About the Role

As VP of Forward Engineering you will lead Avathon’s global organization of forward deployed AI engineers, solutions architects, and technical delivery leaders responsible for deploying AI into complex industrial environments at scale.

This role sits at the intersection of AI, distributed systems, and operational technology owning technical execution, customer outcomes, and field deployment strategy across Fortune 500 and strategic accounts. You will work directly with executive stakeholders to transform legacy operations into AI-native, continuously computing systems across supply chain, manufacturing, energy, aerospace, and critical infrastructure.

The ideal leader combines deep technical expertise, operational intensity, and executive presence, with the ability to scale high-performing deployment teams operating in mission-critical environments.

Responsibilities

• Build and lead Avathon’s global Forward Engineering organization across customer deployments, implementation strategy, and technical solution delivery
• Own successful deployment, building customer ontology, and productionization of AI applications across industrial operations, supply chain systems, energy infrastructure, and logistics networks
• Lead cross-functional execution between Product, Engineering, Applied Science, GTM, and Customer Success teams
• Partner directly with executive stakeholders and customer leadership teams to define transformation roadmaps and operational AI strategies
• Drive deployment methodologies that scale repeatable implementation frameworks while maintaining flexibility for highly complex enterprise environments
• Establish operational excellence metrics tied to deployment velocity, production reliability, customer adoption, and business impact
• Guide the design and implementation of AI-native operational systems leveraging machine learning, optimization, simulation, digital twins, and computational knowledge graphs
• Translate field learnings and customer feedback into platform evolution and product roadmap influence
• Build scalable hiring, onboarding, mentorship, and leadership development programs for Forward Engineering teams
• Operate as an executive escalation point for high-priority customer deployments and strategic accounts
• Partner with Sales and GTM leadership on technical strategy, executive presentations, solution architecture, and complex enterprise pursuits
• Drive technical and organizational standards for deploying secure, resilient, production-grade AI systems in mission-critical environments

What We’re Looking For

• 12+ years of experience in software engineering, AI/ML systems, enterprise architecture, customer engineering, or technical delivery leadership
• 5+ years leading large-scale customer-facing engineering or forward deployed engineering organizations
• Strong experience deploying AI/ML applications into production enterprise environments
• Deep understanding of distributed systems, cloud platforms, data infrastructure, and scalable AI architectures
• Experience operating in complex operational domains including manufacturing, energy, logistics, transportation, supply chain, industrial systems, or defense
• Proven ability to lead cross-functional organizations spanning engineering, product, deployment, and GTM functions
• Strong executive communication skills with experience engaging C-level customer stakeholders
• Experience scaling technical organizations in high-growth startup or enterprise SaaS environments
• Strong understanding of customer implementation lifecycle, enterprise architecture, and operational transformation programs
• Ability to operate with high ownership, urgency, and autonomy in rapidly evolving environments

Preferred Qualifications

• Experience with industrial AI, operational technology (OT), digital twins, optimization systems, or autonomous operations
• Background in Applied AI, Machine Learning, Data Platforms, or Generative AI systems
• Familiarity with cloud-native architectures across AWS, Azure, or GCP
• Experience supporting large-scale enterprise or government deployments
• Advanced degree in Computer Science, Engineering, AI/ML, Operations Research, or related technical discipline
• US Citizenship Required

Why Avathon

• Build AI systems that directly impact critical global infrastructure
• Operate at the forefront of Industrial AI and autonomous operations
• Join a fast-scaling company solving technically complex, real-world problems
• Work alongside world-class engineers, researchers, and operators
• Competitive compensation, equity, and executive growth opportunity
• Opportunity to define and scale an entirely new category of operational AI deployment

Benefits & Perks

What are the benefits and perks at Avathon? Below are some highlights we offer to our U.S. full-time employees -- we'd love to connect and share more!

• Evolving culture with the opportunity to drive new ideas and technology
• Stock Option Grants
• Medical Coverage and Parental Leave Plans
• 401k with Employer Match
• Monthly Technology Allowance
• Newly renovated office space located near Pleasanton, CA -- including fully stocked beverage and snack areas

Contract and temporary roles are not eligible for the above benefits.

Compensation

Pay Range: $240k - $300k base salary annually. Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.

Location: This role is not remote. Candidates must be based in the Bay Area, CA and are expected to report to our Avathon Pleasanton office 5 days a week.

Role

We are looking for a Senior Product Manager, AI / Data Classification to join our Data Protection team. This is a hybrid role based in San Jose, CA (3 days onsite). While local candidates are preferred, we are open to remote candidates based on the West Coast for exceptional applicants. 

We’re looking for a Product Manager to lead data classification capabilities within a Data Security platform. You’ll own the end-to-end product strategy for discovering and classifying sensitive data across cloud, on-prem data stores and SaaS applications, turning classification outcomes into actionable risk reduction for security, privacy, and compliance teams.

What You’ll Do (Role Expectations)

• Partner closely with a focused engineering, data science/ML, design, sales, and customer success to deliver accurate, scalable classification, clear policy outcomes, and measurable customer value
• Own the classification taxonomy, labeling standards, and policy model (custom categories, confidence thresholds, inheritance, overrides, exceptions)
• Drive accuracy improvements by managing precision/recall targets, sampling strategies, tuning workflows, and customer feedback loops
• Set requirements for scanning at enterprise scale (billions of objects, large tables), optimizing cost, latency, and coverage
• Define how the platform combines pattern-based detectors, NLP/ML, and LLM-assisted classification for structured and unstructured data

Who You Are (Success Profile)

• You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. You adapt to what’s needed, navigating seamlessly between high-level strategy and hands-on execution.
• You are a problem-solver. You seek out challenges because you are energized by finding solutions, knowing that solving the hard problems delivers the biggest impact.
• You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.
• You are customer-obsessed. You build deep empathy for the customer—both internal and external—and anchor your decisions in solving their real-world problems. You champion their needs from start to finish, knowing their success is our success.
• You operate with urgency. You understand that in a high-growth environment, speed and quality are not mutually exclusive. You have a relentless focus on execution and a bias for action, delivering high-impact results quickly to win for the customer and the team.

What We’re Looking for (Minimum Qualifications)

• Product Management experience, with meaningful ownership of data security/privacy products. Product management experience can be substituted with data science experience
• Demonstrated experience shipping products that use AI/ML and/or LLMs in production, with a strong understanding of data classification approaches across structured and unstructured data
• Expertise in evaluation and quality measurement for classification systems and building/maintaining golden datasets
• Ability to design human-in-the-loop workflows for high-stakes labels, covering review/approval, exception handling, and audit trails
• Experience driving cost/performance tradeoffs for AI at scale, including token/compute budgeting, model selection, and managing latency for large corporations

What Will Make You Stand Out (Preferred Qualifications)

• Strong technical collaboration skills with ML engineering and data science
• Familiarity with embedding-based similarity and semantic retrieval for classification and deduping (vector DBs, ANN indexing, chunking strategies)
• Prior work in DSPM/DLP/CASB/insider risk where false negatives have high blast radius and you have designed processes to manage that risk

#LI-KM9 #LI-hybrid

 Position Overview

We are seeking a Strategic Project Lead to own end-to-end delivery and growth for audio and multimodal AI initiatives. This is a client-facing, builder role at the forefront of AI — spanning audio, speech, language, and multimodal systems. The scope includes both commercial and technical ownership. You’ll identify opportunities for collaboration, define the structure and terms of each engagement, and ensure successful delivery across internal and external teams.

Success in this role requires the ability to navigate early-stage problem spaces, build trust with technical stakeholders, and consistently deliver outcomes in complex, evolving environments.

We are looking for a strategic thinker with strong Audio AI data annotation experience who can translate loosely defined technical objectives into executable programs and grow relationships by consistently delivering value in complex, evolving environments.

Primary Responsibilities

1. Delivery Ownership & Client Partnership

• Own P&L, delivery outcomes, and client satisfaction for audio and multimodal engagements
• Lead client conversations and solutioning, translating ambiguous needs into structured programs
• Build strong relationships with enterprise and frontier AI lab partners
• Identify and drive account expansion opportunities, shaping early-stage ideas into commercial engagements

2. Delivery Systems & Scalable Execution

• Design and run high-performance delivery systems across audio and multimodal workflows
• Define metrics and leading indicators to proactively manage quality, speed, and cost
• Build reusable playbooks and frameworks to accelerate program launches
• Scale and structure global delivery teams, ensuring clear ownership and fast decision-making

3. Cross-Functional Influence & Strategic Alignment

• Align product, engineering, and operations around client priorities
• Drive execution in ambiguous, fast-changing environments
• Feed client and delivery insights into internal roadmap and capability building

4. Technical & Domain Leadership (Audio / Multimodal)

• Own and evolve Turing’s audio and speech capability across ASR, TTS, conversational audio, and multimodal systems
• Build new audio offerings — including data generation, evaluation frameworks, alignment workflows, and emerging agentic/audio use cases
• Partner with ML/research teams to define benchmarks and evaluation methodologies
• Translate advances in LLMs, speech, and multimodal AI into scalable, client-ready solutions

Requirements

Core Experience

• Demonstrated experience in delivery management, program management, or technical operations — with exposure to AI/ML or data workflows
• Domain background and experience in audio/speech AI, ASR/TTS, NLP, or multimodal data annotation
• Familiarity with frontier AI lab workflows: model evaluation, RLHF, alignment, benchmarking. Knowledge of the latest multimodal AI technologies and how they can improve annotation pipelines

Problem Solving & Ownership

• Strong first-principles problem-solving ability; comfortable operating with ambiguity
• Proven ability to own and scale complex programs end-to-end
• High ownership mindset with bias for action

Communication & Execution

• Strong communication skills; able to engage technical and business stakeholders
• Ability to make trade-offs across quality, speed, and cost
• Strong analytical skills with experience using data to drive decisions

Other

• Comfortable working across global teams and time zones
• Location : Based out of US
• Salary: $200k - $250k 

What you’ll do

Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:

• Define and lead product strategy: Develop the product vision, strategy, and roadmap for energy, charging, and connected services. You will drive product development from zero-to-one, bringing to life a world-class product experience and ensuring alignment with overarching business goals. You will own the full development stack, from ideation through development, translating business needs into actionable work items. Given Scout's nascency, you should be extremely comfortable navigating ambiguity in early-stage startups to formulate concrete, actionable plans.
• Build for humans: Act as a customer advocate, crafting experiences that enhance the vehicle ownership experience and differentiate Scout in the marketplace. Be disagreeable and don't accept anything less than a class-defining experience for customers. Be ridiculously collaborative: Partner with cross-functional teams, including our Charging team, vehicle user experience (VUX) team, R&D, software engineering, and third party service providers, to design and deliver innovative digital products that help customers manage their vehicle, charge, and pay for services. Be ready to drive alignment with many competing stakeholders.
• Manage (a lot of) relationships: Act as a trusted advisor to internal and external partners, presenting solutions that align with broader business goals. Be a natural relationship builder and clear communicator.
• Operationalize products: Oversee the roll-out of technical solutions to the marketplace, ensuring performance, reliability and consumer adoption achieve agreed upon outcomes.
• Drive technical excellence: Build relationships with software engineering to ensure scalable, efficient, and secure delivery. Leverage expertise in system architecture, APIs, and data integration to support technical decisions.
• Measure success: Define KPIs and success metrics to track product and platform performance, using data to refine and improve over time

Location & Travel Expectations:

• This role will be based out of the Scout Motors location in Fremont, California. 
• This role requires 4-5 days per week in the office, with regular in-person meetings and events. 
• Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.

What you’ll bring 

We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You’ll be comfortable with change and flexible in a fast-paced, high-growth environment. You’ll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: 

Experience

• 8+ years of product management experience, with a strong emphasis on consumer facing digital products.
• Demonstrated success in building and launching complex digital experiences enjoyed by millions —or billions — of people around the world.
• Zero-to-one experience, especially as it relates to consumer mobile products
• A clear sense of what good software looks like.
• Automotive and/or IoT experience is a plus, but not required

Technical Expertise

• Strong understanding of system architecture, APIs, and cloud technologies.
• Strong understanding of native app development (iOS and Android), with demonstrated, real-world experience shipping products to consumers
• Conversant in the language of software, including pros/cons of native vs. cross-platform development

Skills

• Exceptional communication and collaboration skills to influence and align diverse stakeholders.
• Data-driven decision-making abilities and experience with tools for analytics and performance measurement.

Education

• Bachelor's degree in computer science, engineering, or a related field, though demonstrated experience in building real-world product development is far more critical.

What you'll gain

The benefits of joining Scout include the chance to build products and a company from the ground up.  This is a chance to create something new and lasting – with an iconic brand at its foundation.  In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights:

• Competitive insurance including:
  • Medical, dental, vision and income protection plans
• 401(k) program with:
  • An employer match and immediate vesting
• Generous Paid Time Off including:
  • 20 days planned PTO, as accrued
  • 40 hours of unplanned PTO and 14 company or floating holidays, annually
  • Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders
  • Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave

Pay Transparency

This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent.

Initial Base Salary Range: $140,000.00 - $170,000.00

Initial California Base Salary Range: $154,000 - $187,000

Internal Leveling Code: IC8

 Who We Are

2K is headquartered in Novato, California and is a wholly owned label of Take-Two Interactive Software, Inc. (NASDAQ: TTWO). Founded in 2005, 2K Games is a global video game company, publishing titles developed by some of the most influential game development studios in the world. Our studios responsible for developing 2K’s portfolio of world-class games across multiple platforms, include Visual Concepts, Firaxis, Hangar 13, CatDaddy, Cloud Chamber, 31st Union, HB Studios, and 2K SportsLab. Our portfolio of titles is expanding due to our global strategic plan, building and acquiring exciting studios whose content continues to inspire all of us! 2K publishes titles in today’s most popular gaming genres, including sports, shooters, action, role-playing, strategy, casual, and family entertainment.

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers, are the professional publishing stewards of 2K’s portfolio currently includes several AAA, sports and entertainment brands, including global powerhouse NBA®️ 2K,  renowned BioShock®️, Borderlands®️, Mafia, Sid Meier’s Civilization®️ and XCOM®️ brands; popular WWE®️ 2K and WWE®️ SuperCard franchises, TopSpin 2K25, as well as the critically and commercially acclaimed PGA TOUR®️ 2K.

At 2K, we pride ourselves on creating an inclusive work environment, which means encouraging our teams to Come as You Are and do your best work! We encourage ALL applicants to explore our global positions, even if they don’t meet every requirement for the role.  If you're interested in the job and think you have what it takes to work at 2K, we encourage you to apply!

 What You Will Do

 2K Games is building a world-class data ecosystem to power real-time analytics, machine learning, and game intelligence across all our franchises. We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to enable enhanced player experiences.

This role requires a blend of strategic development, product management expertise, and technical understanding of data science and machine learning (ML) methodologies. The ideal candidate will seamlessly integrate data-driven strategies with player-centric goals, ensuring AI and analytics improve game design, live operations, and business intelligence.

Strategic Vision & Product Leadership

• Develop and implement the product strategy for 2K’s central data science platform, partnering with Data Scientists across our gaming business units to drive predictive analytics, player personalization, and real-time decision-making;
• Collaborate with the Director of Product, 2K Data to align the data engineering roadmap with customer objectives and player-centric outcomes;
• Define and prioritize a high-impact data science roadmap to lead a team of central data scientists in driving a variety of use cases such as player retention modeling, dynamic content generation, and real-time fraud detection. 

Data Science Platform Development

• Lead the development of reusable and extensible machine learning models, feature engineering pipelines, and ML-driven insights using tools like Databricks, MLflow, and SageMaker;
• Ensure data science initiatives integrate seamlessly with the real-time data infrastructure, supporting streaming analytics, AI-powered LiveOps, and dynamic matchmaking systems;
• Establish and maintain self-service tools that enable game teams to experiment with and deploy AI models independently;
• Support the build and enhancement of the central ML feature store;
• Monitor and optimize model performance in production environments, using MLOps standard methodologies;
• Implement governance frameworks to ensure AI models adhere responsibly to data privacy, security, and compliance standards (e.g., CCPA, GDPR). 

Cross-Functional Collaboration

• Work closely with data scientists across game studios and business units to understand their data science needs and to provide data-driven solutions at the pace they need them;
• Act as a strategic liaison between data scientists and product teams, ensuring model outputs are actionable, reliable, and aligned with business goals;
• Promote a culture of experimentation and rapid iteration, supporting game studios with A/B testing frameworks, predictive analytics, and personalization engines.
• Find opportunities to enhance game design and player engagement through advanced analytics and machine learning.

 What You Need

• 7+ years of experience in product management with a focus on data science, analytics, or ML-driven products
• 5+ years of experience in gaming, technology, or entertainment industries;
• Strong understanding of data science methodologies, such as predictive modeling, natural language processing, and computer vision;
• Experience with data science tools and platforms, such as Python, SQL, Databricks,TensorFlow, and R;
• Customer-focused mentality with focus on the Why and What without getting lost in the What and the How;
• Consistent track record of delivering data science products and features from ideation to production, with measurable business impact;
• Ability to translate complex data insights into clear product strategies and business opportunities;
• Knowledge of real-time analytics platforms, streaming data processing, and feature store management;
• Familiarity with data governance frameworks, model risk management, and MLOps standard processes preferred;
• Advanced degree or equivalent experience in Data Science, Machine Learning, Computer Science, or a related field preferred.

The pay range for this position in California at the start of employment is expected to be between $109,800 and $162,480 per Year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to participate in our 401(K) plan and Employee Stock Purchase Program. Regular, full-time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company’s discretionary time off program; up to 10 paid sick days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through Maven; commuter benefits; and reimbursements for fitness-related expenses.

As an equal opportunity employer, we are committed to ensuring that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform their essential job functions, and to receive other benefits and privileges of employment. Please contact us if you need reasonable accommodation.

Please note that 2K Games and its studios never uses instant messaging apps or personal email accounts to contact prospective employees or conduct interviews and when emailing, only use 2K.com accounts. 

#LI-Onsite

We are seeking a Senior Product Manager to join the Tekion Service Product Team in Pleasanton. In this role, you will drive the application of AI/ML across the entire value chain of the Service Department – from Scheduling to Invoicing – for dealership users who repair vehicles. You will own high-visibility, critical capabilities that reduce manual steps and review time, empowering BDC Agents, Technicians, and Service Advisors to focus on their core expertise.

You will work closely with ML/AI Engineers, Design, Data, GTM, and Customer Success teams to define strategy, drive execution, and deliver measurable business impact. This role is ideal for an AI-first product leader who thrives in complex technical domains, brings strong customer empathy, and can translate cutting-edge AI/ML capabilities into practical dealer workflows in a fast-paced SaaS environment. Our team, known internally as the JiraHunters, values precision, attention to detail, and a relentless focus on solving complex problems. You will also extend the benefits of Service innovations to external vendor tools via Automotive Partner Cloud (APC).

Key Responsibilities

Own Product Strategy & Outcomes
• Own the end-to-end product lifecycle for AI/ML-powered Service capabilities across Scheduling, Repair Order Management, Parts Operations, Technician Workflows, and Invoicing
• Define and evolve the product strategy and roadmap for Service workflows, aligned with company goals, dealer needs, and AI/ML innovation

Drive AI/ML Product Innovation
• Partner with ML/AI Engineers to identify, prioritize, and productize AI/ML use cases that deliver tangible value across the Service value chain
• Translate technical AI/ML capabilities into intuitive, workflow-embedded features for BDC Agents, Service Advisors, Technicians, and Parts Counterpersons

Drive Business Impact
• Drive adoption, efficiency gains, and customer satisfaction for Service AI/ML products, with clear accountability for usage, time savings, and workflow improvements
• Partner with GTM and Customer Success teams to ensure features translate into measurable dealer value and operational excellence

Extend Value via APC Integration
• Drive integration and value extension to external vendor tools through Automotive Partner Cloud (APC), enabling seamless ecosystem connectivity
• Collaborate with Partner Engineering teams to ensure Service innovations benefit the broader automotive ecosystem

Customer-Centric Product Development
• Act as the voice of the customer, deeply understanding dealership service workflows, technician pain points, scheduling challenges, and parts operations
• Continuously gather and synthesize customer feedback, usage data, and field insights to inform product decisions and AI/ML model refinement

Data-Driven Decision Making
• Define success metrics and KPIs for AI/ML product areas, including accuracy, adoption, time savings, and workflow efficiency
• Use data to prioritize investments, evaluate model performance, and guide post-launch iteration

Cross-Functional Leadership
• Lead complex AI/ML initiatives across Engineering (ML/AI Engineers), Design, Data Science, Marketing, Customer Success, and Partner Engineering
• Align stakeholders across product verticals to ensure roadmap coherence, platform consistency, and responsible AI deployment

Platform & Scale Thinking
• Design AI/ML solutions that scale across dealership sizes, service volumes, and regional requirements
• Balance innovation with reliability, ensuring solutions are explainable, configurable, and sustainable

Execution with Velocity
• Enable teams to move fast without breaking things – clarifying priorities, managing dependencies, and making informed trade-offs to hit both short-term goals and long-term AI/ML bets

Requirements
• 7+ years of Product Management experience owning customer-facing SaaS products
• 2+ years of hands-on AI/ML product management experience (building ML-powered features, working with data scientists/ML engineers, understanding model lifecycle)
• Strong system design and product architecture skills – ability to design scalable, extensible technical solutions
• Experience leading distributed onshore and offshore teams
• AI-first thought process and mindset – comfort with ambiguity, rapid learning, and translating technical AI/ML concepts into product value
• Strong business acumen with ability to operate in complex, multi-stakeholder environments
• Proven track record of driving product adoption and measurable business impact
• Excellent written and verbal communication
• Experience partnering closely with ML/AI Engineers, Design, Data Science, and GTM teams
• Strong prioritization skills and ability to align stakeholders across functions
• Hands-on product leader with strong judgment and bias for action
• End-to-end ownership of the product lifecycle, including post-launch iteration and model performance monitoring

Preferred Skills
• Experience in the automotive service/aftermarket industry or with dealer/OEM service workflows
• Understanding of automotive repair operations, diagnostic workflows, scheduling systems, or parts catalog systems
• Experience with LLMs, NLP, or recommendation systems
• Familiarity with responsible AI principles and model explainability
• Background in operations research, process optimization, or workflow automation
• Experience with platform integrations and API-driven ecosystems (Open AI and/or MCP experience a plus

Sponsorship
Please note that visa sponsorship is not available for this position.

Perks and Benefits
Competitive compensation and generous stock options  
100% employer-paid top-of-the-line medical, dental and vision coverage 
Great benefits including unlimited PTO, parental leave and free snacks and beverages 
The opportunity to work with some of the brightest minds from Silicon Valley’s most dominant and successful companies  
Be part of an early stage, hyper-growth start-up with the opportunity to grow and prosper   
Work on the latest and coolest technologies – everything is home-grown and built ground-up  
A dynamic work environment with a strong sense of community and collaboration  
The open and transparent culture that encourages innovation, rewards performance and discourages hierarchy  
Exciting opportunities for career growth and development  

Current Tekion Employees – Please apply via Greenhouse Internal Job Board

Role

Intrinsic provides an end-to-end robotics platform and Flowstate (www.intrinsic.ai/flowstate) as its primary interface. External users use Flowstate to create, deploy and maintain robotics solutions . Flowstate is primarily an authoring tool; creating or editing a Flowstate solution includes authoring digital workcells, robot processes, robot skills, and hardware configurations. Flowstate workflows are via a graphical web interface or via a programmatic interface (i.e. SDK). 

The Intrinsic R&D team is exploring the use of AI, and LLM Agents in particular, to generate and maintain robotics solutions from natural language, multi-modal conversational prompts. These novel workflows can significantly improve the accessibility of Flowstate. We believe that adding a conversational experience to the Intrinsic platform will lower barriers to entry to robotics and empower a much wider range of users, including those for whom automation is currently infeasible. 

How your work moves the mission forward

We see this role contributing in the following three areas, roughly ordered by increasing levels of technical difficulty, leadership, and scope.

• Conversational experience prototype: You will develop a web. application given initial mocks and backend services. This application will allow users to author a robot solution from multi-modal prompts. In the short term you will contribute towards an in-progress research prototype. In the long term you will drive the conversion of this prototype into a production-grade application.
• Conversational experience prototype: You will develop a web. application given initial mocks and backend services. This application will allow users to author a robot solution from multi-modal prompts. In the short term you will contribute towards an in-progress research prototype. In the long term you will drive the conversion of this prototype into a production-grade application.
• Bespoke frontends for robotics: We believe generative AI enables all users to rapidly generate individually customized web experiences. As a long-term research project, you will build a frontend that can be customized via conversational prompts and composed of pre-existing (and AI-generated) web components, all backed by the end-to-end Intrinsic platform.
• This is a hands-on role: your day-to-day work will involve planning and roadmapping a greenfield project while also spending the majority of your time designing, developing, and iterating on code. Your technical leadership and developer skills will be necessary to scope projects and to deliver them in phases. You will work closely with a sub-team within Intrinsic R&D, but will also frequently collaborate with other engineering, product, and UX groups within Intrinsic. 

Skills you will need to be successful

• 6+ years of experience launching and iterating on large web frontends.
• Proficiency with TypeScript and at least one popular framework/library (Angular, React, Lit, etc.).
• Leading large technical projects with multiple stakeholders, while making practical trade-offs and phased deliverables, and documenting best practices.
• Proficiency with browser-native technologies and infrastructure (e.g. web workers, safely hosting user data/code, client-side AI in Chrome).
• Experience using LLMs for structured content generation. 

Skills that will differentiate your candidacy

• Strong interest in improving the accessibility of robotics, especially for automated manufacturing.
• Past or current research experience (PhD in Computer Science or equivalent), especially in building innovative interfaces.
• Startup (or similar) experience --- building the 0 to 1 in a rapidly changing technical landscape. 

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions. This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders.

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

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

Who You Are

• You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
• You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life.
• You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon.
• Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions.
• Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements.

What We Need

• Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager).
• Your field insight will help shape our roadmap, our features, and the way we show up for developers.
• Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow.
• Experience with embedded systems, FPGA Architecture or AI accelerators. Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge.
• Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management.

What You Will Learn

• How to explore and push the boundaries of AI performance on custom silicon and help developers do the same.
• What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between.
• To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale.
• An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum.

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

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

Technology, Data and Intelligence(TDI) Team(aka Business Technology or IT)

The Technology, Data and Intelligence team is on a mission to accelerate Okta’s scale and growth. We bring world-class business acumen and technology expertise to every interaction. We also drive cross-functional collaboration and are focused on delivering measurable business outcomes.  

The Opportunity

The Architect, Finance and Legal Technologies will define and deliver the technology architecture strategy across Finance and Legal functions, enabling data-driven decision-making, automation, and operational excellence. This role will combine deep technical expertise with innovative thinking to modernize and optimize core enterprise systems — including NetSuite or Oracle (ERP), Conga, Anaplan, and Xactly. The successful candidate will leverage AI, machine learning (ML), NLP, and intelligent automation to reimagine traditional financial and legal processes/systems, enabling predictive insights, streamlined operations, and smarter compliance.

What you’ll be doing 

Enterprise Solution Architecture:

• Define the target-state architecture for Finance and Legal applications, ensuring alignment with enterprise strategy and growth objectives.
• Lead the design and implementation of end-to-end architectural solutions for Finance and Legal systems, ensuring integration, scalability, and performance across the enterprise.
• Develop and maintain a multi-year roadmap for modernization across ERP, FP&A, Legal, and Sales Compensation systems.
• Ensure systems are designed with identity-first security principles, integrating with Okta and other IAM solutions for authentication, authorization, and compliance.

AI and ML Solution Design:

• Architect and implement AI/ML-driven solutions to optimize finance and legal processes — such as predictive forecasting, anomaly detection, spend optimization, contract risk scoring, and intelligent reconciliation.
• Partner with Enterprise AI team to operationalize AI/ML Solution/ models within G&A functions, ensuring alignment with business outcomes.
• Have the working knowledge with any of the LLM like Gemini, OpenAI or Claude

System Integration and Data Strategy:

• Ensure seamless data flow across ERP (NetSuite/Oracle), Coupa, Scout, Anaplan, Conga, and Xactly systems using APIs and middleware (Boomi). Define unified data models to support analytics and AI consumption.

Innovation Leadership:

• Identify opportunities to embed generative AI, natural language processing (NLP), and large language model (LLM) capabilities into core Finance and Legal processes, including financial reporting, close management, reconciliation, contract lifecycle management, and legal document automation.
• Functional and Technical Design, and lead hands-on proof of concepts (POCs) and AI-driven automations to reduce manual efforts 
• Lead from the front piloting, prototyping and demoing the  innovative solutions and newer technologies such as AI and automation

Stakeholder Engagement and Cross-Functional Collaboration:

• Collaborate closely with Finance, Legal, IT, Data, Compliance, Security, and Engineering teams to translate business objectives into scalable, secure, and innovative technology solutions aligned with organizational goals

• Partner closely with Finance, Legal, Compliance, Security, and Engineering leaders to define technology roadmaps aligned with Okta business priorities.
• Translate complex SaaS financial and legal requirements (e.g., revenue recognition, contract risk management, GDPR) into technical solutions.
• Serve as a trusted advisor to leadership on Finance and Legal technology trends such as Subscription/usage-based billing, AI contract analytics, and compliance automation.
• Effectively influence executives and decision-makers on solution architecture, system strategy, and adoption of innovative technologies to drive operational excellence and transformation 

Implementation & Governance

• Support/Lead implementations/enhancement of ERP systems (Oracle, NetSuite, Coupa, Scout, Anaplan) and legal tools (Conga, DocuSign)
• Establish and champion governance frameworks for data privacy, SOX compliance, and access control across Finance and Legal systems.
• Support roll out of Data Governance across the organization by collaborating with the Data Governance, Businesses and the Data warehousing teams

What you’ll bring to the role

     Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or related field.
• TOGAF or similar Enterprise Architecture certification is a plus

Experience:

• 15+ years of software engineering experience, including significant time as an Architect or Principal in ERP Systems(Oracle/Netsuite/SAP), FP&A Systems(Anaplan) and/or CLM systems(Aptus/Conga/Ironclad)
• Excellent storytelling and communication skills—comfortable presenting to both technical and executive stakeholders
• Have multiple ERP (Oracle or Netsuite) full cycle implementation experience
• Deep understanding of the Finance business process areas – Order to Cash, Record to Report, Source to Pay, Plan to Report(FP&A), Treasury, Credit Collection, Revenue Recognition, and Subscription Billing, Contract Life Cycle Mgmt within Legal Ops
• Demonstrated hands-on experience architecting functional and technical solutions within major business applications, with specific expertise in NetSuite(or Oracle), Aptus/Conga(or IronClad), Anaplan, Coupa, Scout, Tax engines such as Avalara, Vertex or OneSource –  including understanding their data models and APIs in context of solution development and integrations
• Architected and delivered AI Agents using leading LLMs Gemini, OpenAI or Claude 
• Experience with managing a Software and/or Vendor selection keeping in view the end state architecture of the enterprise
• Proficient understanding of  middlewares such as MuleSoft, Workato, Boomi, or Informatica for connecting Finance, Legal, CRM, and data platforms.
• Familiar with code, configuration, and system performance standards/reviews to ensure quality, scalability, and compliance with enterprise standards.
• Proficiency with AWS, Azure, or GCP, with knowledge of data lakes/warehouses (Snowflake, Redshift, BigQuery) for SaaS revenue and compliance analytics.
• Identity & Security: knowledge of SSO, OAuth, SAML, SCIM, and Zero Trust principles, with hands-on integration experience in Okta or similar IAM platforms.
• Occasional travel to one of our office locations is expected for project and team collaboration meetings and for organization offsites.
• Passion for innovation, AI adoption, and continuous improvement aligned with Okta’s mission to build secure, intelligent, and connected business systems.

LI#-RA1
#LI-Hybrid

(P23943_3309986)

PsiQuantum’s mission is to build the first useful quantum computers—machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems. 

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries. 

Our architecture and approach is based on silicon photonics. By leveraging the advanced semiconductor manufacturing industry—including partners like GlobalFoundries—we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. 

In 2024, PsiQuantum announced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining—and that now is the time to scale. 

PsiQuantum also develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies—including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical—to prepare quantum solutions for real-world impact. 

Quantum computing is not an extension of classical computing. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. 

Come join us. 

Job Summary:

We are seeking an experienced and hands-on Director to lead the strategy, architecture, and operational excellence of compute platforms across cloud, on-premises, and high-performance computing (HPC) environments. This role owns the direction and evolution of infrastructure supporting modern workloads, including distributed systems, development infrastructure, observability, and the practical adoption of generative AI capabilities across the organization.

Reporting to the Chief Information & Security Officer, this individual will serve as the senior technical leader for compute and AI within IT. The ideal candidate brings deep cross-domain expertise, strong operational judgment, and a track record of building, scaling, and stabilizing complex systems.

This role combines strategic leadership with hands-on technical engagement and cross-functional influence, enabling both current operations and future capabilities.

Responsibilities:

• Define and drive the strategy and architecture for compute platforms spanning AWS, Azure, and on-prem/HPC environments, including GPU-accelerated systems.
• Lead the evaluation and adoption of generative AI tools, identifying high-impact opportunities across engineering, IT, and business workflows.
• Partner with stakeholders to pilot and scale practical generative AI use cases, focusing on productivity, automation, and workflow improvement.
• Oversee and improve core cloud and HPC capabilities, including development infrastructure, observability, and overall system reliability.
• Drive performance optimization, capacity planning, and operational excellence in collaboration with cross-functional stakeholders.
• Lead resolution of complex system issues, including root-cause analysis and long-term remediation.
• Establish and enforce infrastructure standards, best practices, and technical direction across teams.
• Provide technical leadership, mentorship, and guidance to engineers and technical leads; build and scale a high-performing team as needed.

Experience/Qualifications:

• 10+ years of experience designing, building, and operating complex infrastructure systems across cloud and/or on-prem environments.
• Strong experience with development infrastructure, including CI/CD systems, artifact management, and developer workflows.
• Deep experience with observability systems, including metrics, logging, tracing, and alerting.
• Experience evaluating and implementing generative AI tools (e.g., LLM-based systems, copilots, automation agents) in real-world environments.
• Strong understanding of the operational, security, and cost considerations of generative AI adoption in an enterprise setting.
• Deep systems-level expertise in Linux, networking, storage, and distributed systems.
• Demonstrated ability to lead complex technical initiatives and drive outcomes across teams.
• Track record of building and leading high-performing teams in demanding environments.
• Strong communication and leadership skills, with the ability to influence both technical and executive stakeholders.

PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.

Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

By bringing together next-gen technology and the finest live data available, Genius Sports is enabling a new era of sports for fans worldwide, delivering experiences that are more immersive, interactive and personalized than ever before. Learn more at geniussports.com. 

About the Role  

We’re looking for a Senior Software Engineer on our Sports AI team to help build the next generation of real-time AI systems powering sports analysis and insights. 

These systems transform live sports broadcasts (incorporating signals from video, crowd noise, audio commentary, and text) into a structured understanding of game context and auto-generated insights. The outputs from these systems power a range of products including automated highlight clipping, augmented broadcasts, semi-automatic play-by-play collection, and natural-language insight generation. For example, these systems can detect a goal, attribute it to the correct player, and localize where it occurred on the pitch within seconds by combining crowd noise spikes, commentary signals, and video cues. 

This role sits at the intersection of streaming and distributed systems, AI, and product engineering. You’ll build and operate real-time pipelines that process noisy, asynchronous inputs under tight latency constraints. These systems combine traditional streaming and data processing techniques with modern multimodal AI models to produce reliable outputs in production. 

You’ll work on challenges like aligning signals across multiple sources, handling uncertainty and inconsistency in model outputs, and designing systems that degrade gracefully in real-world conditions. We are early in building these capabilities, so the role involves working through ambiguity, experimenting with different approaches, and building new systems from first principles where established patterns don’t yet exist. 

Key Responsibilities 

• Design, build, and operate real-time streaming systems that convert live sports broadcasts into structured events, attributes, and insights
• Ingest and synchronize signals from video, audio, commentary, and data feeds under real-world latency and reliability constraints
• Integrate modern AI models into production systems, including multi-step pipelines where model outputs are composed, validated, and refined
• Design and implement evaluation and observability frameworks to measure system quality, including offline benchmarks, real-time metrics, and regression testing
• Develop mechanisms for identifying and handling uncertainty in model outputs, such as confidence scoring, validation checks, and human-in-the-loop workflows where appropriate
• Own systems end-to-end from early prototypes through production, making key architectural decisions around scalability, reliability, and performance
• Collaborate closely with product and data partners to shape, prioritize, and ship high-impact systems
• Mentor engineers and help establish best practices for building and operating applied AI systems in production 

  
Qualifications   

• 5+ years of experience building production-grade software systems 
• Strong software engineering fundamentals including system design, testing, observability, and performance 
• Experience building streaming, data-intensive, and/or distributed systems with real-time constraints
• Proven ability to design scalable systems that are robust under real-world conditions, including handling partial failures, inconsistent data, and latency tradeoffs
• Ability to evaluate system quality beyond traditional metrics (e.g., ambiguous or probabilistic outputs)
• Product-minded: able to translate ambiguous problems into practical, high-impact solutions
• Strong, demonstrated interest in building AI-powered features or systems; keep up with latest generative AI progress and capabilities
• Comfortable working in fast-moving, iterative environments with evolving requirements 

  
Preferred Qualifications   

• Hands-on experience integrating LLMs and other ML/AI systems in production workflows via platforms like Vertex AI or AWS Bedrock
• Experience building or maintaining human-in-the-loop workflows
• Familiarity with streaming systems and tooling (e.g., Pulsar, Kafka, Flink, etc.)
• Experience working with audio/video streaming and processing systems, including familiarity with media delivery protocols (e.g., HLS, DASH, RTP), container formats, codecs, and tooling such as FFmpeg or GStreamer
• Background or strong interest in sports
• Experience with Rust 

The salary for this role is based on an annualized range of $160,000 - $230,000 USD. This role will also be eligible to take part in Genius Sports Group's benefits plan.

We enjoy an ‘office-first’ culture and maximize opportunities to collaborate, connect and learn together. Our hybrid working models differ depending on your role and location. Occasional travel may be required.

As well as a competitive salary and range of benefits, we’re committed to supporting employee wellbeing and helping you grow your skills, experience and career. Learn more about how rewarding life at Genius can be at Reward | Genius Sports. One team, being brave, driving change 

We strive to create an inclusive working environment, where everyone feels a sense of belonging and the ability to make a difference. Learn more about our values and culture at Culture | Genius Sports.

Let us know when you apply if you need any assistance during the recruiting process due to a disability.

As a Senior Technical Delivery Manager (TDM), you’ll guide client engagements from ideation to deployment for some of the world’s largest enterprises. You’ll be responsible for understanding client needs through data, conversations, and any other means necessary. You’ll work closely with Engineering, Design, and Sales.  You’ll face problems that require a mix of technical knowledge, creativity, critical thinking, and business acumen.

To strengthen our growing delivery team, we are looking for an experienced TDM who is passionate about transforming technology into critical business value. The TDM will partner with and work closely with engineering teams and the client to orchestrate the delivery of our flagship solution. This role will consider applicants from either the Washington DC Metro Area or San Francisco Bay area.

Role Responsibilities - How You Will Make An Impact:

• Orchestrate: Work with clients, the business, and engineers to set strategy and collect and prioritize requirements.  Manage requirements documentation, milestone mapping, prioritization, and communication to facilitate project collaboration.
• Execute: Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight our customers. Proactively identify assumptions, dependencies, issues, risks and drive discussions across the team to develop mitigation plans and implementation paths. Maintain compliance with IT and security policies and procedures.
• Strategize: Think widely about potential applications of machine learning and natural language processing techniques, translating capabilities built for individual clients into new features or customization options for our core products.

Relevant Skills and Experience:

• 5+ years of experience in a professional environment, ideally within a SaaS-based company
• Proven success managing large-scale enterprise data integration projects that are highly technical and cross-functional in nature
• Skilled in gathering and prioritizing requirements, leading scope discussions, and aligning on project priorities
  Comfortable working across internal functions (Engineering, Product, Security, Compliance, Customer Experience, etc.) and with external client stakeholders
• Strong technical understanding with the ability to contribute to system design conversations and drive enterprise data and architecture initiatives
• Experience working with DoD or public sector clients and understanding of relevant processes (e.g., FedStart, ATO)
• Must hold an active Top Secret (TS) security clearance; TS/SCI strongly preferred

Bonus Points:

• Familiarity with machine learning workflows and core data science concepts (e.g., classification vs. regression, feature engineering, model selection and tuning, deployment considerations)
• Understanding of ML algorithms, database structures, or data pipeline development
• Background in coding or working closely with engineering teams

The annual cash compensation range for this position is US$180,000 to US $220,000.  Final compensation will be determined based on experience and skills and may vary from the range.

Staff GenAI Research Scientist - Retrieval

P-1214

At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform, so our customers can focus on the high value challenges that are central to their own missions.

The Databricks AI Research organization enables companies to develop AI models and systems using their own data, with technologies ranging from pre-training LLMs from scratch to augmented generation using the latest retrieval techniques. Databricks AI does so by producing novel science and putting it into production. Databricks AI is committed to the belief that a company’s AI models are just as valuable as any other core IP, and that high-quality AI models should be available to all.

Job Description 

As a Staff Research Scientist on the Enterprise Agents team, you will be responsible for keeping up with the latest developments in Agent Context, Information Retrieval, Knowledge Assistants, RAG, Embeddings, and advancing the scientific frontier by creating new techniques that go beyond the state of the art. You will work together on a collaborative team of researchers and engineers with diverse backgrounds and technical training. And most importantly, you will love our customers: our goal is to make our customers successful in applying state-of-the-art LLMs and AI systems, and we encode our scientific expertise into our products to make that possible.

The Impact you will have

As a Staff Research Scientist on the AI Research Team at Databricks, You Will: 

• Define and lead independent research agendas on Information Retrieval for reusable Agent components, conducting experiments to empirically validate hypotheses and benchmark against state-of-the-art approaches.
• Drive research and technical strategy across enterprise retrieval and search, including workspace search, vector search.
• Drive algorithmic innovations for Retrieval within Large Language Models. 
• Experience with Agent Benchmarks for retrieval, text-embeddings and LLM Data Quality. 

What We Look for

• 5+ years of 
• PhD in Computer Science or related field with strong foundations in Natural Language Processing and Information Retrieval 
• Developing and implementing methods that extend and improve model capabilities, reliability, and safety. 
• Strong preference for candidates with first-author publications at top ML/systems conferences (EMNLP, ICLR, ACL, NeurIPs) focused on optimization or efficiency.

The Impact You’ll Be Contributing to Moloco:

• We're seeking a software engineer to help us design, develop and maintain the backend of our state of the art Moloco Commerce Media (MCM) product
• You will be responsible for developing an ML-based online advertising platform for the rapidly growing retail media industry
• You will play a pivotal role building and developing our enterprise-ready solution. We’ve determined clear market fit and are now seeking senior and staff engineers to refine the MCM product
• You will lead feature development, design, optimization, testing, and maintenance of software applications and solutions for internal and external end users
• You will mentor others on the team and have the opportunity to lead high-impact projects

The Opportunity:

• Design and ship agentic software that helps advertisers manage campaigns through natural language interfaces and intelligent automation
• Build customer-facing applications that combine LLM capabilities with robust backend systems—from conversational campaign creation to AI-assisted performance insights
• Own the full stack: React/TypeScript frontends, Go/Python/Java services, and the infrastructure that connects them
• Collaborate closely with PM, data science, and partner teams to shape product direction and turn ambiguous goals into shipped features
• Operate what you build: dashboards, alerts, runbooks, and a sustainable on-call rotation
• Mentor engineers through code reviews, pairing, and design discussions
• Prototype and explore what's next—advanced analytics, creative-level reporting, and AI capabilities we haven't imagined yet

How Do I Know if the Role is Right For Me?

• 5+ years of software engineering experience
• Full-stack development experience—you're comfortable across the frontend, backend, and the glue in between
• Hands-on experience building LLM-based applications (agents, tool use, prompt engineering, or similar)
• System design and development skills; from gathering requirements to design to implementation to production
• Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.)
• Programming fundamentals, testing, and common algorithms and structures
• Track record of shipping customer-facing products
• Growth mindset—you stay current on emerging technologies and enjoy sharing knowledge with others
• Excellent communication and collaboration skills

OVERVIEW

We are seeking a Senior Director to lead Data Analytics (Digital), Data Science, and Artificial Intelligence, as a unified strategic capability. This role sits at the intersection of business insight, advanced analytics, and applied AI. You will shape how data and intelligence drive decisions, experiences, and operational excellence across the company—especially in marketing and digital and customer engagement. 

This leader is both a strategist and a builder: setting vision, developing talent, and ensuring measurable impact, while staying close enough to the work to guide technical direction and architectural choices. 

RESPONSIBILITIES  

• Set the vision and roadmap for Data Science, AI, and Digital Analytics, aligned to business priorities and growth strategy. 

• Lead and scale high-performing teams across data science, applied AI/ML, experimentation, and digital analytics. 

• Drive advanced analytics and AI use cases including personalization, forecasting, optimization, experimentation, generative AI, and decision intelligence. 

• Own digital analytics strategy—ensuring accurate, trusted measurement across web, mobile, and emerging digital experiences, and translating signals into action. 

• Bridge insight to execution by partnering closely with product, marketing, engineering, operations, and executive leadership. 

• Evaluate and govern AI platforms and tooling, balancing build vs. buy decisions, cost, scalability, and long-term flexibility. 

• Establish responsible AI and data practices, including model governance, experimentation standards, and measurement of business impact. 

• Tell compelling data stories—turning complex analyses and models into clear narratives that drive confident decisions at the executive level. 

QUALIFICATIONS

• A seasoned leader with deep experience in data science and applied AI, and a strong grasp of modern analytics ecosystems. 

• Comfortable operating at multiple altitudes—from board-level strategy to hands-on technical guidance. 

• Experienced in product and digital analytics, experimentation frameworks, attribution, and customer behavior analysis. 

• Fluent in ML concepts and architectures (predictive models, NLP, recommendation systems, generative AI) and how they create real business value. 

• Adept at building teams, culture, and operating models that scale across functions and geographies. 

• Pragmatic, impact-driven, and allergic to vanity metrics.  

• 12+ years in analytics, data science, or AI, with significant leadership experience. 

• Strong foundation in statistics, machine learning, and experimentation. 

• Experience in retail, e-commerce, consumer products, or digital platforms. 

• Experience with cloud data and AI platforms (AWS, GCP, Azure) and modern analytics stacks. 
• Proven track record of driving measurable outcomes through data and AI initiatives. 
• Exposure to generative AI at scale and AI-enabled product development. 

• Prior ownership of company-wide analytics standards or AI governance. 

The base salary range for this position is $250,000-$320,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

OVERVIEW

Join ALO’s Artificial Intelligence and Data Science team to explore the frontiers of applied AI in wellness, fashion, and retail. You’ll build intelligent systems that power personalization, content generation, computer vision, and decision automation.

We’re looking for a hands-on AI Engineer who loves to build. You’ll design and deploy bespoke, high-impact AI solutions that stretch across product design, marketing, supply chain, customer experience, and engineering. Some projects will be fast-turnaround proofs of concept; others will grow into scalable internal platforms. You’ll balance the art of creative experimentation with the discipline of technical rigor—knowing when to build from scratch and when to leverage what already exists.

RESPONSIBILITIES

• Build bespoke AI solutions to accelerate business outcomes—anything from product image generation to conversational assistants or process automation.

• Prototype rapidly using APIs, open models, and cloud-native services to validate ideas and demonstrate value.

• Design for scale—transition ad hoc experiments into maintainable, production-grade systems or reusable components.

• Evaluate external AI platforms and tools for integration potential, cost, and business fit.

• Collaborate cross-functionally with marketing, design, supply chain, retail operations, and engineering teams to translate real problems into AI-enabled solutions.

• Implement responsible AI practices that ensure transparency, fairness, and explainability across applications.

• Mentor and coach peers in practical AI adoption and experimentation.

QUALIFICATIONS

• 10+ years of experience in a data or software engineering field.

• MS or PhD in Artificial Intelligence, Machine Learning, or Data Science.

• Equal parts builder, hacker, and architect—you can ship a working demo in a day but think in systems that can scale for years.

• Comfortable working without a map—you thrive in ambiguity and see constraints as creative opportunities.

• Skilled in Python, SQL, and cloud AI platforms (AWS, GCP, Azure) and fluent in modern AI frameworks (LangChain, Hugging Face, OpenAI, etc.).

• Strong grasp of ML fundamentals (classification, NLP, computer vision, embeddings) and practical data engineering.

• Experience in integrating AI into business workflows—e.g., automating content generation, demand forecasting, or intelligent search.

• Naturally curious about the intersection of human creativity and artificial intelligence, and driven by impact, not novelty.

• Experience in implementing / developing model evaluation frameworks.

Why ALO 

Join a team shaping the intersection of wellness, fashion, and technology. At ALO, data isn’t just numbers—it’s the heartbeat behind immersive experiences, purposeful products, and global community connection.

The base salary range for this position is $180,000-$235,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

The Technology, Data, and Intelligence Team 

Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.

The Staff Data Scientist Opportunity

We are looking for a Staff Product Data Scientist to join our Data & Insights team. This role will lead the strategy, development, and operationalization of advanced analytics and machine learning solutions that power data intelligence for Okta’s Product Management teams, uncovering actionable insights on customer behavior, product engagement, and opportunities that will drive our product growth strategy. You’ll define the long-term data science roadmap while partnering closely with Okta’s diverse Product Management teams and executive leadership.

What you’ll be doing 

• Strategic Product Influence: Collaborate closely with Product Managers and leadership to provide insights that will help drive product strategy and roadmaps, ensuring decisions are grounded in a data-driven approach.
• Advanced Analytics and Modeling: Build and deploy statistical and machine learning models (e.g., predicting churn, lifetime value, feature adoption) to forecast user behavior and product growth opportunities in order to help influence roadmap decisions.
• Deep-Dive Insight Generation: Conduct thorough exploratory analysis on extensive, complex datasets to uncover key drivers of user adoption and engagement, identifying unseen opportunities for significant product improvement.
• Data Ecosystem Partnership: Work with data engineering, analytics engineering, and data analysts to shape and enhance the foundational data infrastructure necessary for scalable ML and advanced analytics initiatives.
• Data Preparation and Curation: Develop and construct usable data sets by integrating and manipulating information from various disparate data sources as needed.
• Executive Communication and Influence: Translate intricate data insights into clear, compelling narratives for executives, product managers, and engineers, effectively influencing crucial business and product decisions.

What you’ll bring to the role

• 7+ years of experience in data science or ML, including 3–5 years in a senior, staff, or technical leadership role.
• Deep understanding of product analytics and data science frameworks, with a proven history of designing and analyzing product data to solve complex, ambiguous business problems and deliver measurable results.
• Demonstrated ability to apply cutting-edge AI tools to accelerate the discovery of deep, actionable insights from complex product data.
• Demonstrated ability to translate data insights into product impact and formulate strategic, data-driven recommendations.
• Deep expertise in machine learning algorithms (supervised, unsupervised, NLP, forecasting, optimization) and statistical modeling.
• Strong proficiency in Python, SQL, and leading ML libraries.
• Excellent communication skills and a proven ability to influence Product and executive partners.

And extra credit if you have experience in any of the following! 

• Experience in high-growth SaaS, cybersecurity, identity, or enterprise software environments.
• Prior ownership of ML platform/tooling decisions and evaluations.
• Experience enabling self-service analytics or citizen data science capabilities.

#LI-MC1

#LI-Hybrid

#P23809_3392886

About the team/role

We’re hiring an ML Engineer (P2) to build and ship the AI systems that power Checkr’s core products. This role sits on the ML team inside Checkr’s Data & ML organization within Engineering.

Checkr runs millions of background checks a year. The ML team builds the systems that make those checks faster, more accurate, and cheaper to operate: document processing, charge classification, entity resolution, and in-product intelligence. These are production services that Product Engineering depends on daily.

This is not a research role or a notebook role. You’ll own ML services end-to-end: design them, code them, deploy them, monitor them. We need someone who writes production software, builds with LLMs and APIs as first-class tools, and can tell the difference between working code and AI slop. If you’ve spent the last few years building AI-native software and you care deeply about engineering craft, we want to talk.

This role sits in the central Data & ML team within the Engineering organization. You will partner daily with Product Engineering, Product, and cross-functional teams. You’ll also contribute to Checkr’s broader AI strategy, including our initiative to deploy our agentic fleet and build scalable context with our semantic layer.

We are looking for someone based in San Francisco who has built ML systems in fast-moving, impact-first environments. Less process, more shipping. Less paperwork, more results.

What you’ll do

• Build and deploy ML/AI services. Design, develop, and ship ML models and AI systems that Product Engineering teams rely on. You write the model code, the API layer, the monitoring, and the tests. Not notebooks; production services.
• Design with LLMs and APIs. Use LLM APIs (OpenAI, Anthropic, etc.) as building blocks in production systems. You know when to call an LLM, when to fine-tune, when to use a classical model, and when to write a rule. You think about cost, latency, and quality together.
• Ship production software. Write clean, well-structured code with solid OOP, proper abstractions, error handling, and tests. Your code gets reviewed by SWEs and passes. CI/CD is how you work, not something you bolt on at the end.
• Partner with product and engineering. Translate business problems into ML solutions. Define API contracts with product engineers. Explain your approach clearly to non-ML partners and leave the room with alignment, not confusion.
• Evaluate and iterate fast. Build evaluation frameworks, run experiments, and make data-driven decisions about model and system performance. Ship and iterate; don’t wait for perfect.
• Ship AI-powered workflows. Put AI to work on your own processes: automate pipelines, build agentic workflows, and contribute reusable skills and context to Checkr’s agentic platform. The expectation is that our teams operate AI-first.

What you bring

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related technical field, or equivalent depth from experience
• 4+ years building software professionally, with at least 2 of those building ML systems that run in production
• Strong Python fluency; you write clean, testable, well-structured code with solid OOP instincts. Not scripts; software
• Hands-on experience using LLM APIs in production systems: prompt engineering, structured outputs, function calling, cost management, and evaluation
• You’ve built and maintained APIs, worked with CI/CD pipelines, and shipped code that other engineers depend on
• Comfortable with distributed systems concepts: queues, async processing, caching, horizontal scaling
• Experience with NLP tasks in production: classification, extraction, entity resolution, summarization
• Comfort with and enthusiasm for AI-assisted workflows; experience using LLMs, code-generation tools, or agentic systems in production or operational contexts is a strong signal
• You can evaluate tradeoffs: fine-tune vs. prompt, hosted vs. self-deployed, classical ML vs. LLM, rule vs. model
• Strong communication skills; you explain technical decisions clearly to engineers and non-engineers alike, without hiding behind jargon
• You use AI tools (Copilot, Claude, etc.) to move faster, but you understand every line they produce. You can spot AI slop and you don’t ship it
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Nice to have

• Experience with MLOps platforms (MLflow, SageMaker, Vertex, or similar)
• Background in document processing, OCR, or information extraction
• Experience with PySpark or large-scale data processing
• Ruby experience (Checkr’s platform runs on Rails)
• Familiarity with compliance-sensitive domains (fintech, legal tech, HR tech)
• Working knowledge of dbt, Snowflake, or modern ELT/data transformation tools

What you’ll get

• A fast-paced, low-bureaucracy environment where shipping matters more than process
• Direct exposure to executive and C-level decision-making
• A seat on the Data & ML team shaping Checkr’s AI strategy
• Learning and development allowance
• Competitive cash and equity compensation and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

Why You'll Love This Role

You will work closely with the founding team and a group of highly-skilled engineers to shape the future of AI-enabled Security/Observability platforms. You will play a central role in bringing integrating cutting-edge AI/ML technologies to the Cribl Product suite to help solve real customer problems.  You will work closely with development partners and key stakeholders to iteratively design, develop, and deliver products and surfaces that will delight our customers.

On top of it all you will have fun. Cribl strives to be a great place to work for everyone.

As An Active Member Of Our Team, You Will...

• Design, train, and evaluate machine learning models across a range of research and applied AI initiatives
• Run rapid, iterative experiments to test hypotheses and surface insights that drive model improvements
• Collaborate closely with researchers and engineers to translate cutting-edge academic advances into practical, production-ready systems
• Build and maintain robust ML pipelines for data ingestion, feature engineering, model training, and evaluation
• Optimize model performance through fine-tuning, hyperparameter search, and architecture experimentation
• Contribute to a culture of rigorous experimentation; tracking results, documenting findings, and sharing learnings with the broader team
• Stay current with the latest developments in ML and AI research, and proactively identify opportunities to apply them
• This position may require stand-by, on-call, or off-hours duties during critical research or deployment milestones

If You've Got It - We Want It

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field with 5+ years of industry or research experience (Master's or PhD a plus)
• Deep hands-on experience training and evaluating ML models, including language models
• Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow
• Familiarity with MLOps tooling and infrastructure (e.g., MLflow, Weights & Biases, Kubeflow, or similar)
• Solid understanding of modern NLP, computer vision, and/or reinforcement learning techniques
• Strong ability to move fast without sacrificing rigor; you know when to prototype and when to productionize
• Excellent communication skills with the ability to clearly present experimental results to both technical and non-technical stakeholders

Salary Range ($230,000 - $275,000)

The salary for this role is dependent on geographic location. The salary offered within the range described will be based on the individual candidate’s job-related knowledge, skills, and experience.  In addition to a competitive salary, Cribl also offers a generous benefits package which includes health, dental, vision, short-term disability, and life insurance, paid holidays and paid time off, a fertility treatment benefit, 401(k), equity, and eligibility for a discretionary company-wide bonus.

#LI-JB1
#LI-Remote

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary Salary Range: $40,000-47,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-49,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Shopmonkey's vision is to help every shop thrive by equipping them with the tools they need to run and grow their business. Our cloud based all-in-one shop management software takes owners and technicians from quote to cashing out a satisfied customer. Our software has a modern and intuitive UI and our backend is powered by the latest technologies so our clients can focus on the things they do best. As a Senior ML Engineer at Shopmonkey, you will be a part of a globally distributed engineering team working closely with your product and design counterparts. You will have the chance to work on the frontier of ML modeling, data pipelines, MLOps, and agentic AI systems to meet real-world auto shop needs. Shopmonkey has the structured data, workflows, and operational maturity to deliver ML powered systems that are not only intelligent but trusted and useful. You’ll move fast to bring ML systems from discovery all the way through production, helping to shape the future of the automotive care experience. For any Bay area based candidates, this would be hybrid with 2-3 days/week office at our Morgan Hill, CA office for collaboration. 

What you will do:

• Design, build, and ship production-ready ML models across a range of problem spaces: regression, classification, clustering, ranking, and recommendation systems.
• Conduct end-to-end development of ML systems: data gathering, experimentation, feature engineering, model training, evaluation, deployment, and monitoring.
• Define and track model performance metrics, run A/B tests, and iterate based on real-world feedback.
• Help design and implement shared feature stores so that reusable features can serve multiple models consistently in both batch and real-time contexts.
• Work within a modern MLOps environment to ensure scalable and reliable deployment of models.
• Contribute to training infrastructure, model versioning, and CI/CD pipelines for ML workflows.
• Work closely with data scientists and data engineers to develop data driven solutions that are high impact for businesses.
• Translate complex ML workflows into digestible updates for cross-functional stakeholders.
• Contribute to backlog velocity by owning appropriate tickets and delivering high-impact work in a collaborative, fast-paced environment.
• Implement NLP and LLM-powered components for sentiment analysis, real-time conversation evaluation, and behavior optimization.
• Contribute to analytics and predictive features such as no-show prediction and sentiment dashboards.
• Help build and ship AI agents that help automate key auto-shop business processes.

We are looking for people who have:

• Minimum of 5+ years of industry experience in applied machine learning; advanced degrees (Master’s or PhD) may offset years of experience.
• Proven experience shipping models into production (not just proof-of-concepts or notebooks).
• Proficiency in Python; experience with ML frameworks like PyTorch or Tensorflow.
• Strong foundations in classical ML/DL. Including some of the following: regression, classification, clustering, ranking, feature engineering, model evaluation, and experimentation.
• Bachelor’s degree in a STEM field, or equivalent practical experience.
• Strong collaboration and communication skills—comfortable working with PMs, designers, engineers and other cross functional team members.

Nice to have:

Candidates should have some experience in one or more of the following areas.

• Understanding of MLOps principles: model versioning, orchestration, evaluation, monitoring, model serving, and CI/CD for ML. 
• Understanding of MLOps, and experience with modern tooling like MLFlow, DVC, Airflow, etc.
• Experience with LLMs and NLP frameworks (e.g., TensorFlow, Hugging Face, LangChain).
• Experience with/interest in LLM workflows and agentic workflows
• Cloud infrastructure experience, (e.g. GCP, AWS).
• Familiarity with vector databases (e.g. Pinecone, pgvector) and embedding-based retrieval or similarity search.
• Strong SQL skills for working with large-scale data.
• Experience designing or contributing to feature stores (e.g. Feast, VertexAI Feature Store, Tecton) for shared, reusable feature pipelines.

Bonus Points:

• Prior experience working at a high growth startup.
• Experience building consumer-facing agents in vertical SaaS, in the automotive industry (business or consumers).
• Background in data processing or real-time analytics.
• Experience with Snowflake or other large-scale data warehouse solutions.

In the United States, the range is typically a salary of $165,000 to $200,000 + bonus + equity + benefits. The range provided is Shopmonkey’s reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as location, experience, training, skills, and abilities. Consult with your Recruiter during the initial call to determine a more targeted range based on these job-related factors. In addition to this base compensation company stock options and benefits as outlined below are included.

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary $40,000-47,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

We are now hiring a Lead Spanish Preschool Teacher for our lovely Guidepost Montessori School at Alicia!

Get the opportunity to empower 3 to 6-year-olds to gain independence, self-confidence, and an enduring love of learning!  

$40,000-48,000

Your Role  

We're looking for an enthusiastic, dedicated Lead Guide (Teacher) to support a mixed-age class of preschool age children in a Montessori environment.  

In a Montessori class, guides (teachers) carefully prepare an environment that fosters independence and captivates a child’s interest. Guides provide personalized support to each child. They work with children individually and in small groups, demonstrating how to use the materials and perform activities with them, and giving precise language to understand their experiences.   

Because of the carefully prepared environment and individualized support, children in a Montessori class have tremendous liberty to explore the environment and work on materials of their choice for as long as they want. Most importantly, the support and materials help every child develop skills, confidence, and a firm conviction that they are capable.   

We’re looking for a Lead Guide who will bring their best in order to support every child in reaching their highest potential!  

Children’s House Lead Guides:  

• Observe each child closely to understand and meet their physical, intellectual, and emotional needs   

• Prepare a beautiful, orderly environment that fosters concentration, independence, and deep learning  

• Cultivate independence and self-confidence by helping children ‘do it all by themselves’   

• Provide individual and small-group lessons to support each child’s development in practical skills, literacy, math, and so much more  

• Form personal connections with each child and cultivate a community of respect  

• Communicate and collaborate respectfully with parents to provide the best possible support for every child  

The Montessori Prepared Environment  

Every classroom at Guidepost comes equipped with the full range of high-quality Montessori materials for the Children’s House curriculum, as well as a budget for guides to personalize their space. Each classroom is set up according to the Montessori principles of beauty and order and is designed to enable every child to learn, concentrate, and confidently achieve their independence.   

A Guidepost Montessori Children’s House space features:  

• Child-sized furniture and ample floor space for children to work independently or in small groups  

• Practical life materials for children to sweep, set the table, dust, prepare meals, and so much more   

• Curriculum for independence: in dressing themselves, feeding themselves, caring for the space etc.  

• Scientifically designed, hands-on learning materials for gaining core knowledge in math, literacy, science, and so much more   

• All materials made accessible to children on low shelves and all art at the child’s level  

• Cozy reading areas, real plants, and plenty of natural light 

• Breakable objects made from natural materials like wood, metal, and glass rather than plastic  

If you’re passionate about giving children the tools they need to succeed, eager to partner with parents on their child’s journey, and longing to join a collaborative community of peers, then the team at Guidepost Montessori would love to hear from you!  

An ideal candidate has:  

• Obtained or willing to obtain a Montessori diploma for 3-6 

• Experience working with children ages 3-6 in a group setting such as daycare, aftercare, or preschool 

• Familiarity with child-led philosophies such as Reggio Emilia or Montessori and/or open to learning more! 

• 12 Early Childhood Education (ECE) or Child Development credits 

• Earned a Bachelor’s Degree in Child Development or Early Childhood Education
• Bilingual in English and Spanish

What we offer:  

• The opportunity to contribute to a high-quality Montessori program that serves the individual needs of each child  

• Sponsored Montessori diploma and ongoing professional development through the Prepared Montessorian Institute   

• 75% tuition discount for two children at any school in our network (we serve children from 3-months-old through 6 years old)  

• A network of supportive peers and mentors who appreciate your valuable contributions and regularly share best practices   

• Abundant career growth and promotion opportunities 

• A competitive salary 

• Health, dental, and vision insurance 

• Paid time off and paid holidays  

About Us  

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 0-12 in our Nido, Toddler, Children’s House, and Elementary programs. 
  

At Guidepost, we believe children are capable and we design an education for independence. We’re on a mission to radically transform education based on this belief—for children, parents, and educators!   

Our mission? Children who fully experience and joyfully achieve their own development; children who can reach their highest potential and flourish—in school and in life!  

If you love children and have been looking for the right opportunity to grow, join our school community by applying below!  

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (child development or early childhood education)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-50,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (Child Development or Early Childhood Education)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary Salary Range: $42,000-50,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (ECE or Child Development)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary $40,000-49,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Help toddlers discover who they are and what they can do.

At Guidepost Montessori, our Lead Toddler Guides create calm, purposeful environments where curiosity, independence, and confidence grow every day.

If you’re passionate about early childhood development and ready to lead a classroom designed for exploration and independence, this is your opportunity to make a meaningful impact.

Your Role

As a Lead Toddler Guide, you’ll lead a mixed-age toddler classroom in a Montessori environment thoughtfully designed to support children during one of the most formative stages of development.

Montessori guides prepare beautiful, orderly environments that invite exploration and support independence. Through careful observation, individualized lessons, and respectful guidance, you’ll help each child develop language, coordination, self-regulation, and confidence.

Your leadership will empower toddlers to explore freely, make choices, and take pride in what they can accomplish laying the foundation for lifelong learning.

What You’ll Do

• Observe each child closely to understand and support their physical, emotional, and cognitive development
• Prepare and maintain a beautiful, orderly classroom that fosters focus, independence, and exploration
• Support independence by encouraging toddlers to “do it themselves”
• Provide lessons in practical life skills, language development, and grace and courtesy
• Build warm, trusting relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead classroom routines and collaborate with team members to create a respectful, joyful community

The Montessori Prepared Environment

Every Guidepost toddler classroom is fully equipped with high-quality Montessori materials and designed according to the principles of beauty, order, and independence.

Our toddler environments feature:

• Open spaces that encourage movement and exploration
• Child-sized furniture and tools to support independence
• Curriculum that builds skills in dressing, feeding, and toilet learning
• Scientifically designed materials for fine and gross motor development
• Natural elements including cozy rugs, real plants, and abundant light
• Beautiful, breakable materials made from wood, metal, and glass
• Opportunities to climb, crawl, and explore without restrictive devices

What We’re Looking For

• Interest in pursuing fully sponsored Montessori certification through our Prepared Montessorian Institute, or a previously earned Montessori diploma
• Experience working with children ages 0–3 in a group care or early learning setting
• Alignment with child-led educational approaches (Montessori, Reggio Emilia, or similar)
• Required 12 ECE or Child Development credits
• Bachelor’s degree (ECE or Child Development related field)

What We Offer

• Sponsored Montessori diploma training and ongoing professional development
• Competitive salary Salary Range: $42,000-50,000
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A collaborative, supportive network of peers and mentors
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children from 3 months to 6 years old in our Nido, Toddler, and Children’s House programs.

We believe children are capable and we intentionally design environments that empower them to explore, grow, and flourish. Our mission is to transform education by nurturing independence, joy, and lifelong learning.

If you’re inspired by toddler development, excited to partner with families, and ready to lead with purpose, we’d love to welcome you to Guidepost Montessori.

Apply today and help toddlers take their next big steps.

Inspire curiosity. Build independence. Shape a lifelong love of learning.

At Guidepost Montessori, our Lead Children’s House Guides empower children ages 3–6 to grow into confident, capable learners through thoughtfully prepared environments and respectful, individualized guidance.

If you’re passionate about early childhood education and excited to lead a classroom where independence and joy take center stage, we’d love to meet you.

Your Role

As a Lead Children’s House Guide, you’ll lead a mixed-age preschool classroom in a Montessori environment designed to nurture concentration, confidence, and deep learning.

Montessori guides carefully prepare their classrooms to spark curiosity and independence. Through close observation, individualized lessons, and intentional language, you’ll support each child’s academic, social, and emotional development meeting them where they are and helping them grow.

Children in Montessori classrooms have the freedom to choose meaningful work, repeat activities until mastery, and take pride in their accomplishments. Your guidance helps every child develop focus, confidence, and a strong belief in their own abilities.

What You’ll Do

• Observe each child closely to understand and support their physical, intellectual, and emotional development
• Prepare and maintain a beautiful, orderly classroom that fosters concentration and independence
• Encourage self-confidence by supporting children as they learn to “do it themselves”
• Provide individualized and small-group lessons in practical life, literacy, math, and beyond
• Build strong, respectful relationships with children and families
• Communicate and collaborate with parents to support each child’s growth
• Lead your classroom with warmth, professionalism, and purpose

The Montessori Prepared Environment

Every Guidepost Children’s House classroom is fully equipped with high-quality Montessori materials and designed around the principles of beauty, order, and accessibility.

A Guidepost Children’s House environment includes:

• Child-sized furniture and ample floor space for independent and small-group work
• Practical life materials for sweeping, food preparation, table setting, and care of the environment
• Curriculum that builds independence in dressing, feeding, and self-care
• Hands-on materials for literacy, math, science, and cultural studies
• Low shelves and child-level artwork for full accessibility
• Cozy reading spaces, real plants, and abundant natural light
• Beautiful, breakable materials made from wood, metal, and glass

What We’re Looking For

• Montessori diploma for ages 3–6, or willingness to obtain certification (fully sponsored)
• Experience working with children ages 3–6 in a group learning environment
• Alignment with child-led philosophies such as Montessori or Reggio Emilia
• Required ECE or Child Development credits
• Bachelor’s degree in (any field)

What We Offer

• Sponsored Montessori diploma training through the Prepared Montessorian Institute
• Ongoing professional development and mentorship
• Competitive salary Salary Range: $40,000-48,000+
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 75% tuition discount for up to two children at any Guidepost school
• A supportive network of passionate educators
• Clear opportunities for career growth and leadership advancement

About Guidepost Montessori

Guidepost Montessori is a growing network of over 100 schools across the U.S. and Asia, serving children ages 3 months to 6 years in our Nido, Toddler, and Children’s House programs.

We believe children are capable. Our mission is to transform education by designing learning environments that cultivate independence, joy, and lifelong curiosity for children, families, and educators alike.

Make your impact within a rapidly growing Fintech Company

Join BILL's AI Product Engineering team and help shape the future of intelligent financial automation. As a Senior Machine Learning Engineer, you'll play a pivotal role in designing, building, and deploying machine learning solutions that power BILL's next-generation products. This is an opportunity to work in a collaborative, high-impact environment where your expertise will directly influence the company's growth and the experience of millions of users.

Responsibilities:

• Design, develop, and deploy robust machine learning models to solve real-world business challenges in the fintech domain
• Collaborate cross-functionally with product managers, engineers, and data scientists to translate business requirements into scalable ML solutions
• Analyze complex datasets, identify patterns, and extract actionable insights to drive product innovation
• Evaluate, optimize, and monitor model performance in production, ensuring reliability and accuracy over time
• Contribute to the development and improvement of AI workflows, agentic evaluation and best practices within the team
• Document methodologies, experiments, and results to ensure knowledge sharing and reproducibility
• Mentor junior team members and share technical expertise to elevate team capabilities

We’d love to chat if you have:

• Proven experience building and deploying machine learning models in production environments
• Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Previous experience with OCR extraction and NLP methodologies
• Knowledge of AI agents and strong experience with LLMs
• Ability to analyze and interpret large, complex datasets using statistical and data analysis techniques
• Excellent communication and collaboration skills, with a track record of working effectively in cross-functional teams
• A problem-solving mindset and a passion for continuous learning and innovation

Visa Sponsorship:  Please note that this position is eligible for visa sponsorship. 

#LI

WHAT YOU’LL DO

THE DAY-TO-DAY

• Lead and Define AI Strategy – Set the vision for applied ML research and AI-driven decision-making across Viant’s products and services.
• Drive High-Impact Research – Conduct advanced research in NLP, RL, LLMs, and deep learning, publishing in top-tier conferences while applying findings to real-world production systems.
• Architect and Deploy ML at Scale – Develop, optimize, and deploy high-throughput, low-latency ML models, collaborating with engineers to bring solutions into production.
• Innovate in Generative AI & Causal ML – Explore novel AI techniques, such as LLMs, reinforcement learning, and causal inference, to enhance targeting, personalization, and attribution models.
• Experimentation and Validation – Design, run, and analyze A/B experiments to test ML-driven strategies, ensuring data-driven decision-making.
• Mentor and Influence – Provide technical leadership for a team of applied scientists and ML engineers, fostering a culture of innovation and excellence.

MUST HAVE

• Experience: 4+ years of experience building and deploying machine learning models at scale.
• Technical Leadership: Demonstrated ability to lead complex, high-ambiguity ML projects from research to production.
• Academic & Industry Recognition: Masters + At least two peer-reviewed publications in deep learning, NLP, or a related AI domain or a PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field.
• Deep Expertise in ML & AI: Strong foundation in deep learning, NLP, generative AI, and causal inference.
• Programming & Frameworks: Proficiency in Python and deep learning frameworks (TensorFlow, PyTorch, LangChain, Llama Index).
• Scalability & Cloud: Experience with distributed computing, cloud ML platforms (AWS, GCP, or Azure), and real-time AI inference.

GREAT TO HAVE

• Industry Impact: Publications at top-tier ML/NLP conferences (NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, AAAI).
• Ad Tech Expertise: Experience in digital advertising, real-time bidding, or audience modeling.
• Generative AI Applications: Hands-on experience with LLMs and multimodal AI applications.
• Optimization & Personalization: Strong background in reinforcement learning, dynamic pricing, or recommendation systems.

LIFE AT VIANT

Investing in our employee’s professional growth is important to us, but so is investing in their well-being. That’s why Viant was voted one of the best places to work and some of our favorite employee benefits include fully paid health insurance, paid parental leave and unlimited PTO and more. 

#LI-KW1

Workato AI Lab

About Workato AI Lab

Workato AI Lab is at the forefront of enterprise AI innovation, developing cutting-edge agentic systems that transform how businesses automate and optimize their workflows. Our team bridges academic research with real-world applications, creating AI systems that serve millions of users across global enterprises.

Responsibilities

We are seeking exceptional graduate students to join our AI Lab as Research Interns in San Francisco. You'll work on fundamental problems in LLM-based agentic systems and efficient AI infrastructure, with opportunities to publish your research while making direct impact on production systems serving enterprise customers.

We are now filling intern positions for Winter 2026 and Spring 2027. 

Research Areas

• LLM Agent Systems: Design and implement intelligent agent architectures for complex enterprise automation tasks, including multi-agent collaboration, MCP, and reasoning frameworks

• Efficient LLM Fine-tuning: Develop novel methods for parameter-efficient adaptation, alignment, and reinforcement learning for large language models

• High-Performance LLM Inference: Optimize inference pipelines through systems-level innovations, kernel development, and deployment strategies

In this role, you will also be responsible to:

• Conduct original research on LLM agent architectures and optimization techniques

• Develop and evaluate novel algorithms with both academic rigor and production feasibility

• Present your work at internal research seminars and external conferences

• Mentor and collaborate with LLM  engineers on implementation and deployment

Requirements

Qualifications / Experience / Technical Skills

• Currently pursuing MS/PhD in Computer Science, Machine Learning, Natural Language Processing, or related fields

• Publications at top-tier venues (ICML, NeurIPS, ICLR, ACL, EMNLP, NAACL)

• Strong programming skills in Python and PyTorch

• Ability to work in-person at our San Francisco office

• Ability to work independently and collaborate across research and engineering teams

Preferred:

• Experience with self-evolving agent systems

• Proficiency in CUDA programming and custom kernel development for LLM operations

• Background in reinforcement learning-based LLM fine-tuning 

• Track record of contributions to production inference systems such as vLLM, TensorRT-LLM, SGLang, or Hugging Face ecosystem

• Experience bridging academic research with production systems

• Open-source contributions to widely-used ML infrastructure projects

(REQ ID: 2690)

What You’ll Do 

• Design, implement, and evaluate novel machine learning and deep learning algorithms, concentrating on Large Language Models (LLMs), automated speech recognition (transcription), and unified multimodal architectures. 
• Iterate on AI model development, starting from the data needed for training, architecture, input/output representations, evaluation, and deployment for complex sequence-to-sequence and multimodal tasks. 
• Collaborate with other research engineers to prototype and validate complex solutions from academic literature in natural language processing and speech. 
• Conduct experiments to benchmark new techniques and evaluate model behavior. 
• Develop tools and frameworks to support scalable and reproducible research and development. 
• Communicate research findings to leadership in a concise, and convincing manner. 
• Stay current with the latest developments in Generative AI and Speech/Language Models and identify relevant innovations. 
• Assist in transitioning research prototypes into production-ready systems. 

Minimum Education Requirement: Master’s degree in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics.  

Minimum Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 3 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.  

Alternate Education Requirement: PhD in Artificial Intelligence, Computer Science, Computational Sciences, Machine Learning, Informatics. 

Alternate Experience Requirements: AI/ML Engineer, Software Engineer, Research Scientist, AI Research Engineer or related job title in which 2 years of experience with developing and supporting production machine learning systems, including model deployment, monitoring, versioning, and retraining, using modern observability and experimentation tools (e.g., Grafana, Prometheus, Statsig); building ML and deep learning models using Python and PyTorch, including NLP tools (e.g., Huggingface, NLTK, spaCy, transformer-based models); with largescale data pipelines using distributed processing frameworks (e.g., Spark, Databricks); and collaborating with cross-functional teams to translate business requirements into ML solutions PLUS 1 year of experience developing computer vision or multimodal ML systems (e.g., OpenCV, YOLO, vision transformers) were gained.

Please apply online at: https://www.archer.com/careers. Must put job code SJ2026YM on resume/CV and cover letter. 

At Archer we aim to attract, retain, and motivate talent that possess the skills and leadership necessary to grow our business. For this position we are offering $240,000 to $252,000 per year.

#LI-DNF

About the Team: 

Relativity Space is on a mission to better connect humanity to space and the universe beyond our planet. With decades of experience scaling world-class technology organizations like Google, CEO Eric Schmidt is guiding Relativity into its next phase: advancing Terran R toward launch and building the foundation for long-term impact. 

The Data & AI organization at Relativity Space is a critical pillar supporting our work to build autonomous rocket factories and launch platforms. Our mission is to develop and integrate data engineering, machine learning, and AI technologies that provide actionable insights, automate decision-making, and drive efficiencies across our operations.

As a director, you’ll shape the strategies and technologies that power these systems. You will lead a cross-functional team focused on delivering high-performance data pipelines, building scalable AI models, and ensuring that AI-driven automation plays a central role in transforming operations from Earth to Mars

About the Role:

As the Director of Data & AI, you will be responsible for the strategic direction and technical leadership of our data and AI initiatives, which include:

• Data Engineering: Lead the design and implementation of scalable data architectures, including ETL pipelines, data modeling, data warehouse management, and reporting infrastructure, ensuring high-quality, actionable data across all systems.
• Data Platform: Oversee the development of a distributed data platform that supports mission-critical applications, enabling real-time data ingestion, access, and orchestration for test and launch and factory operations.
• Machine Learning & AI: Direct the design, development, and deployment of AI and machine learning models that leverage our data to drive automation, decision-making, and predictive analytics across the organization. Ensure these models are scalable, reliable, and move the needle on critical metrics for the company.
• Leadership & Mentorship: Lead, mentor, and grow a team of software engineers, data engineers and machine learning engineers. Create an environment that fosters innovation, continuous learning, and technical excellence while aligning goals with company objectives.
• Collaboration & Strategy: Partner with leadership and cross-functional users across the company to define the long-term strategy for data and AI initiatives, aligning the technical roadmap with company goals.

About You:

• Education: Degree in Computer Science.
• Experience: 10+ years of experience in software engineering, data engineering or machine learning, with at least 5 years in a leadership role, overseeing large-scale systems.
• AI & Machine Learning Expertise: Experience designing, building, and deploying AI models and machine learning systems, particularly in high-performance or mission-critical environments. Proficient in AI techniques including deep learning, reinforcement learning, and natural language processing.
• Foundational Machine Learning Knowledge: Understanding of core ML concepts. Experience with advanced models such as Transformers/LLMs, LSTM models, time-series forecasting, and predictive analytics for real-time decision-making and automation. Familiarity with the mathematical underpinnings of ML.
• AI Infrastructure Experience: Experience with building and scaling AI infrastructure, including deploying and managing machine learning models in production environments. Experience with agentic architectures (e.g., MCP).
• Data Engineering: Experience in building scalable data architectures, including ETL pipelines, data modeling, and analytics.
• Expertise with modern data tools and technologies (e.g., Kafka, Spark, SQL, NoSQL, data lakes).
• Cloud & Platform Development: Understanding of cloud platforms (AWS, GCP, etc.), containerization (Docker, Kubernetes), and orchestration for building and deploying services.
• Leadership & Strategy: Demonstrated ability to lead and mentor teams, build a strong technical culture, and drive organizational change.
• Experience in developing strategic roadmaps and managing cross-functional collaborations to align on company-wide data and AI objectives.

Nice to haves but not required:  

• Direct experience with aerospace or manufacturing

Travel:

• Occasional visits to Relativity Space facilities across the United States

The Role

We are seeking a Staff Machine Learning Engineer with deep expertise in agentic AI — and a true passion for experimentation and creation — to design, build, test, evaluate, and productionize next-generation autonomous AI agents for healthcare and clinical research. If you love rapidly prototyping wild ideas, running build-test-learn cycles, iterating on novel agent behaviors, and turning unsolved challenges into working systems, this is the role for you. You will own end-to-end agentic workflows that reason, plan, use tools, orchestrate multi-agent collaboration, and deliver safe, reliable outcomes in highly regulated environments, while collaborating with multidisciplinary teams to influence Medeloop’s technological direction. You will also be nested within a team of advisors and collaborators with deep medical and health expertise, including scientists, clinicians, and AI experts, including the former FDA commissioner, former editor of JAMA, and developer of BloombergGPT. The result: You will be an active participant in fostering a data lead public health and healthcare ecosystem. 

What You'll Own

• Lead the design and architecture of advanced agentic AI systems, including reasoning loops (ReAct, CoT, ToT), tool-calling, dynamic multi-agent orchestration, RAG pipelines, memory/state management, and emerging protocols like Model Context Protocol (MCP) and Agent-to-Agent (A2A).
• Build and own production-grade agent infrastructure, including prompts, function tools, workflow graphs, MCP/A2A integrations, and adaptive agent lifecycle management (spinning up, specializing, delegating, and decommissioning agents dynamically for complex healthcare workflows).
• Develop rigorous evaluation and safety frameworks — automated testing, benchmarking, regression testing, adversarial testing, safety guardrails, observability (tracing, logging, metrics), and human-in-the-loop mechanisms to ensure reliable, compliant performance in production.
• Drive LLM and ML model development — train, fine-tune, and deploy large-scale models on healthcare datasets, working closely with researchers and clinicians to solve real clinical challenges.
• Shape Medeloop’s agentic AI strategy and roadmap in close partnership with the C-suite and cross-functional leadership.
• Stay at the cutting edge of agentic AI (multi-modal agents, advanced reasoning models, interoperability protocols) and help establish Medeloop as a leader in transparent, compliant healthcare AI.

What We're Looking For

• 7+ years of hands-on experience as a Machine Learning Engineer, with a proven track record building and shipping production agentic AI systems (single- or multi-agent) in industry, ideally in healthcare, life sciences, or other related domains.
• Experience working on analytic engines (or advanced analytics platforms) — designing, optimizing, or integrating systems that power data-driven insights, queries, or decision-making at scale.
• Strong theoretical foundation in ML/AI, with emphasis on NLP/LLMs, reinforcement learning, planning/reasoning algorithms.
• Deep expertise with agentic frameworks and tools: LangChain/LangGraph, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocols, Hugging Face, PyTorch, vector databases/semantic search, prompt engineering, and observability platforms (e.g., LangSmith, Phoenix).
• Experience designing fully automated evaluation and testing pipelines for autonomous agents and their orchestration, including metrics for reliability, safety, factuality, cost/latency, clinical utility, and dynamic behaviors.
• A builder/experimenter mindset — you thrive on rapid prototyping, testing bold new ideas, iterating quickly on agent designs, and exploring uncharted territory in agentic systems.
• Passion for unsolved challenges in healthcare AI, with the ability to thrive in a fast-paced, multidisciplinary environment and wear multiple hats.

Bonus Points

• Strong record in top AI/ML conferences/journals; experience with healthcare data (EHRs, claims) and regulatory considerations (HIPAA, transparency, reproducibility).
• Multi-cloud experience (AWS, Azure, GCP)

Why Medeloop

• Ownership from day one: small team, high-trust, no layers between your work and its impact
• Technically ambitious: you'll build AI-powered workflows, not just support them
• Real-world stakes: your work accelerates drug development, addresses health equity, and improves clinical research for institutions that matter
• Strong foundation: Series A, top-tier investors, and a data asset (200M+ patient records) that most companies spend years trying to build

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

 In this role, you will also be responsible to:

• Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent.

• Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data.

• Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods.

• Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning.

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Proficiency in Knowledge Graph construction and optimization is a plus.

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

For candidates based in California, New York, and Colorado the expected salary range for this role is $215,000–$285,000. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

(REQ ID: 2472)

Responsibilities

We are looking for an exceptional Senior Software Engineer (Search / Retrieval) to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale. You will also be responsible to:

• Lead the development of advanced our search cluster that can scale to millions of documents across customers and data sources

• Deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback.

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval.

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing.

• Drive improvements in query construction, indexing and search performance

• Be up-to-date with the latest improvements in search and indexing technologies

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack.

Requirements

Qualifications / Experience / Technical Skills

• Bachelors/Masters/PhD degree in Statistics, Mathematics or Computer Science, or another quantitative field.

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2272)

Responsibilities

As we work towards building out the Context Layer for the Agentic Enterprise, we are looking for an exceptional Search/AI Engineer with experience in Search Relevance to join our growing team. In this role, you will lead the design, development, and optimization of intelligent search systems that leverage machine learning at their core. You’ll be responsible for building end-to-end retrieval pipelines that incorporate advanced techniques in query understanding, ranking, and entity recognition. The ideal candidate combines deep expertise in information retrieval and search relevance with hands-on experience applying machine learning to real-world search problems at scale.

In this role, you will also be responsible for:

• Lead the development of advanced query understanding systems that parse natural language, resolve ambiguity, and infer user intent

• Design and deploy learning-to-rank models that optimize relevance using behavioral signals, embeddings, and structured feedback

• Build and scale robust Entity Recognition pipelines that enhance document understanding, enable contextual disambiguation, and support entity-aware retrieval

• Architect next-gen search infrastructure capable of supporting highly dynamic document corpora and real-time indexing

• Create and maintain graph-based knowledge systems that enhance LLM capabilities through structured relationship data

• Drive improvements in query rewriting, intent classification, and semantic search, using both statistical and neural methods

• Own the design of evaluation frameworks for offline/online relevance testing, A/B experimentation, and continual model tuning

• Collaborate with product and applied research teams to translate user needs into data-informed search innovations

• Produce clean, scalable code and influence system architecture and roadmap across the relevance and platform stack

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's/Master's/PhD degree in Statistics, Mathematics, Computer Science, or another quantitative field

• 7+ years of backend engineering experience with 3+ years in search, information retrieval, or related fields

• Strong proficiency in Python

• Hands-on experience with search engines (Opensearch or Elasticsearch)

• Strong understanding of information retrieval concepts spanning traditional methods (TF-IDF, BM25) and modern neural search techniques (vector embeddings, transformer models)

• Experience with text processing, NLP, and relevance tuning

• Experience with relevance evaluation metrics (NDCG, MRR, MAP)

• Experience with large-scale distributed systems

• Proficiency in Knowledge Graph construction and optimization is a plus

• Strong analytical and problem-solving skills

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional teamwork

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2472)

Responsibilities

As Staff Product Manager for Builder Experience, you will define and execute the strategy to deliver world-class authoring experiences that empower both technical and business users to create sophisticated automations efficiently. Your goal is to build intuitive, powerful, and intelligent builder tools that set the standard for low-code/no-code platforms while supporting advanced patterns for complex enterprise use cases.

• Enable Advanced Integration Patterns

  • Support complex enterprise patterns including scatter-gather and asynchronous processing
  • Build capabilities for multiple trigger configurations and conditional routing
  • Deepen debugging capabilities such as mid-job reruns and viewing logs in loops
  • Ensure the platform can handle sophisticated error handling and compensation patterns
  • Drive innovation in how users visualize and manage complex workflow orchestrations

  Leadership in Builder Experience Innovation

  • Develop and execute the product strategy for comprehensive authoring experiences across the entire automation lifecycle
  • Define and prioritize the roadmap for next-generation builder capabilities including AI-powered copilot features, advanced debugging tools, and intelligent assistance
  • Champion user-centric design principles to ensure the builder experience delights users at every skill level
  • Drive adoption of advanced integration patterns including multiple triggers, scatter-gather, and promise-based architectures

  Drive AI-Powered Development Assistance

  • Integrate AI copilot capabilities to accelerate automation development through intelligent code suggestions and pattern recognition
  • Build smart error detection and resolution features that guide users to successful implementations
  • Leverage machine learning to provide contextual help and recommendations based on user behavior and common patterns
  • Partner with AI research teams to infuse intelligence throughout the authoring experience

  Build Comprehensive Development Tools

  • Own the macro-view experience for managing multiple assets working together, ensuring seamless collaboration and reusability
  • Deliver micro-view capabilities for deep debugging of individual steps, loops, and data transformations
  • Implement robust design-time testing capabilities that reduce errors before deployment
  • Create sophisticated undo/redo mechanisms, draft management, and autosave features that protect user work

  Lead Cross-Functional Execution

  • Collaborate closely with engineering, UX, and architecture teams to deliver seamless builder experiences
  • Partner with Platform Experience PM to ensure consistency across the platform
  • Work with customer success and support teams to understand pain points and iterate on solutions
  • Act as the voice of the builder, advocating for developer and business user needs across the organization

Requirements

Leadership & Product Management

• 8+ years of product management experience in SaaS or B2B environments, with focus on developer tools or low-code/no-code platforms
• Proven success in shipping complex authoring experiences that balance simplicity with power
• Strong track record of improving developer productivity metrics and user satisfaction scores
• Experience leading cross-functional initiatives that require deep technical understanding and user empathy

Builder & Developer Tools Expertise

• Deep expertise in IDE design, code editors, visual programming interfaces, and debugging tools
• Strong understanding of both low-code/no-code paradigms and traditional development workflows
• Experience with modern development practices including version control, CI/CD, and collaborative development
• Hands-on experience with automation platforms, iPaaS solutions (Zapier, Make, Mulesoft, Boomi), or workflow builders
• Familiarity with AI-assisted development tools and copilot technologies

Technical Foundation

• Strong technical background with ability to understand complex integration patterns and distributed systems
• Experience with API design, data transformation, and enterprise integration patterns
• Understanding of performance optimization, scalability challenges, and enterprise-grade requirements
• Ability to work closely with engineering teams on technical architecture decisions

AI & Intelligent Automation

• Experience integrating AI/ML capabilities into development tools to enhance productivity
• Understanding of natural language processing for intent recognition and code generation
• Familiarity with predictive analytics for error prevention and performance optimization
• Vision for how AI can transform the development experience without sacrificing control

Customer-Centric Execution

• Ability to deeply understand the needs of diverse user personas from citizen developers to enterprise architects
• Proven ability to translate complex technical concepts into intuitive user experiences
• Track record of using data, user research, and feedback to drive product decisions
• Experience balancing the needs of technical and non-technical users in a single platform

Analytical & Data-Driven Decision Making

• Strong ability to define and track metrics that matter for developer productivity and satisfaction
• Experience with A/B testing, feature experimentation, and iterative improvement
• Ability to analyze usage patterns to identify opportunities for simplification and automation
• Data-driven approach to prioritization and roadmap planning

Educational Background

• Bachelor's Degree in Computer Science, Engineering, Human-Computer Interaction, or a related field
• An advanced degree is a plus but not required

For California applicants, the pay for this role may range between $180,000 - $240,000 plus benefits, perks, and equity. The final package will depend on the interview process, we're open to negotiation.

Job Req #2285

ABOUT US

Fashion Nova is the world’s leading trend-to-market fashion and lifestyle brand with high-growth categories across its Women, Men, Kids and Beauty divisions. Renowned for delivering the most-wanted styles to millions worldwide, Fashion Nova earned the title of the Top 5 Most-Searched Fashion Brand on Google in 2022, alongside Louis Vuitton and Nike.

Founder & CEO Richard Saghian launched the brand in 2006, from a retail location in Los Angeles. After multiple store openings, Saghian launched the e-commerce website for Fashion Nova in 2013, pioneering a disruptive social commerce model of affordable, on-trend, size-inclusive clothing online– powered by an innovative, social media-first marketing strategy.

Today, Fashion Nova has amassed over 40 million social media followers, with annual sales of approximately $2 billion!

The brand’s name has been featured in chart-topping hit songs by Cardi B, Drake, 21 Savage, Saweetie, The Game, Tyga and Offset and its styles have been worn by many celebrities, artists and athletes including Meg The Stallion, Ice Spice, Chris Brown, Floyd Mayweather, Rick Ross, Kourtney Kardashian, and Kylie Jenner.

ROLE OVERVIEW

Reporting to the Post-Production Manager, the Freelance Photo Retoucher is responsible for editing a high volume of eCommerce product images, shot daily in our photo studio. You will oversee retouching complex and demanding editorial fashion campaign photography. Your expertise will be instrumental in the company exceeding the expectations of our customers and ensure our products are represented accurately. As a color specialist, you will also be responsible for ensuring color accuracy and consistency across digital and print media, performing advanced color swapping, balancing tones, and maintaining calibrated workflows in collaboration with photographers and production teams. An eye for detail, deep understanding of color theory, and 
proficiency in industry-standard software like Adobe Photoshop.

RESPONSIBILITIES

• Retouch and upload product photography images
• Manipulate, adjust, and swap colors on products while maintaining natural texture, shadows, and lighting integrity
• Create multiple color variants of a single product image as needed for product lines or promotional use.
• Match product images to physical color samples and style guides for  visual consistency across channels.
• Name and maintain digital asset file|structure organization
• Crop digital photographic images|maintain file size specification guidelines
• Ensure color consistency between image assets
• Upload assets to servers in accordance with calendars
• Strong color correction skills, matching images from different cameras
• Perform quality assurance on all images
• Responsible for completion of work to daily and weekly deadlines
• Ability to receive creative direction from the Director, Art and the Director, Creative Services, and make amends where necessary
• Demonstrate initiative and ideas to constantly improve the service of the photography team

ROLE REQUIREMENTS

• Two plus years of experience as a Photo Retoucher in a studio environment, ideally in the Fashion eCommerce industry
• Proven experience in photo retouching and color manipulation, with a strong portfolio demonstrating before-and-after examples
• Strong knowledge of color theory, with the ability to perform color  corrections, adjustments, and creative color grading to enhance product imagery.
• Expertise with Adobe Creative Suite and Photoshop
• Detail oriented, organized, and methodical approach to retouching
• Enthusiasm for exploring new techniques and ideas in pursuit of improving existing workflow
• Knowledge of studio photography and lighting practices, as well as photographic vocabulary and terms.
• Able to have a detail-oriented dialogue about the properties of a given image.
• Passionate about teamwork and team building
• Willingness to embrace giving and receiving critical feedback
• BA degree in Photography or equivalent work experience
• English, additional language(s) an advantage
• Schedule of this position: Monday – Friday | Core business hours | Onsite

BENEFITS

• New State-of-the-art HQ located in Beverly Hills
• Formalized career paths for continued professional growth
• Comprehensive health insurance across Medical, Dental and Vision
• 401k match, with immediate vesting upon eligibility
• Weekly catered lunches & fully-stock kitchen pantry!
• Opportunities to travel for trade shows and vendor meetings
• Summer Fridays Early Departure
• Team bonding events and programs
• Attractive employee discounts!

Fashion Nova, LLC, and subsidiaries thereof, is an Equal Opportunity Employer. We are steadfast in our commitment to equal employment opportunities and pledge that these objectives are reflected in all aspects of our daily operations. We will continue to recruit, hire, train, and advance in employment qualified individuals in all job titles without regard to race, color, national origin, gender, sexual orientation, gender identity, religion, age, status as a protected veteran, criminal history, or status as an individual with a disability; and shall not discriminate against any individual, any such characteristic, nor any other classification protected by local, state and|or federal law.