, lead and mentor the teams to deliver measurable results.
• Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). 

What you'll need to accomplish in your first year:

• Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making.
• Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time.
• Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

Position Summary

We are seeking an accomplished Principal Software Engineer to shape the future of lab software platforms powering high-throughput, regulated laboratory operations. In this role, you will define technical direction across complex, distributed systems and lead the evolution of software applications that drive lab automation, efficiency, and operational excellence.

You will operate as a hands-on technical leader with deep ownership, from architecture and design through critical implementation to influencing lab operations processes, engineering standards, and long-term platform strategy. This role is ideal for a systems thinker who thrives in ambiguity, makes sound tradeoffs, and raises the technical bar for the entire organization.

Responsibilities

Technical Leadership & Architecture

• Own and evolve the architecture of large-scale, mission-critical systems supporting lab automation, workflow orchestration, and decision support.

• Define and enforce architectural patterns for modular, distributed systems, including modernizing legacy and off-the-shelf LIMS platforms to cloud-native architectures.

• Make high-impact technical decisions balancing scalability, reliability, security, cost, and regulatory constraints.

• Establish engineering best practices across performance, observability, testing, security, and operational readiness.

• Mentor senior engineers and managers through design reviews, technical guidance, and reusable frameworks.

• Drive adoption of Generative AI to improve developer productivity and software quality.

• Lead the application of AI/ML capabilities to improve lab throughput, TAT, automation reliability, and operator experience.

Software Engineering Execution

• Lead and contribute across the full software development lifecycle—from problem framing and architecture through implementation, deployment, and production support.

• Plan and execute complex migrations from legacy and off-the-shelf lab systems to the new strategic platform, including data migration, integration cutovers, validation strategy, and rollback planning, while minimizing downtime and operational risk in a regulated environment.

• Build and review robust backend services and modern frontend applications using Python, TypeScript, React, and Next.js.

• Stabilize and scale existing LIMS solutions while leading strategic modernization to a new technology stack.

• Design and operate systems on AWS with a focus on availability, fault tolerance, cost efficiency, and security.

• Advance CI/CD practices with infrastructure-as-code, automated testing, and production-grade observability.

Cross-functional Collaboration

• Partner closely with Product, UX, Scientists, and Lab Operations to translate complex workflows into scalable, intuitive systems.

• Lead technical discussions that influence product roadmaps and platform strategy.

• Foster a culture of engineering excellence, ownership, and continuous improvement across teams.

Qualifications

• 12-15+ years of experience in developing software applications.

• Proven experience with programming languages such as Python, Java, NextJS, and TypeScript.

• Solid understanding of relational databases and proficiency in SQL programming, with a preference for MySQL or PostgreSQL.

• Solid understanding of non-relational and graph databases.

• Proficiency in leveraging AWS services, including Lambda, RDS, DynamoDB, S3, and Glue.

• Proficiency in infrastructure as code (IaC).

• Proficiency in messaging frameworks such as Kafka.

• Strong quality assurance mindset with a commitment to delivering robust and reliable software.

• Excellent problem-solving skills and the ability to work both independently and collaboratively in a dynamic environment.

• Strong written and verbal communication skills, coupled with excellent interpersonal skills, enable effective interaction with stakeholders at all levels.

Nice to Have

• Experience building custom Laboratory Information Management Systems (LIMS) or Laboratory Execution Systems (LES).

• Experience with Lab Equipment and Lab Automation.

#LI-DNI

Are you passionate about building software solutions to solve real customer problems? Do you like fast-paced work environments? Are you passionate about modern programming languages, design patterns, and scalable architectures? You’ll be right at home here!

You will be joining the Enterprise Systems tech community, the vital architectural backbone where Realtor.com®'s most ambitious strategic initiatives transform into reality. Our team doesn't just manage software; we build the high-speed 'engine room' that powers the entire business lifecycle—integrating complex sales, billing, inventory, and fulfillment platforms into a seamless, high-scale ecosystem.

At Realtor, you will be part of a forward-thinking community dedicated to compressing the distance between business intent and execution. We research and deploy cutting-edge autonomous workflow engines to ensure our customers and internal partners have a best-in-class, friction-free experience. We strive to innovate by building self-healing infrastructures and AI-driven automation that make the transaction journey faster and more intelligent than ever before. Join us to push the boundaries of what’s possible, turning traditional systems of record into dynamic engines of growth, while learning from world-class talent in a culture that thrives on experimentation and impact.

As a Staff Full Stack Developer, you will be the bridge between complex enterprise data and high-performance user experiences. You will join the Enterprise Systems tech community to build the tools that empower our customers and partners to navigate the home-buying lifecycle with unprecedented speed. You aren't just writing code; you are designing the digital workflows that ensure our sales, order, and fulfillment engines run at peak efficiency.

We believe in leveraging the best tools to solve problems faster. You will be expected to utilize AI coding assistants and LLMs proficiently to accelerate development velocity, generate boilerplate, and troubleshoot complex debugging scenarios. Beyond simple usage, this role requires the critical judgment to verify AI-generated outputs for security, performance, and accuracy. You should be comfortable integrating AI tooling into your daily workflow to eliminate repetitive tasks, allowing you to focus on high-impact architectural and strategic engineering challenges.

Top Reasons to Apply:

• Lead a "Greenfield" Launch: You will be the founding engineer for our new Digital Storefront. This isn't about maintaining legacy code; it’s about architecting a high-performance "online store" from the ground up.
• High-Impact Technical Ownership: Serve as the strategic bridge between business intent and execution, designing the scalable micro-frontend architectures that power our most ambitious enterprise initiatives.
• AI-Accelerated Engineering: Maximize your impact by utilizing LLMs and AI coding assistants to automate repetitive tasks, allowing you to focus on high-level architectural and strategic challenges.
• Cutting-Edge Tech Ecosystem: Master a sophisticated stack featuring React/Next.js, Node.js, and AWS, while integrating real-time event-driven services and Generative AI directly into the user experience.
• Culture of Innovation & Speed: Join a world-class "engine room" environment that prioritizes experimentation, self-healing infrastructure, and the deployment of autonomous workflow engines.

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How we Reward you:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

ICON is looking for a Senior Software Engineer, AI/ML to join the BuildOS team. BuildOS is ICON's software platform for residential construction. Our team is applying modern machine learning to the space of architectural design and construction for the homes of the future. This role reports to the Senior Director of Software, and is based in Austin, TX
 
You will have the opportunity to work with some of the world's most talented architects and engineers. You will gain hands-on experience using the latest and greatest models to solve new problems. This role is a crucial part of defining how the next generation of housing will be built. This role will contribute to applied AI projects in the building compliance and regulatory space — using NLP and document reasoning to automate how architectural designs are evaluated against building codes. This work spans both commercial and government contexts and involves real-world deployment of multi-agent AI systems against complex, domain-specific rulesets.

RESPONSIBILITIES

• Design, build, and maintain production-grade AI systems and services
• Develop and integrate LLM-powered features using RAG, prompt engineering, and multi-agent frameworks to solve real-world problems in the construction domain.
• Build tools to radically decrease the cost and time needed to design beautiful homes.
• Build tools to let home buyers visualize, explore and choose their ideal home.
• Build digital design tools that take full advantage of 3D printing's capabilities.
• Explore the use of ongoing AI research for all of ICON's activities.
• Translate business problems into deployed production solutions in the AI space.
• Write clean, well-tested, well-documented code and actively participate in design and code reviews.
• Build NLP pipelines for document understanding, information extraction, and reasoning over regulatory content.
• Stay current with advancements in AI/ML and evaluate new tools and approaches for applicability to ICON's product areas.

MINIMUM QUALIFICATIONS

• 5+ years of software engineering experience, with 3+ years building and shipping AI/ML-powered products in production environments.
• Strong software engineering fundamentals — system design, data structures, algorithms, testing, and CI/CD.
• Familiarity with popular image and text deep learning architectures.
• Hands-on experience with LLMs and modern AI patterns including RAG, function calling, and multi-agent orchestration.
• Experience designing and operating scalable backend systems and APIs.
• Bachelor's degree in computer science, computer engineering, mathematics, or equivalent technical degree and industry experience.

PREFERRED SKILLS AND EXPERIENCE:

• Advanced degree in mathematics, data science, or AI/Machine Learning.
• Contributions or experience with generative neural networks (e.g. StyleGAN, GPT3, StableDiffusion, etc.)
• Experience with the full stack of training and deploying deep learning models.
• Experience with 3D printing and/or robotics.
• Background in art or architecture.
• Proficiency in Typescript and experience with relevant libraries (e.g. LangChain.js and the various provider SDKs (OpenAI, Anthropic, etc.))
• Proficiency in Python and experience with relevant frameworks (e.g., FastAPI, LangChain, LlamaIndex, PyTorch).

WHAT YOU WILL DO

onX is seeking a Senior Product Designer, AI Foundations, to help shape how AI is thoughtfully integrated into our product ecosystem. This role sits at the intersection of emerging technology, evolving user expectations, and real-world product constraints.

Our AI practice is actively developing, and we are experimenting, learning, and refining how AI should show up in our products. We are looking for a senior designer who is comfortable working in ambiguous spaces and can help define foundational interaction models, experience principles, and patterns that others can build on over time.

In this role, you will design and prototype AI-enabled experiences from early exploration through iteration, helping ensure that technical AI capabilities are aligned to meaningful customer problems. You will partner closely with Product Management, Engineering, and Research to explore, test, and refine AI-driven workflows that are useful, trustworthy, and grounded in real user needs.

This role is an individual contributor position within the UX Design & Research team. You may own one or more AI-focused initiatives while also influencing broader design direction through shared patterns, documentation, and storytelling. You will report to the Head of UX Design & Research and work closely with the AI Foundations team.

As an onX Senior Product Designer, your essential job duties and responsibilities will look like: 

• Lead design efforts in early-stage, AI-enabled problem spaces where best practices are still emerging. This includes shaping interaction models, defining appropriate experience boundaries, and translating complex AI-driven capabilities into intuitive, usable experiences for customers.
• Work in iterative cycles that prioritize learning and signal in early phases while also considering how design decisions contribute to durable UX foundations over time. This may include contributing to patterns, principles, and guidance that support broader AI adoption across the product organization.
• Apply systems thinking to anticipate downstream effects, edge cases, failure modes, and trust implications associated with AI-enabled features. In collaboration with Product and Engineering, you will help clarify trade-offs, constraints, and responsible uses of AI in customer-facing workflows.
• Conduct lightweight research as part of your design process, including interviews, usability testing, and synthesis, and partner with UX Research when deeper investigation is required.
• Help elevate AI fluency within the design organization. This includes demonstrating practical uses of AI tools in design workflows, articulating their strengths and limitations, and modeling thoughtful, responsible adoption.

WHAT YOU’LL BRING

• Six (6) or more years of experience designing complex digital products or systems, including experience working in ambiguous or 0–1 environments where direction was not fully defined.
• Hands-on experience designing AI-assisted, data-informed, or algorithmically driven experiences, and a working understanding of generative AI capabilities and limitations.
• Ability to explain not only how AI works at a surface level, but how its constraints shape interaction design decisions.
• Comfort in using AI tools to augment your own design workflow and can articulate where those tools are helpful and where human judgment remains critical.
• Strong interaction design and product thinking skills, ideally with experience in map-based or spatially complex experiences. 
• Ability to translate technically complex capabilities into clear, usable, and trustworthy interfaces.
• Comfort in making progress amid evolving constraints and imperfect information, with an ability to balance rapid experimentation with a thoughtful approach to long-term system design.
• Clear and pragmatic communication skills, with an ability to use storytelling and artifacts to align cross-functional partners.
• A willingness to share your thinking and help others develop stronger AI design literacy.
• A portfolio demonstrating relevant work is required.
• A shared passion for and ability to demonstrate onX’s Company Values
• Permanent US work authorization is a condition of employment with onX. 
• Must be available for travel to a corporate office in Montana bi-annually. 

ADDED BONUSES

Though not required, we would be thrilled to consider candidates with any of the following:

• Experience establishing UX patterns, principles, or frameworks that influenced how other teams design.
• A clear and practical perspective on what makes AI-powered experiences feel trustworthy, transparent, or poorly executed.
• Experience designing systems where user control, reliability, or real-world consequences were important considerations.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce community across several US locations. This position can be performed from an onX corporate office, “Basecamp,” or “Connection Hub”.

• Corporate Offices: onX was founded in Montana with offices in Missoula and Bozeman. If you prefer to work in an office at least part of the time, this is a great option.
• Basecamps: onX’s Basecamps are established virtual workforce communities where a sizable number of distributed team members group for work, volunteering, socializing, and adventure. 
  • Our current Basecamps are located within a 90-mile radius of the following: Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA. 
• Connection Hubs: onX’s Connection Hub locations are smaller, emerging communities of distributed team members.
  • Our current Connection Hubs are located within a 60-mile radius of the following: Boise, ID; Charleston, SC; Charlotte, NC; Dallas/Fort Worth, TX; Phoenix, AZ; Richmond, VA; Spokane, WA; and Vermont.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $139,000 to $174,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits including a no-monthly-cost medical plan 
• Parental leave plan of 5 or 13 weeks fully paid
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle in and outside of the gym
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Position open until filled. 

#LI-Remote

About the Team

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.

Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride’s autonomous vehicles and delivery robots.

About the Role

We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.

You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.

What You'll Do

• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.

What You'll Need

• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.

Nice to Have

• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.

POSITION SUMMARY

We are seeking a visionary Lead AI Architect to lead the design and implementation of next-generation AI solutions by bridging our Salesforce CRM ecosystem with AWS cloud infrastructure. In this strategic role, you will be responsible for architecting scalable Generative AI applications that enhance customer engagement, automate complex workflows, and unlock predictive insights.

You will serve as the technical authority on how Salesforce Data Cloud, Einstein Trust Layer, and Amazon Bedrock interact, ensuring our AI solutions are secure, scalable, and impactful. You will move beyond simple integrations to build robust "Bring Your Own Model" (BYOM) architectures.

PRIMARY RESPONSIBILITIES

AI Strategy & Architecture (40%)

• Define the end-to-end architecture for Generative AI solutions, integrating Salesforce Data Cloud with Amazon Bedrock and SageMaker.

• Design "Bring Your Own Model" (BYOM) patterns, allowing Salesforce to securely access Foundational Models (FMs) hosted on AWS (e.g., Claude, Titan, Llama 2) via Bedrock.

• Architect the data ingestion and grounding strategies (RAG - Retrieval Augmented Generation) to ensure AI models have access to real-time, unified customer profiles from Data Cloud.

• Establish the governance framework for AI, ensuring compliance with the Einstein Trust Layer regarding data privacy, zero-data retention policies, and PII masking.

Implementation & Development (30%)

• Lead the technical implementation of Model Builder and Prompt Builder within Salesforce, connecting them to external AWS endpoints.

• Configure Amazon Bedrock agents and knowledge bases to execute complex tasks and retrieve proprietary data for Salesforce users.

• Develop serverless middleware using AWS Lambda and API Gateway to facilitate low-latency communication between Salesforce Flow/Apex and AWS inference endpoints.

• Oversee the fine-tuning of models on AWS SageMaker when out-of-the-box Bedrock models require domain-specific adaptation.

Cross-Functional Collaboration (20%)

• Partner with Data Engineers to ensure Salesforce Data Cloud is correctly ingesting, harmonizing, and activating data streams from S3, Redshift, and other sources.

• Collaborate with Salesforce Administrators and Developers to embed AI outputs directly into the flow of work (Service Console, Sales Cloud LWC, etc.).

• Act as the subject matter expert for Product Managers, translating "AI buzzwords" into viable technical roadmaps and realistic deliverables.

Optimization & Innovation (10%)

• Monitor LLM performance, latency, and token costs; implement caching strategies and model selection logic to optimize spend.

• Stay ahead of the rapid evolution in the Salesforce/AWS partnership, evaluating new features like Zero Copy Data Sharing and Vector Databases.

QUALIFICATIONS

Required Technical Skills:

• AWS AI/ML Stack: Deep expertise in Amazon Bedrock is mandatory. Experience configuring Bedrock Knowledge Bases, Agents, and Guardrails. Proficiency with AWS Lambda, API Gateway, and IAM for secure cross-cloud access.

• Salesforce AI Stack: Strong working knowledge of Salesforce Data Cloud, Einstein 1 Platform, and the setup of Model Builder/Prompt Builder.

• Architecture: Experience designing RAG (Retrieval Augmented Generation) architectures and Vector Database integrations (e.g., OpenSearch Serverless or Pinecone).

• Integration: Expert-level knowledge of REST/gRPC APIs, OAuth flows, and named credentials for secure Salesforce-to-AWS connectivity.

• Programming: Proficiency in Python (for AWS Lambda/Boto3) and familiarity with Apex (for Salesforce triggers/callouts).

Experience:

• 8+ years of experience in Enterprise Architecture, Cloud Engineering, or Data Science.

• 3+ years specifically focused on AI/ML solutioning or Data Engineering.

• Proven track record of deploying at least one Generative AI solution into production (not just POCs).

• Experience implementing "Zero Copy" architecture between Salesforce and Data Warehouses (Snowflake/Redshift) is a major plus.

Certifications (Preferred):

• AWS Certified Solutions Architect (Professional)

• AWS Certified Machine Learning – Specialty

• Salesforce Data Cloud Consultant or AI Associate

KNOWLEDGE, SKILLS, AND ABILITIES

• LLM Fluency: Deep understanding of context windows, prompt engineering techniques (Chain of Thought, ReAct), and embeddings.

• Security First: A paranoia for security—understanding how to prevent prompt injection and ensure data residency compliance when data leaves Salesforce for AWS.

• Communication: The ability to explain to a generic C-suite executive why we need a Vector Database without losing their attention.

Navan Legal is expanding, and we’re on the hunt for an exceptional, driven, and collaborative Commercial Counsel or Senior Commercial Counsel to join our high-impact team.

This is more than just a legal role — it’s a chance to help shape the future of a category-defining company that is growing like crazy and bringing on the largest global customers in the world.  If you’re passionate about cutting-edge technology, energized by fast-paced environments, and ready to make your mark at a company that’s redefining travel and expense, we want to hear from you.

What You’ll Do:

• Draft and negotiate complex commercial contracts (sales and services agreements, data processing agreements, and ancillary documents) with enterprise customers
• Lead customer-facing legal negotiations in partnership with the Sales, Privacy, Finance and Product teams
• Develop and contribute to templates, forms, and playbooks to improve collaboration, and support enablement of the Sales team
• Provide legal advice and guidance on procurement contracts to internal stakeholders
• Take on additional matters as needed, including supply and channel partnerships, feature licensing, and inbound license agreements
• Work collaboratively and develop positive relationships with business stakeholders to strengthen the connection between our team and the business - under tight deadlines, and while managing multiple priorities.
• Contribute positively to the culture of the Navan Legal team and the company as a whole

What We’re Looking For:

• Qualified lawyer in your practice jurisdiction
• 5+ years of experience as a practicing attorney
• Significant experience negotiating complex commercial agreements with Fortune 500 companies, preferably at a SaaS or other technology company 
• Experience negotiating global commercial contracts, especially for customers in Australia
• Understanding of  GDPR, CCPA/CPRA, and other privacy laws relevant to SaaS strongly preferred
• Provide pragmatic, business-minded guidance on customer and contract-related issues.
• Familiarity with financial regulations and fintech contracting strongly preferred
• Excellent communication skills are absolutely essential; you should be comfortable, confident, friendly, and capable of explaining complicated issues at the right level of detail for the audience
• Strong understanding of software, cloud services and generative AI, associated business models, and technology industry trends.
• Commitment to client service, with high emotional intelligence and the ability to perform well under pressure

We are hiring a highly technical and business-savvy Senior GTM Engineer for our Revenue Analytics team. This crucial role connects AI, data architecture, and sales strategy. You will identify, architect, and deploy high-impact Generative AI and agentic solutions across our GTM tech stack. The ideal candidate is an expert in building interconnected data layers, driving AI adoption across Field Sales and RevOps, and translating complex business challenges into scalable, automated technical workflows that directly boost revenue.

What You’ll Do:

• Identify and define high-impact AI use cases, taking them from prototype to full deployment within our CRM and sales workflows.
• Architect an interconnected GTM data layer that bridges marketing, sales, and conversational intelligence tools, enabling AI agents to seamlessly query and connect context across our entire tech stack.
• Enable the Field Sales and RevOps teams by building internal AI champions, educating stakeholders, and aggressively pushing the adoption of new AI workflows.
• Stay ahead of AI trends and best practices, particularly in Generative AI, LLMs, and agentic systems, to bring cutting-edge strategies to the revenue team.
• Conduct rolling audits of our existing GTM tech stack to maximize the native AI features of the tools we already pay for.

What We’re Looking For:

• 4-6+ years of experience in GTM Engineering, Business Systems, Revenue Operations, Solutions Engineering, Data Engineering, or similar technical operational roles within B2B SaaS, AI/ML, or high-growth environments.
• Proficiency in Python, JavaScript, and SQL, with a strong track record of coding real API integrations, building lightweight automations, and manipulating complex data.
• Extensive experience architecting workflows and orchestrations using platforms such as Zapier, Make, n8n, Workato, Clay, or similar modern automation tools.
• Strong business acumen with a deep understanding of sales cycles, marketing funnels, post-sale delivery, and how data directly influences revenue outcomes.
• Proven track record of taking deep ownership of ambiguous problems and translating raw business requirements into scalable, automated technical solutions.
• Hands-on experience building and deploying AI-enabled workflows, copilots, or agents for business teams using tools like Claude Code or OpenAI agent builder.
• Strong analytical and problem-solving abilities coupled with a high attention to detail.

The Solutions Architect (SA) will serve as the technical subject matter expert (SME) and the machine learning design authority for the technical direction of the customer’s organization. This role acts as the liaison between the customer and engineering teams helping turn desires and needs into technical solutions – influencing roadmaps and driving innovation. In addition, this role includes supporting deal capture by providing solution architecture, strategy, and response development support.

Responsibilities:

• Provide web and in-person product overview and demonstrations of Avathon’s software products to potential customers and partners
• Coordinate with the sales/capture team to respond to RFPs and technical author for competitive deals
• Work as a dedicated partner to execute winning account strategies and to provide ample amount of support to the right projects
• Participate in client sales call planning, preparation and meetings
• Lead technical solution strategy throughout the capture and proposal lifecycle
• Collaborate with team members across organization to design and implement product growth.

Required Qualifications:

• 3+ years’ of proven experience with technical sales; Enterprise and/or Partner Sales
• 3+ years’ experience with AI/ML solutions
• BS/BA or higher-level degree in a relevant field
• Strong, hands-on technical background with a consultative approach
• Deep understanding and exposure to Federal Government customers and technology applications
• Outstanding presentation skills
• Travel Required
• Ability to obtain a US security clearance
• Must be a U.S. Citizen

Preferred Qualifications:

• Masters’ degree
• 5+ years’ experience with AI/ML solutions
• Secret Security Clearance

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Avathon Government is an Equal Opportunity Employer. Individuals seeking employment at Avathon Government are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you need assistance or an accommodation due to a disability, you may contact us at info@avathongov.com.

About the Role

Avathon is looking for an experienced and innovative AI Engineer to join our team to help create the next generation of artificial intelligence solutions that will help our customers make well-informed decisions and support critical missions. At Avathon, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.

Responsibilities:

• Develop and own the software layer responsible for delivering cutting edge AI products and solutions to defense and commercial customers
• Support delivery and maintenance of production level software through containers and orchestration tooling
• Work closely with data science, machine learning engineers, and devsecops to bring new AI/ML features into secure and reliable software products
• Operate in self-hosted, secure environments, handling sensitive information
• Function well in a highly autonomous environment and be comfortable bringing forward recommendations and technical solutions to the broader team

Required Qualifications:

• US Citizenship Required
• Fluency in at least one programming language, python preferred (we use C# and typescript as well)
• Experience with multiple data storage technologies, including relational, document, and graph databases
• Experience in AI Agent orchestration, tooling, and ecosystems
• Experience supporting or delivering software in a production environment
• Experience with Git best practices (we use GitLab)
• Experience creating and maintaining quality unit tests
• Experience with agile methodology and workflow
• Clear understanding of the benefits and tradeoffs of code generation tools and agents

Preferred Qualifications:

• 3+ years' experience supporting AL/ML software solutions
• 5+ years’ experience creating and supporting production level software
• Experience in small teams or startup environments with flexible responsibly
• Experience supporting multiple projects or technical solutions at the same time
• Comfortable operating in a self-hosted cloud environment (we use Azure)

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Avathon Government is looking for an experienced and motivated Capture Team Lead to join our team to lead key campaigns across the US Army. As the Capture Team Lead, you will be responsible for leading efforts to identify, capture, and win new business opportunities within the US Army portfolio. You will collaborate with internal teams and external partners to develop winning strategies and proposals, ensuring that our solutions meet the unique needs of each customer, and build trusted relationships with US Army stakeholders, program managers, acquisition officials and industry partners.

Responsibilities:

• Lead and manage the capture process throughout the sales lifecycle; from opportunity identification to contract award.
• Create win strategies to include customer engagement, use case solutions development, competitive assessments, shaping strategy, teaming strategy, pricing strategy, and bid/no-bid recommendations to senior management (based on a price to win and other competitive assessments)
• Manage proposal development efforts, including scheduling, content development, and reviews, ensuring timely and compliant submission.
• Build and maintain relationships with potential clients, government organizations and stakeholders, and industry partners to gain insights into their procurement strategies.
• Ensure effective communication between capture team, subject matter experts, and leadership to ensure alignment on goals and objectives.
• Track and report progress on capture efforts, providing regular updates to leadership.

Required Qualifications:

• US Citizenship Required.
• Bachelor’s degree and a minimum of 10+ years of prior relevant experience.
• Ability to Travel.
• Understanding of current US Army doctrine; tactics, techniques, and procedures; and sustainment and logistic planning and operations at all levels of war and the OIB.
• Understanding of capture management best practices.
• Experience managing and writing proposals.
• Excellent organizational skills and ability to meet deadlines.
• Excellent presentation and verbal communication skills.
• Experience leading capture efforts in support of Defense and Government Sales.
• Proven success in the execution of all phases of capture efforts, including deal strategy development, solution development, teaming strategy and development, proposals implementation and solution marketing.
• Extensive knowledge of Department of Defense (DoD) acquisition processes, including a deep understanding of the Defense Federal Acquisition Regulation Supplement (DFARS) and Federal Acquisition Regulation (FAR), as well as familiarity with a wide range of federal and defense-specific contracting vehicles, such as General Services Administration (GSA) Schedules, Multiple Award Contracts (MACs), Indefinite Delivery/Indefinite Quantity (IDIQ) contracts, Other Transaction Authorities (OTAs), and specific DoD vehicles like the SeaPort-e, and Defense Logistics Agency (DLA) contracts.
• Knowledge in navigating various DoD funding sources, including Program Objective Memorandum (POM), Congressional adds, Rapid Innovation Fund (RIF), and Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) programs, to secure funding for research, development, and procurement programs.

Preferred Qualifications:

• 5+ years of experience in capture management, business development or sales, preferably within the Government and Defense Industry.
• Previous Defense Prime Experience
• Ability to maintain effective internal and external business relationships with clients and industry partners.
• Secret Security Clearance
• Retired O-4 or above or E-8 or above.

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Avathon Government is an Equal Opportunity Employer. Individuals seeking employment at Avathon Government are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you need assistance or an accommodation due to a disability, you may contact us at info@avathongov.com.

Location: Remote; Austin, TX, Washington, DC (preferred)

Avathon Government is looking for an experienced and motivated Capture Team Lead to join our team to lead key campaigns across the US Navy and other maritime entities. As the Capture Team Lead for US Navy and other maritime entities, you will be responsible for leading efforts to identify, capture, and win new business opportunities. You will collaborate with internal teams and external partners to develop winning strategies and proposals, ensuring that our solutions meet the unique needs of each customer and build trusted relationships with Navy program offices, PEOs, and industry partners.

Responsibilities:

• Lead and manage the capture process throughout the sales lifecycle; from opportunity identification to contract award.
• Create win strategies to include customer engagement, solutions development, competitive assessments, shaping strategy, teaming strategy, pricing strategy, and bid/no-bid recommendations to senior management (based on a price to win and other competitive assessments)
• Manage proposal development efforts, including scheduling, content development, and reviews, ensuring timely and compliant submission.
• Build and maintain relationships with potential clients, government organizations, and industry partners to gain insights into their procurement strategies.
• Ensure effective communication between capture team, subject matter experts, and leadership to ensure alignment on goals and objectives.
• Track and report progress on capture efforts, providing regular updates to leadership.

Required Qualifications:

• US Citizenship Required
• Bachelor’s degree and a minimum of 10+ years of prior relevant experience.
• Ability to Travel.
• Understanding of capture management best practices.
• Experience managing and writing proposals.
• Excellent organizational skills and ability to meet deadlines.
• Excellent presentation and verbal communication skills.
• Experience leading capture efforts in support of Defense and Government Sales.
• Proven success in the execution of all phases of capture efforts, including deal strategy development, solution development, teaming strategy and development, proposals implementation and solution marketing.
• Extensive knowledge of Department of Defense (DoD) acquisition processes, including a deep understanding of the Defense Federal Acquisition Regulation Supplement (DFARS) and Federal Acquisition Regulation (FAR), as well as familiarity with a wide range of federal and defense-specific contracting vehicles, such as General Services Administration (GSA) Schedules, Multiple Award Contracts (MACs), Indefinite Delivery/Indefinite Quantity (IDIQ) contracts, Other Transaction Authorities (OTAs), and specific DoD vehicles like the SeaPort-e, and Defense Logistics Agency (DLA) contracts.
• Knowledge in navigating various DoD funding sources, including Program Objective Memorandum (POM), Congressional adds, Rapid Innovation Fund (RIF), and Small Business Innovation Research (SBIR)/Small Business Technology Transfer (STTR) programs, to secure funding for research, development, and procurement programs.

Preferred Qualifications:

• 5+ years of experience in capture management, business development or sales, preferably within the Government and Defense Industry.
• Previous Defense Prime Experience
• Ability to maintain effective internal and external business relationships with clients and industry partners.
• Secret Security Clearance

Clearance: 

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Avathon Government is an Equal Opportunity Employer. Individuals seeking employment at Avathon Government are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. If you need assistance or an accommodation due to a disability, you may contact us at info@avathongov.com.

Location: Remote; Austin, TX, Washington, DC (preferred)

The AI Transformation Director, Workforce Strategy is responsible for architecting and executing the roadmap that transitions our organization into an AI-augmented enterprise. You will help lead the "Human Operating System" evolution—redefining how we work, what skills we value, and how we organize talent to maximize the synergy between human intelligence and Artificial Intelligence.

What You'll Do:

• Partner with the Chief People Officer and other leaders to develop and provide vision for the workforce AI transformation. 
• Monitor global AI trends and labor market shifts to ensure the company remains a competitive "Employer of Choice" in the AI era.
• Act as the primary architect of the AI Change Management strategy, in alignment with the company’s cultural ambitions.
• Help design and implement new, fluid organizational structures that move away from rigid job titles toward a skills-based talent ecosystem.
• Collaborate with the broader HR Team to redesign enterprise-wide people processes and programs for an AI-augmented workforce.
• Define AI workforce implications related to workforce structure, talent acquisition, learning & development, performance management, and culture/engagement
• Establish a "Continuous Learning" culture, leveraging AI-driven platforms to deliver hyper-personalized training at scale.
• Help establish policies for the ethical and lawful use of Generative AI in the workplace.
• Develop transparent communication frameworks, partnership with the Corporate Communications Team.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What You Bring:

• 12+ years of experience in Human Resources, Workforce Strategy, or Management Consulting.
• Proven track record of leading large-scale organizational transformation or digital restructuring projects.
• Deep familiarity with the AI landscape (GenAI, LLMs, Machine Learning) from a strategic—rather than purely technical—perspective.
• Strategic foresight and the ability to anticipate how technology will change job functions 2–3 years in advance.
• Proficiency in people analytics and data-driven decision-making.
• Exceptional project management and communication skills 
• Bachelor’s degree or equivalent experience

How we Reward you:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Role: Senior Production Technology Director

Location: Austin, TX

About the role: 

Working in true collaboration with our tech team, we are looking for a Senior Production Technology Director to help audit our current processes and develop a production technology toolset that is robust, scalable, and increasingly powered by AI and advanced automation. You will be working with the, internal clients Implementation, IT & Services, and Sales to develop new workflows as a core part of our service offering. The purpose of this role is to manage overall daily production support across the group, oversee the specification and build of AI-powered tools and solutions, and consistently improve current workflows to enhance cost and production efficiency, quality, and service levels. You will guide and manage a team of Developers and Technology Managers, setting technical direction, nurturing talent, and ensuring the team operates together at a high standard across all production technology initiatives. This includes overseeing the team's adoption and proficient use of AI-assisted coding and scripting tools (such as GitHub Copilot, ChatGPT, Claude, and other LLM-based development assistants) to accelerate development cycles, improve code quality, and reduce manual effort in building and maintaining production solutions. 

You will be required to support the Technology Director in the management of key new account implementations from a technical and operational point of view, working with them to create comprehensive projects to deliver production automation and company-wide solutions. This includes identifying, specifying, and building overseeing bespoke AI-powered tools — from adaptive workflow automation and predictive production scheduling to AI-enabled quality assurance and content adaptation — cooperating with internal stakeholders to ensure plans are delivered on time and on budget. With a track record in complex projects, you will help ensure the smooth transition of the plan and manage ongoing needs. The primary focus for this role will be to implement and consistently improve the daily operational effectiveness of accounts. Tightening up processes, streamlining workflows, embedding AI and machine learning solutions where they can deliver measurable gains, and ensuring teams cooperate around best practices — making sure we are utilising the systems, resources, and partners we have to their fullest potential. 

The Senior Production Technology Director is responsible for ensuring that the agency has best-in-class processes, systems, and AI capabilities that maintain the highest standards in project and campaign delivery and meet the evolving demands of the client with the same level of commitment and passion as the client. Work with the Production Support Team to define and implement workflows on tools like Dalim ES/Twist and other automation tools, including AI-enabled automation platforms, and to promote use of automation and AI across the group. Working with the Global Technology and Innovation Director, PMO office, and OMG team to evaluate, architect, and implement AI-powered automation software across our network of agencies and hubs globally — including assessing emerging AI technologies, building proof-of-concept solutions, and scaling successful implementations across the business.

What you will be doing: 

• Guide, manage, and develop a team of Developers and Technology Managers, setting clear goals, conducting code reviews, and fostering a culture of innovation, collaboration, and continuous improvement 
• Spec, design, and oversee the build of AI-powered production tools and platforms — from requirements gathering and solution architecture through to development, testing, and deployment 
• Encourage and promote the use of AI-assisted coding and scripting tools across the development team (e.g., GitHub Copilot, LLM-based code generation, automated testing frameworks, AI-enabled debugging) to accelerate delivery, improve code quality, and reduce repetitive manual development tasks 
• Evaluate emerging AI/ML technologies (including generative AI, computer vision, NLP, and smart automation) for application within production workflows, recommending and implementing solutions that deliver tangible efficiency and quality gains 
• Build and maintain AI-powered automation pipelines for content production, asset management, quality control, and workflow orchestration 
• Accountable for delivery of assigned projects to time, scope, and quality 
• Advise and connect with stakeholders internally and externally, developing warm, trusting working relationships with various teams across the business and with key client contacts 
• Ensure project plans are signed off and have met quality standards and guidelines before deployment 
• Ensure projects are accurately recorded within agreed tools 
• Ensure all tools are deployed following consistent agency standards, e.g., our internal tool OMG 
• Map and deploy agreed process changes, including AI-augmented workflows and adaptive routing and prioritisation systems 
• Ensure key documentation is created and training is provided to new team members, including AI tool onboarding and upskilling programmes for the wider production team 
• Provide input into ongoing process improvements and changes to ensure the team is continuously improving, leveraging data insights and AI to inform and shape direction 
• Establish best practices and governance frameworks for responsible AI use, including data privacy, ethical AI standards, and quality assurance for AI-generated outputs 
• A desire to be in the detail — systems, processes, profitability, utilisation, production, and delivery 
• Experience in fast-paced agencies. This business manages scale and speed across the USA and Canada 
• Trusting, dependable relationships built through honest, consistent delivery 

What you need to be great in this role: 

• 10+ years of technical services experience in a complex production environment — not a traditional agency — across Print, Digital, Social, and Motion technologies 
• Demonstrated experience managing and nurturing teams of Developers and Technology Managers, with a track record of attracting, retaining, and growing technical talent 
• A solid understanding of AI and machine learning technologies, including practical experience specifying, building, or implementing AI-powered tools and solutions within a production or creative technology environment 
• Hands-on experience with AI-assisted development workflows — comfortable using and promoting tools like GitHub Copilot, ChatGPT/Claude for code generation, scripting automation, prompt engineering, and AI-enabled QA/testing 
• Experience with AI/ML frameworks, APIs, and platforms (e.g., OpenAI, Azure AI, AWS AI/ML services, Google Cloud AI, or similar) and an understanding of how to integrate these into production systems 
• Familiarity with scripting and programming languages commonly used in production automation (e.g., Python, JavaScript, Shell scripting) with the ability to leverage AI tools to accelerate coding, troubleshooting, and solution development 
• Experience in building and deploying complex production technologies 
• Experience in implementation of large-scale projects and ideally change management processes 
• Ability to manage multiple projects in a fast-paced environment 
• Excellent planning and organisational skills 
• Ability to work under pressure to meet deadlines 
• Effective interpersonal and collaborative judgement skills 
• Excellent attention to detail and accuracy skills 
• Capable and forward-thinking — able to manage their work and always meet commitments 
• A thoughtful, methodical thinker with common sense 
• Ability to question constructively and explore ideas openly (both their own and others') 
• Ability to see the bigger picture 
• Technical competence and understanding of creative process / working within a creative environment 
• Clear, effective communication skills both internally and externally with clients 
• Past experience in managing external partner relationships 
• A genuine passion for AI innovation and a curious, considerate mindset — constantly exploring how new technologies can transform production workflows and deliver meaningful advantage 
• At the time of this posting, the base salary for this position may range from  $123,250.00 to $137,750.00. Individual compensation varies based on job related factors, including location, business needs, level of responsibility, experience, and qualifications. The range listed is just one component of OLIVER’s total compensation package. 

Req ID: 16511

#LI-FD1 #LI-director 

Overview:

Are you a proven education professional with a track record of exceeding performance metrics and a passion for transforming how people learn? Nerdy is seeking experienced Educational Sales Representatives who combine educational expertise with consultative sales skills to help thousands of families achieve their academic goals.

As an Educational Sales Representative, you'll leverage your educational background to guide prospective students and families toward personalized learning solutions. This is a SALES position that requires a consultative approach when selling to clients. Success in this role comes from:

• Conducting meaningful needs assessment conversations with families
• Applying your education/teaching/training experience to recommend personalized learning solutions for each prospective client/student.
• Building trust through consultative conversations
• Demonstrating subject matter expertise in educational products and services

Location: Fully Remote Position

Upcoming Start Dates/Training: 

• Paid Training Schedule (Virtual | 6 weeks total):
  • For the May 11th cohort, training for all 6 weeks will be Monday through Friday from 8:00 AM to 5:00 PM Central Time (with a 1-hour unpaid lunch taken at the same time each day).
• Post-Training Schedule:
  After successful completion of training, your permanent schedule will be one of the options below (Central Time). Exact assignment will be reviewed during the interview process.
  • Sun, Mon, Fri, Sat | 7:00 AM–6:00 PM CT (with lunch & regular breaks)
    Sun, Mon, Tue, Wed, Sat | 11:00 AM–8:00 PM CT (with lunch & regular breaks)
    Sun, Mon, Thu, Fri, Sat | Split shift: 8:00 AM–12:00 PM + 4:00 PM – 8:00 PM CT
    Sun, Mon, Tue, Fri, Sat | Split shift: 8:00 AM–12:00 PM + 4:00 PM – 8:00 PM CT

Availability Requirement: You must be able to work all training hours and the permanent split-shift schedule after training.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. 

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.
• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.
• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.
• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.
• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.
• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.
• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Bachelor's degree preferred
• 3+ years teaching, training, or educational sales experience strongly preferred
• Demonstrated success in metrics-driven environments
• Ability to work a FULL-TIME schedule, including evenings and weekends
• Strong technical aptitude and ability to learn new systems quickly
• Stable, distraction-free remote work environment
• Reliable high-speed internet connection
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes 

Our most successful Educational Sales Representatives typically bring:

• Educational experience and expertise (particularly from teaching and working directly with students and parents)
• Proven track record of exceeding metrics and performance goals
• Career progression showing increased responsibility and leadership
• Experience in needs assessment and solution-based selling
• Commitment to continuous learning and professional development

Career Growth & Development:

This role offers clear pathways for advancement based on performance:

• Structured promotion track from Educational Sales Representative to Senior Sales Representative
• Merit-based advancement opportunities into training, management, and other business areas
• Comprehensive paid training program focusing on educational consulting and sales excellence
• Mentorship and leadership development opportunities

Unlock Your Full Potential at Nerdy:

At Nerdy, we’re not just transforming how people learn—we’re transforming your life. Our benefits package is built with a forward-thinking, “focus on you” mindset, so you can be your healthiest, happiest, and yes, most super-human self. Here’s a snapshot of what we offer:

• Competitive Compensation: $41,600 ($20/hour) base salary plus $12,000 annual variable compensation target (after training). Also, performance-based advancement opportunities with increased earning potential.
• Comprehensive Healthcare: Choose from top-tier medical, dental, vision, and life insurance plans designed to keep you and your family covered.
• Retirement Made Simple: Benefit from our 401(k) plan with an immediate company match—no vesting delays!
• Family First: Generous maternity, paternity, and adoption leave ensure you have the support you need at life’s big moments.
• Equipment: Company-provided MacBook and headphones, as well as the latest technology and software programs to help make you successful.
• Continuous Learning: Get an all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.

Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

Overview:

Are you a high-performing sales professional with a proven track record of crushing quota and a passion for helping people unlock their potential? Nerdy is seeking experienced Sales Representatives who combine consultative selling expertise with competitive drive to help thousands of families invest in their academic success.

As a Sales Representative, you’ll own the full sales cycle—from initial outreach through close—guiding prospective students and families toward personalized learning solutions. This is a SALES position that demands a consultative approach and relentless execution. Success in this role comes from:

• Conducting high-volume, high-quality discovery calls with prospective families
• Applying consultative selling techniques to uncover needs and recommend tailored learning solutions
• Building trust and urgency through value-driven conversations
• Consistently meeting and exceeding daily, weekly, and monthly sales targets

Location: Fully Remote Position

Upcoming Start Dates/Training: 

• Paid Training Schedule (Virtual | 6 weeks total):
• Weeks 1–3: Monday–Friday 8:00 AM–5:00 PM CT
• Weeks 4–6: Monday–Friday 8:00 AM–12:00 PM + 4:00 PM–8:00 PM CT (split shift with a mid-day break)
• Post-Training Schedule: After successful completion of training, your permanent schedule will remain on a split shift (8:00 AM–12:00 PM + 4:00 PM–8:00 PM CT). Exact days will be reviewed during the interview process. 

Availability Requirement: You must be able to work all training hours and the permanent split-shift schedule after training.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. 

We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.
• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.
• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.
• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.
• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and how you achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.
• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.
• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Bachelor’s degree preferred.
• 3+ years of sales, business development, or account management experience strongly preferred.
• Demonstrated success in quota-carrying roles with a track record of meeting or exceeding targets.
• Experience in consultative, solution-based, or needs-based selling environments
• Ability to work a FULL-TIME schedule, including evenings and weekends
• Strong technical aptitude and ability to learn new systems and CRM tools quickly
• Stable, distraction-free remote work environment with reliable high-speed internet

Our Most Successful Sales Representatives Typically Bring

• Proven history of exceeding sales quotas and revenue targets in B2C or high-volume sales environments.
• Experience in phone-based or inside sales with strong conversion metrics.
• Career progression showing increased responsibility, larger books of business, or leadership roles.
• Expertise in needs assessment, objection handling, and closing techniques.
• Background in industries such as edtech, SaaS, insurance, financial services, real estate, home services, or other consultative B2C sales.
• Comfort with CRM platforms, pipeline management, and data-driven performance tracking.
• Commitment to continuous learning and professional development.

Career Growth & Development:

This role offers clear pathways for advancement based on performance:

• Structured promotion track from Sales Representative to Senior Sales Representative and other career progression opportunities (training, management, operations).
• Merit-based advancement opportunities into training, management, and other business areas.
• Comprehensive paid training program focusing on educational consulting and sales excellence.
• Mentorship and leadership development opportunities.

Unlock Your Full Potential at Nerdy:

At Nerdy, we’re not just transforming how people learn—we’re transforming your life. Our benefits package is built with a forward-thinking, “focus on you” mindset, so you can be your healthiest, happiest, and yes, most super-human self. Here’s a snapshot of what we offer:

• Competitive Compensation: $41,600 ($20/hour) base salary plus $12,000 annual variable compensation target (after training). Also, performance-based advancement opportunities with increased earning potential.
• Comprehensive Healthcare: Choose from top-tier medical, dental, vision, and life insurance plans designed to keep you and your family covered.
• Retirement Made Simple: Benefit from our 401(k) plan with an immediate company match—no vesting delays!
• Family First: Generous maternity, paternity, and adoption leave ensure you have the support you need at life’s big moments.
• Equipment: Company-provided MacBook and headphones, as well as the latest technology and software programs to help make you successful.
• Continuous Learning: Get an all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.
• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

About the Role

Realtor.com is looking for a Director of Engineering, Consumer Enablement to lead the platform and enablement organization that powers all consumer-facing web and mobile experiences. This is a high-impact engineering leadership role responsible for three core pillars: Web & Mobile Platforms, Consumer Services, and Quality Enablement — the foundational systems and tooling that every consumer product team at Realtor.com builds on.

You will lead a multi-team org of ~40 engineers (FTE + contractors), managing senior engineering managers and staff engineers across web platform, mobile platform, component systems, backend services, and quality engineering. You'll report to the VP of Consumer Engineering.

This role is equal parts technical depth and organizational influence. You're not shipping features — you're building the paved path that lets dozens of engineers ship faster, safer, and with higher quality.

What You'll Do

Platform Strategy & Execution

• Own the technical roadmap for web and mobile platform infrastructure, including the MFE architecture (web-islands), CI/CD pipelines, React Router 7 migration (Project Oracle), and headless CMS platform
• Drive the next evolution of Realtor.com's design system (rdc-ui V4: Panda CSS migration) and component ecosystem used across 41 codebases
• Lead the decomposition of legacy monolithic services (Hestia) and the transition to domain-owned GraphQL subgraphs via Pantheon federation

Engineering Enablement

• Define and deliver the "paved path" — standardized patterns, tooling, and guardrails that reduce cognitive load for 100+ consumer engineers
• Own DORA metrics for the org
• Partner with stream-aligned teams (Buyers & Sellers, Search, Personalization, New Homes, Rentals, Mobile squads) as an internal platform provider

Quality at Scale

• Evolve the quality enablement model — shifting quality left through automation, AI tooling, and developer-owned testing
• Oversee the testing pyramid: reducing E2E test reliance, scaling Playwright frameworks, and rolling out the AI Quality Toolkit

Cloud Cost & FinOps

• Own the engineering cost envelope for Consumer Enablement — AWS spend, CircleCI credits, and third-party tooling budgets
• Partner with FinOps and infrastructure teams to instrument cost attribution, identify rightsizing opportunities, and enforce cost-aware development practices across the paved path
• Establish unit cost baselines for key platform operations (e.g., cost-per-deploy, cost-per-test-run) and drive measurable efficiency improvements quarter over quarter

People & Organization

• Lead and develop 3 senior engineering managers and multiple staff engineers across 7 sub-teams
• Create clear career frameworks and growth paths that retain top engineers and set expectations at every level
• Build inclusive team cultures with high psychological safety — where engineers do their best work, managers are effective coaches, and feedback flows in all directions
• Drive hiring rigor: define role profiles, calibrate leveling, and make high-quality talent decisions in partnership with recruiting
• Manage headcount planning, contractor-to-FTE ratios, and capacity allocation across competing priorities in a lean org

AI Strategy & Developer Enablement

• Partner with engineering managers to embed AI practices into daily workflows — code review, documentation, incident response, sprint planning
• Represent the Consumer Engineering perspective in AI investment decisions: what to build internally, what to buy, and what to deprecate

What We're Looking For

Required

• 10+ years of software engineering experience with at least 5 years leading engineering teams, including managing managers
• Bachelor’s degree or equivalent experience
• Demonstrated experience owning platform, infrastructure, or developer tooling organizations — not just product delivery teams
• Deep understanding of modern frontend architecture: micro-frontends, component systems, React, TypeScript, CI/CD pipelines
• Experience with backend GraphQL/API services and federated architecture patterns
• Strong track record of improving engineering velocity and developer experience at scale (DORA metrics, lead time, deployment frequency)
• Excellent cross-functional communication and stakeholder management — able to influence without authority, represent platform value to product and business leaders, and navigate competing priorities across multiple stream-aligned teams

Preferred

• Experience with AI developer tooling strategy: evaluating, deploying, and driving adoption of AI-assisted development tools across an engineering organization
• Hands-on background with FinOps practices: cloud cost attribution, unit economics for platform operations, CI/CD spend optimization, and engineering budget ownership
• Experience with mobile platform engineering (iOS/Android release processes, CircleCI, React Native or native)
• Familiarity with Apollo Federation, GraphQL schema governance, and Pantheon-style API gateway patterns
• Background in quality engineering transformation — shifting from manual QA models to developer-owned quality
• Experience with headless CMS platforms and content-driven architecture
• Familiarity with AWS infrastructure (EKS, Lambda, DynamoDB, CloudFront, ArgoCD)

Tech Stack You'll Own

React · TypeScript · Node.js · GraphQL (Apollo Federation) · NestJS · Swift · Kotlin · AWS (EKS/Lambda/DynamoDB) · CircleCI · ArgoCD · Playwright · Panda CSS · styled-components · New Relic · Splunk

Why This Role

• Org-wide leverage: Everything consumer runs on what this team builds. Your decisions affect 100+ engineers daily
• Clear technical vision: Active initiatives with real momentum — Oracle, CMS, rdc-ui V4, Hestia decomposition — not greenfield ambiguity
• AI-forward culture: The org is actively building and deploying AI-powered tooling with 100% AI adoption as a company goal
• Senior team: You'll work alongside Staff and Sr. Staff engineers who are already deep domain experts
• Real ownership: Full responsibility over people, platform roadmap, and cost envelope — not a coordinator role

What You'll Do:

• Engineer End-to-End Solutions: Design and develop scalable, responsive web applications using React and Node.js/Python that simplify complex enterprise workflows.
• Architect Micro-Frontends: Implement modern frontend architectures that integrate seamlessly with our Salesforce ecosystem and internal microservices.
• Optimize Data Pipelines: Build and maintain high-throughput APIs and event-driven services (using Kafka or AWS EventBridge) that power real-time business dashboards.
• Embed Intelligence: Integrate Generative AI and machine learning models directly into the UI to provide predictive insights and automated task suggestions for our users.
• Champion Quality & DevOps: Drive the adoption of "Shift-Left" testing, CI/CD automation, and observability tools to ensure our enterprise tools are as resilient as our consumer-facing products.
• Collaborate & Mentor: Partner with Product Managers and UX Designers to translate business requirements into technical reality, while mentoring mid-level engineers through code reviews and pair programming.

What You'll Bring:

• Full Stack Mastery: 8+ years of professional experience building and scaling production-grade applications using modern frameworks like React/Next.js and Node.js, Go, Python or Java.
• System Design Fluency: Deep understanding of distributed systems, REST/GraphQL API design, and how to optimize for performance across the entire stack.
• Cloud-Native Mindset: Hands-on experience with AWS (Lambda, ECS, DynamoDB) and containerization (Docker, Kubernetes) in a CI/CD environment.
• Database Expertise: Proficiency with both relational databases (PostgreSQL/MySQL) and NoSQL solutions, including experience handling large-scale data migrations.
• Modern Web Expertise: Strong command of CSS-in-JS, TypeScript, and state management libraries (Redux/Zustand), with a focus on accessibility and performance.
• Agile Leadership: Proven ability to lead features from conception to deployment in an Agile/Scrum environment, making pragmatic trade-offs between speed and technical debt.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

How We Reward You:

Realtor.com is committed to investing in the health and well-being of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degree and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

We’re looking for an experienced and results-driven Sr. Digital Marketing Manager to join our Client Marketing team. This role is focused on driving demand generation, sales growth, and client engagement through our Pro app and dashboard, ecommerce online store, merchandising website, AIO/LLM content strategy and online chat platform.

As a Digital Marketing Manager, you’ll lead efforts to plan and implement data-driven marketing strategies across these key platforms. You’ll collaborate with cross-functional teams, including creative services, platform developers, enterprise systems, product, sales, and customer service, to optimize user experiences and deliver measurable business results.

What You'll Do:

• Strategic Planning & Execution: Develop and implement comprehensive digital marketing strategies to drive demand generation and sales for the ecommerce online store, merchandising website, and online chat platform. Focus on improving customer acquisition, retention, and conversion across these platforms.
• Cross-functional Collaboration: Mobilize and lead cross-functional teams including design, content, data analytics, engineering, and sales to ensure successful execution of marketing initiatives and optimization efforts. Maintain clear communication channels and align teams around shared goals.
• Testing, Iteration & Optimization: Lead continuous A/B testing and other experimentation to optimize customer engagement, sales, and marketing efforts across platforms. Analyze key performance metrics, iterating on strategies to improve results over time.
• Innovation & Growth Initiatives: Proactively identify new opportunities to innovate in digital marketing. Demonstrate a bias for action to test new tactics, tools, and technologies to stay ahead of industry trends.
• Demand Generation & Customer Engagement: Plan and execute campaigns aimed at generating demand, building brand awareness, and increasing sales. Develop personalized, targeted campaigns to engage agents, brokers, lenders, and other real estate professionals.
• Performance Reporting & Analytics: Provide regular updates on the performance of marketing initiatives. Analyze data and leverage insights to drive future strategies and ensure alignment with business objectives.
• AI Utilization: Leverage AI tools to enhance online platform performance, streamline workflows, and accelerate campaign execution. Use generative AI to support content development, personalization, and merchandising optimization across ecommerce, website, and chat platforms, as appropriate. Apply AI-driven analytics to surface insights, predict customer behavior, and recommend next-best actions to improve engagement and conversions. Continuously evaluate emerging AI technologies and recommend adoption of tools that strengthen Realtor.com® ’s competitive advantage in digital marketing.

How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

What You Bring:

• Bachelor's degree or equivalent experience
• 8+ years of experience in digital marketing, ecommerce marketing, or related fields with a proven track record of driving growth and engagement.
• Experience engaging with cross-functional teams and collaborating with multiple stakeholders to implement strategies.
• Strong background in online merchandising, ecommerce platforms, and digital sales strategies.:
• Expertise in demand generation and online conversion strategies.
• Strong analytical and data-driven mindset, with the ability to interpret performance metrics and adjust strategies accordingly.
• Proficiency in marketing automation tools, CRM systems, and analytics platforms (e.g., WordPress, Knotch, Optimizely, Tableau, Amplitude, Google Analytics, Salesforce, or similar).
• Deep understanding of ecommerce best practices, website merchandising, and online customer experience optimization.

Who You Are:

• Highly innovative, with a bias for action and the ability to execute quickly while adapting to change.
• Strong problem-solving skills, with the ability to think strategically while remaining focused on tactical execution.
• Excellent communication and leadership skills with the ability to inspire cross-functional teams.
• Self-motivated, detail-oriented, and able to handle multiple projects simultaneously in a fast-paced environment.
• Excited about joining and in-office team with a bias for collaboration

Bonus points:

• Previous experience in real estate, SaaS, or a similar high-growth tech company.
• Familiarity with online chat platforms and customer engagement tools.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

• Inclusive and Competitive medical, Rx, dental, and vision coverage
• Family forming benefits
• 13 Paid Holidays
• Flexible Time Off
• 8 hours of paid Volunteer Time off
• Immediate eligibility into Company 401(k) plan with 3.5% company match
• Tuition Reimbursement program for degreed and non-degreed programs
• 1:1 personalized Financial Planning Sessions
• Student Debt Retirement Savings Match program
• Free snacks and refreshments in each office location

Details:    

• Paid, full-time summer internship  
• The internship period is June 8, 2026 - August 14, 2026 
• Must be based in Austin, TX, or willing to relocate for the duration of the internship period  
• Will be required to work in person from the office located in the Domain  

Responsibilities:  

• Assist in developing and refining energy price forecasting models by leveraging generative AI tools such as TimeGPT;
• Collaborate with team members to research and implement innovative AI-driven approaches that streamline workflows and improve decision-making processes within the energy storage sector. 

Key Qualifications:    

• Currently pursuing a Bachelor's Degree in a related field or industry equivalent and/or working towards a graduate degree (MA) is desirable;
• A strong interest in the renewable energy sector and a passion for decarbonization initiatives;
• Strong interest in Artificial Intelligence.

Avathon is looking for an experienced and innovative Data Engineer to join our team to help create the next generation of artificial intelligence solutions that will help our customers make well-informed decisions and support critical missions. At Avathon, you will immerse yourself in cutting-edge research and work with the latest technologies to deliver value in the Industrial IoT and Defense spaces.

Responsibilities:

• Establish and execute best practices for data pipelines, supporting multiple products and aligning with several technology stacks
• Validate and prepare real or synthetic datasets to support analysis and modeling efforts
• Work closely with software engineers and data scientists to deliver cutting edge AI products and solutions to defense and commercial customers
• Operate in self-hosted, secure environments, handling sensitive information

Required Qualifications:

• US Citizenship Required
• Fluency in Python and coding best practices
• Experience with multiple data storage technologies, including relational, document, and graph databases
• Experience supporting or delivering software in a production environment
• Experience contributing to a CI/CD pipeline and following Git practices (we use GitLab)
• Self-driven and comfortable seeking out problems to solve, recommending technologies and solutions and proactively engaging with peers to provide support and drive value
• Experience with agile methodology and workflow

Preferred Qualifications:

• 3+ years' experience supporting AI/ML software solutions
• Hands-on experience with Elasticsearch & Postgres
• Hands-on experience with graph databases
• Knowledge of data pipeline frameworks like Apache Airflow, PySpark, Prefect, etc.
• Comfortable operating in a self-managed cloud environment (we use Azure)

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.