About the Team 

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

About the Role

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

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

What you’ll be doing

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

We’re excited if you have

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

#LI-SB5

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

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

Senior Software Developer

You are the engineer who can take a hard problem from data layer to UI to model gateway and back without dropping the thread. Full-stack is not a compromise here — it's the job. LLM integration is part of the everyday work, not a side project. You'll write NestJS services that publish events through a well-defined SDK, consume those events into projections, expose them through APIs, build the console UI that makes them useful, and integrate LLMs as governed components inside workflows — with prompt versioning, evals, observability, and cost discipline. The codebase is strict TypeScript, opinionated, and well-documented. Every exported symbol has a JSDoc block. Every architectural decision has an ADR. Every PR ships with docs. You'll match that bar from day one. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 7+ years of production TypeScript and Node. You write strict TypeScript by reflex; you don't reach for any.
• Production experience with NestJS or a comparable Node framework at the level where you understand the request lifecycle, dependency injection, and the trade-offs.
• Production experience with Next.js (App Router preferred) and modern React: server components, streaming, client/server boundary discipline.
• LLM-powered features shipped to production. You've dealt with prompt drift, eval design, hallucination handling, and the cost of getting any of those wrong.
• Postgres at a working level: migrations, index design, query plan analysis, trade-off reasoning.
• Event-driven architecture experience: pub/sub, idempotent consumers, eventual consistency, ordering, retries, dead-letter behavior.
• Strong testing instincts: unit, integration, end-to-end. You don't ship without tests and you care about the difference between tests that pass and tests that matter.

Nice to have

• Drizzle ORM, Temporal, or Redpanda/Kafka in production.
• OpenTelemetry beyond surface-level — sampling strategy, semantic conventions, custom instrumentation.
• Design system contribution — component libraries, accessibility patterns, design token discipline.
• Agent frameworks (LangGraph, custom orchestration), eval tooling (Braintrust, LangSmith), or prompt versioning systems.
• Open-source contributions to the TS/Node/Next ecosystem.

What you’ll be doing in this role:

• Backend services in NestJS: API design, request validation with Zod, event publishing through the canonical SDK, projection consumers, RLS-aware database access. You write the service, the tests, and the docs.
• The Next.js console: App Router, server and client components, the in-house design system, real-time UI patterns, the widget framework. You make complex platform state feel direct and obvious to operators.
• LLM integration: agent orchestration inside the workflow runtime, prompt engineering with version control, evaluation harnesses, model gateway usage, structured output validation, retry and fallback logic. You treat model calls as production code, not prompts in a notebook.
• Observability: OpenTelemetry traces, structured logs, meaningful metrics on every meaningful surface. If a customer reports a problem, your code should make finding it trivial.
• Engineering culture: you set the bar for engineers who join after you. The next hires learn from your PRs.

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

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

Marketing today is a product discipline. The teams driving growth are built on data, systems, experimentation, and technical execution. We’re looking for a Product Manager, Marketing AI Enablement to own both the technical foundation and business strategy behind scalable marketing programs, starting with Meta, Paid Social and expanding across our growth engine.

We are looking for a growth-minded Product Manager to sit at the intersection of engineering, data, AI, market strategy. This isn't a marketing support role; you are the architect of a technical growth engine, building the consumer-facing products that drive adoption and scale. You will own the marketing strategy, creative direction, and optimization cycles for the products and systems you build.

Leading a multidisciplinary squad of agency partners, data scientists, and business stakeholders, you will tackle one of our most critical challenges: innovating new, seamless ways to convert potential homebuyers. You’ll have the autonomy to experiment, the data to move fast, and the resources to drive massive, measurable impact on our business trajectory.

What You’ll Do:

• Own the end-to-end development and performance of growth marketing platforms (Meta, TikTok, Reddit, etc.), from strategy and system design through execution, measurement, and optimization for buyer, seller, and rental lines of business.
• Identify, design, and launch new marketing products that leverage automation and AI to expand growth capacity, such as systems that accelerate creative production, campaign creation, and experimentation across channels.
• Build and evolve core platforms for media automation, bidding, budget management, and performance optimization
• Partner with Marketing, Analytics, Data Science, and Engineering to design and deliver high-impact growth capabilities across paid channels (SEM, Paid Social, Video, App)
• Translate business and marketing objectives into measurable product outcomes through experimentation, automation, and improved data quality
• Lead product discovery and agile delivery, shipping incremental value while building durable, extensible marketing infrastructure
• Develop AI-enabled and LLM-first workflows that improve decision-making, efficiency, and learning velocity across media programs
• Communicate priorities, progress, and trade-offs clearly to senior stakeholders and cross-functional partners
• Collaborate with external platform partners (e.g., Google, Meta, Apple) to ensure strong integrations and adoption of best practices
• Ensure operational excellence of growth marketing systems, proactively identifying and resolving issues that impact performance or reliability

How We Work:

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

Who You Are:

• A product-minded growth leader who treats marketing platforms and workflows as scalable software products
• Comfortable operating at the intersection of strategy, data, and technology
• Equally strong in strategic planning and hands-on execution, from defining roadmaps to working through detailed workflows and edge cases
• Highly analytical, with a deep interest in experimentation, attribution, and incremental measurement
• Skilled at translating complex, manual marketing processes into automated, repeatable systems
• A strong collaborator who can influence across teams and align stakeholders around shared growth outcomes
• Naturally curious, outcome-oriented, and comfortable navigating ambiguity in fast-moving environments

What You Bring:

• Bachelor's degree in Engineering, Mathematics, Computer Science, Economics, or a related quantitative field.
• 8+ years of experience in analytics, data enablement, or marketing technology, with a focus on building systems that support marketing teams.
• Demonstrated experience applying AI/LLMs to operational workflows — such as lead processing, data classification, or automated QA.
• Proven experience working in or leading Agile development processes and planning workflows.
• Proficiency with SQL and a strong understanding of data architecture, pipelines, and measurement.

Bonus Points:

• Experience administering Amplitude or similar product analytics platforms.
• Experience building AI-powered automation workflows using tools like n8n, Zapier AI, or similar platforms to streamline marketing operations.
• Experience using AI to scale creative production and campaign automation
• Familiarity with Hightouch, Fivetran, or similar data integration and reverse ETL tools.
• Experience with tagging and tracking implementations — Google Tag Manager, server-side tagging, or similar.
• Exposure to marketing strategies including performance marketing and brand KPIs
• Experience with Meta or other marketing platforms that require feed management or other technical solutions for scaling
• Background in platform governance — defining standards, documentation, and enablement for shared marketing tools.

How We Reward You:

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

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

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

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

Solution Architect

You are the architectural conscience of the platform and the technical translator at the front of every client engagement. Half your week is inside the product — reviewing ADRs, holding integration patterns coherent, and partnering with the data architect and senior dev to keep the architecture honest. The other half is in front of clients — taking real operational complexity and turning it into platform configurations the system can actually execute. You are not a slide architect. You write decisions down, defend them with reasons, and change them when the reasons change. This role only works if you genuinely enjoy both sides. The leverage is in the loop between them — what we learn in deployments shapes the platform, and what the platform enforces shapes how we deploy. You will sit in our headquarters in Dallas, TX on a hybrid schedule. The team is in office on Tuesdays, Wednesdays and Thursdays. 

What experience should you have:

• 10+ years of software engineering experience, with at least 4 explicitly accountable for system architecture — Principal Engineer, Staff Engineer, Solution Architect, or equivalent.
• Production experience with multi-tenant SaaS at meaningful scale. You have personally owned tenant isolation decisions and understand the difference between "we have a tenant_id column" and a defensible isolation model.
• Deep experience with event-driven or event-sourced systems in production. You have opinions about idempotency, schema evolution, and the cost of getting either wrong.
• Working fluency in the modern TypeScript/Node ecosystem (NestJS, Next.js, Drizzle, Zod, Postgres, Kafka/Redpanda, Temporal or comparable). You can read the codebase, make changes when it matters, and produce durable architecture artifacts — ADRs, RFCs, decision documents — that someone six months from now can act on.
• Direct experience leading rooms of senior client or executive stakeholders — consulting, enterprise customer engineering, field architecture, or technical pre-sales. You can translate "the engagement is slipping" into a technical control loop and back again.

Nice to have: 

• Background in professional services, agency operations, or management consulting — you understand engagement economics from the inside.
• Observability experience (OpenTelemetry, distributed tracing) at a depth that lets you design for it, not just consume it.
• Architecture decisions on AI-native or LLM-integrated systems — model gateways, agent orchestration, prompt versioning, or evaluation pipelines.
• Experience in compliance-conscious environments (SOC 2, HIPAA, GDPR) where audit trails and data residency are first-class concerns.
• Public writing, conference talks, or open-source contributions that show how you think.

What you’ll be doing in this role:

• Own the architectural coherence of the platform, ADR backlog, architecture reviews, system shape diagrams, the canonical event envelope, the tenant isolation model. You hold the line on invariants and write down why.
• Define integration patterns for every external system, identity providers, CRMs, project tools, communication systems, AI providers. You decide how we connect, not just whether.
• Build and own client deployment patterns, repeatable playbooks from "first connector" to "first signal" to "first governed action." You author them, run the first few personally, and abstract them into reusable configurations as you go.
• Lead pre-deployment architecture sessions with client technical teams, translating their identity infrastructure, data model, permissions, and compliance posture into a deployment plan the build team can execute.
• Carry the technical narrative externally. You can sit across from a client CTO, walk them through the architecture, defend it under pressure, and adjust where the pressure is legitimate.
• Mentor the founding engineering team on architectural reasoning, not by lecturing, but by showing your work in ADRs, reviews, and the way you make trade-offs visible.

You should not apply if:

• You want to architect from a whiteboard and hand off to others. We write code, we read code, and we ship.
• Client conversations drain you. Half this job is in front of people who don't speak fluent engineering.
• You need consensus before deciding. We move with strong opinions, loosely held — emphasis on strong.

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

Apply today or check out all our opportunities!

#LI-Hybrid

Applicants must be currently authorized to work in the United States on a full-time basis. The company does not anticipate providing sponsorship for employment visa status (e.g., H-1B, TN, etc.) for this individual position.

Summer Internship – IT & Data Analytics Intern (AI/ML Focus) 

Location:                      Irving, TX (On-Site) 
Department:                 Meriton IT & Data Analytics 
Internship Type:          Summer Internship (Full‑Time) 
Reports To:                  Hiring Manager – Meriton Technology & Analytics 

 If you’re looking to make an impact, we’re glad you’re here. At Meriton, you’ll join a team that believes in big ideas, doing great work, and building careers that matter—every step of the way. 

About the Role 

Meriton is seeking a highly motivated IT & Data Analytics Intern with a strong interest in Artificial Intelligence, Machine Learning, and Data Science. This role is ideal for students who enjoy problem‑solving, exploring emerging technologies, and applying analytics to drive insights and operational excellence. 

You’ll work closely with the Meriton technology team to support internal analytics, automation projects, and AI‑driven initiatives that enhance business decision‑making and improve efficiency. 

Key Responsibilities 

AI & Data Analytics 

• Assist in building and evaluating machine learning models, including data preprocessing, feature engineering, and model validation. 

• Use tools such as Cursor, Claude Code, AI Foundry, and similar AI development platforms to prototype automation and analytics solutions. 

• Conduct exploratory data analysis (EDA) on structured and unstructured datasets. 

• Support the creation of dashboards, reports, and visualizations for business stakeholders. 

• Research and recommend AI use cases that align with team strategy and business needs. 

IT & Technical Support 

• Collaborate with IT partners to streamline workflows through scripts, automation, and analytics. 

• Troubleshoot data, system, or integration issues as needed. 

• Document technical processes, workflows, and best practices. 

AI Product & Tooling Initiatives 

• Experiment with generative AI tools to assist with:  

• Query generation 

• Code generation & refactoring 

• Data pipeline development 

• Business insights summarization 

• Workflow automation 

• Partner with team members to test, evaluate, and implement AI‑powered solutions. 

Required Qualifications 

• Currently pursuing a degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or related fields. 

• Foundational coursework or hands‑on experience in:  

• Artificial Intelligence / Machine Learning 

• Data Science methodologies 

• Python, R, SQL, or similar languages 

• Comfortable working with modern AI coding tools such as:  

• Cursor (AI coding environment) 

• Claude Code / Claude AI 

• AI Foundry or other LLM ops platforms 

• Strong analytical thinking, problem‑solving abilities, and attention to detail. 

• Eagerness to learn, experiment, and adopt emerging technologies. 

Preferred Qualifications 

• Experience with:  

• Jupyter Notebooks 

• Pandas, NumPy, Scikit‑Learn, PyTorch or TensorFlow 

• Git / version control 

• Power BI or Tableau 

• Familiarity with API calls, cloud platforms, or DevOps automation. 

• Prior hands‑on project work involving AI agents, ML modeling, or generative AI use cases. 

Meriton is an equal opportunity employer

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption.   

As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. 

About the Role

We are seeking a Storage Architect to design, evaluate, and optimize the high-performance storage architectures powering our AI data centers. In AI training and inference, keeping GPUs fed with data is one of the most critical challenges; even a slight I/O bottleneck can lead to massive inefficiencies. In this role, you will be our resident expert on solid-state storage, focusing heavily on NVMe SSDs, PCIe topologies, and the Linux storage stack. You will ensure our local and distributed storage tiers deliver the microsecond predictable latency and massive throughput required for large language model (LLM) checkpointing, massive datasets, and high-speed data loading pipelines.

RESPONSIBILITIES

• Hardware Qualification: Lead the evaluation, qualification, and lifecycle management of NVMe SSDs (e.g., E1.S, E3.S, U.2/U.3 form factors) from major vendors for use in high-density AI servers and AI Clusters.
• Architecture & Topology: Design and optimize local server storage topologies, managing PCIe lane distribution, minimizing NUMA node crossings, and ensuring optimal data paths between NVMe drives, CPUs, and GPUs.
• Performance Tuning: Conduct rigorous performance profiling and tuning of the Linux kernel storage stack, block layer, and file systems to maximize IOPS and bandwidth while minimizing tail latency (i.e., 99.99%).
• AI Workload Optimization: Optimize storage configurations specifically for AI workloads, including tuning for GPU direct storage to enable direct memory access between NVMe storage and GPU memory, bypassing the CPU.
• Telemetry & Automation: Drive telemetry strategy for the storage subsystem including SSD health monitoring (i.e., wear leveling, DWPD, thermals) and latency anomaly detection. Provide requirements and technical guidance to the automation team building test framework to characterize the storage subsystem in our AI Platforms. Additionally, manage firmware rollouts at scale.
• Troubleshooting: Act as the highest point of escalation for complex, storage-related performance degradation or hardware failures, utilizing tools like nvme-cli, fio, and PCIe analyzers.
• Vendor engagement:  Responsible for working closely with storage vendors, supply chain teams, and our Systems engineering team in the selection and proper deployment of storage components into our AI server fleet. 
• “Futures”:  As a storage architect you will be responsible for scoping the industry for new storage technologies that will give us an advantage on future AI Server designs.
• Storage Control and Dataplane Definition: Storage expert in charge of the definition and architecture of our external storage Data plane and Control plane solutions using leading vendor solutions such as Weka, VAST, Pure Storage, and others. 

REQUIREMENTS

• Bachelor’s, master’s degree or equivalent experience in Information Technology, Computer Science, Computer engineering, or a related field.
• 12+ years of hands-on experience in storage engineering and architecture and 5+ years supporting storage solutions on AI or Hyperscale Datacenters.
• Deep NVMe/PCIe Knowledge: Expert-level understanding of the NVMe protocol, PCIe architecture (Gen 5/Gen 6), NAND flash characteristics, and SSD controller behavior (garbage collection, wear leveling, write amplification).
• Linux Storage Stack: Deep operational knowledge of Linux internals, specifically the block layer, I/O schedulers, direct I/O, and modern local file systems (XFS, ext4, ZFS).
• Performance Profiling: Extensive hands-on experience with benchmarking and profiling tools such as fio, blktrace, iostat, and perf to simulate AI workloads and isolate bottlenecks.
• Scripting: Strong programming skills in Python, JSON, Bash or related scripting languages for building validation scripts, automation pipelines, and interacting with REST APIs.
• Root Cause Analysis: Proven track record of debugging complex hardware/software interactions, including kernel panics, PCIe bus errors, and SSD firmware bugs.
• Telemetry: Point of contact responsible for defining the telemetry sensors and rules to activate alerts in our Datacenter fleet monitoring frameworks.

DIFFERENTIATORS

• GPU Direct Storage (GDS): Experience implementing, testing, and troubleshooting GDS or similar technology for direct GPU-to-storage communication.
• NVMe over Fabrics (NVMe-oF): Experience designing or managing NVMe-oF (RoCEv2 or TCP) deployments to disaggregate storage without sacrificing local-NVMe performance.
• Storage Software Development: Experience with the Storage Performance Development Kit (SPDK) or developing user-space storage applications.
• Distributed AI File Systems: Familiarity with high-performance parallel file systems commonly used in AI/HPC clusters (e.g., Weka, VAST Data, Lustre, DAOS, or DDN).
• Emerging Tech: Knowledge of Compute Express Link (CXL) and its implications for future memory and storage tiering in AI servers.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy, productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation, just let us know.

Forthea is seeking a Senior Software Developer to join our team and help build and evolve our proprietary marketing technology platform, and internal tools. In close partnership with our analysts, account teams, and clients. You will engage across the full software development lifecycle, focusing on creating scalable solutions that deliver data-driven insights for our team and enterprise clients. 

This role based in Houston, Texas with a hybrid schedule. 

Key Responsibilities

• Design and develop robust, scalable backend services using Python and Node.js, primarily data analytics apps and dashboards 
• Design, build and manage Microsoft SQL Server and PostgreSQL databases that support operational and analytics workloads 
• Build responsive, intuitive user interfaces using React.js/Next.js, HTML, and CSS.Also, build and maintaindashboards in PowerBI/PowerApps. 
• Build and maintain Azure-based and multi‑cloud data pipelines and integrations. 
• Leverage cloud platform services in Azure (and sometimes GCP and AWS) for infrastructure and data storage. 
• Implement scalable APIs, authentication, RBAC, and secure multi-tenant architecture. 
• Implement AI and ML models in collaboration with data science. 
• Participateand lead code reviews, architectural discussions, and agile workflows. 
• Improve performance, reliability, testing, and code quality across the stack. 
• Collaborate with internal stakeholders to translate business and analytics needs into production-ready software. 

Qualifications

• Bachelor’s degree in Computer Science or related field (or equivalent professional experience). 
• 7-12+ years of experience developing production software and architecting scalable systems.
• Experience with Azure and Microsoft SQL Server.
• Strong skills in SQL, Python, JavaScript/TypeScript, React/Next.js, Docker 
• Experience building 1-2 full‑stack enterprise applications similar to: multi‑tenant analytics apps/dashboards, unified data warehouse + pipelines, business workflow / planning / automation tools
• Forward-deployed engineering experience – comfort embedding with non-technical stakeholders, translating ambiguous business problems into working software, and iterating quickly with users in the loop. Equally at home in a stakeholder meeting and a code review. 
• Proven experience building API integrations, data pipelines and managing production-scale constraints. 
• Strong experience with modern frontend frameworks (React.js required) 
• Proven experience in AI coding, automation & code optimization techniques. 

Nice to Have

• Marketing analytics, digital marketing or ad tech background
• Experience with Google Ads and Google Analytics 4 APIs
• Experience with PowerBI, NinjaCator other BI software
• Experience with AI/LLM model deployment and monitoring 
• Familiarity with dbt, Airflow/Prefect/Dagster, Terraform/Bicep 

• Work alongside the sales team as the technical and domain expert of a customer-facing sales team to help Customers understand the value of Okta’s solutions
• Understand customer challenges and business issues and provide product demonstrations to align our solutions with customer needs
• Answer product feature and technical questions from customers, partners and Okta colleagues
• Plan and deliver Proof Of Concepts for customers who have more complex use cases, collaborating with other Okta engineering teams as needed
• Provide feedback to product management about product enhancements that can address customer needs and provide additional value
• Share and learn best practices and re-usable assets with other Solutions Engineers to enhance the quality and efficiency of the team
• Stay current on competitive analysis and market differentiation
• Support marketing events including executive briefings, conferences, user groups, and trade shows
• At times, be asked to learn and lead your team as a subject matter expert (SME) with various product solutions and/or competitive knowledge

• Identity and Access Management (IAM) Expertise:
  • 5+ years of pre-sales engineering experience in IAM.
  • Strong understanding of IAM concepts, including OAuth 2.0, OIDC, and SAML.
  • Experience with lifecycle management, role-based access control (RBAC), and provisioning/deprovisioning.
• Technical Proficiency:
  • Hands-on experience in one or more of the following development areas: web (JavaScript, HTML, frontend frameworks), mobile (iOS, Android), backend (Java, C#, Node.js, Python, PHP, Ruby), or IP-based real-time communications.
  • Experience working with REST APIs, API Gateways, and SDKs.
  • Deployed applications on cloud platforms (AWS, Azure, GCP, Vercel, etc.).
  • Understanding of core security concerns in applications (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Customer Engagement & Communication:
  • Passion for serving customers, demonstrated in a customer-facing role (ideally pre-sales, but consulting or support also valued).
  • Ability to quickly communicate complex technical ideas, including on-the-fly whiteboard explanations.
  • Elite communication skills, confident in dispensing knowledge and presenting to highly skilled and experienced audiences.
• Strategic & Organizational Skills:
  • Territory management skills, including pipeline building and collaboration with sales counterparts for execution excellence.
  • Diagramming experience for user journey flows, complex architecture diagrams, etc.
• Education & Travel:
  • Bachelor's degree in Engineering, Computer Science, MIS, or a comparable field is preferred.
  • Typically 25% travel.

• Experience with Auth0, Auth0 FGA, or OpenFGA.
• Hands-on experience with Generative AI or LLM technology (LangChain, GenKit, LlamaIndex, etc.).
• Experience integrating with microservices, data lakes, or customer data platforms.
• Developed ReBAC or Fine-Grained Authorization models.

LI#LS

P13976_3382181

Position Summary 

The AI Implementation Lead is the Data Team's hands-on builder, deploying AI solutions where Data Team work meets the business. The ideas are coming faster than the implementation; this role exists to close that gap. The work spans agents, plug-ins, applications, integrations, and whatever form the use case calls for. You will scale IEM's existing AI-native infrastructure (Claude Code in daily use, multiple local MCP servers wired to production data systems, an internal multi-agent portfolio across analytics and operations, and an established AI-assisted development culture) from a director-led prototype into a Data Team production platform. This role works in coordination with IEM's Enterprise AI team, which sets enterprise AI strategy and policy; the AI Implementation Lead applies that framework to the solutions you build rather than authoring it. This is the first dedicated AI engineer on the Data Team, offered with track flexibility as either a principal individual contributor or a hands-on people leader managing 2 to 4 engineers as the function scales. 

Ideal Candidate Profile 

You have 5+ years of software engineering experience with hands-on AI and agentic system development. You have built agents, plug-ins, or AI applications that real organizations have used, not coursework or POCs. You think first about the use case and the user, then about the system, then about the model. You write production code yourself and pride yourself on building solutions that actually get adopted. You partner naturally with non-technical stakeholders, translating fuzzy AI ideas into deployed solutions and surfacing the questions behind the questions. You are comfortable working with modern agent tooling such as Claude Code, MCP, LangGraph, Mastra, or Pydantic AI, and you treat AI-assisted development as a daily multiplier for engineering, governance, documentation, and adoption work. You have a working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, and model risk. You are excited about defining a new function inside a Data Team that already has the foundation in place. 

Key Responsibilities 

• AI Solution Deployment: Build agents, plug-ins, applications, and integrations as use cases emerge from the Data Team's work and the partners it supports 

• Agent Development: Design and develop custom agents and agent harnesses, including MCP servers, orchestration logic, prompt engineering, and eval scaffolding. Agents are the centerpiece of the function. 

• Vendor AI Extension: Build on top of Salesforce Einstein, Tableau Pulse-AI, ETQ-AI, Fellow.ai, and the data-platform AI capabilities IEM brings on next 

• Solution Discovery: Run intake conversations with internal partners to surface high-value AI use cases, pressure-test feasibility against existing tooling, and prioritize the implementation roadmap 

• AI Governance and Security: Build with data leakage prevention, prompt injection mitigation, and model risk as first-class concerns, in alignment with IEM's broader AI policy framework 

• Adoption and Enablement: Train users, write documentation, and run enablement programs so the AI solutions you deliver get used by the people they were built for 

• Cross-Functional Delivery: Coordinate with the internal teams the Data Team serves through build and rollout, keeping stakeholders aligned as solutions move from idea to deployment 

• Documentation: Maintain design notes, integration docs, and runbooks for the AI solutions you deliver so the team can support and extend your work 

• AI-Assisted Development: Use modern AI coding tools such as Claude Code and Cursor as part of your daily practice, setting the standard for the rest of the Data Team 

• Team Leadership: If filling the people-leader track, hire, coach, and grow a small team of AI engineers as the function scales 

• Engineering Standards: Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to evolving the team's AI engineering conventions 

• Continuous Learning: Stay current with the rapidly evolving AI tooling landscape, bringing ideas back to the team and helping raise the bar over time 

Qualifications 

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related technical field, or equivalent professional experience 

• 5+ years of software engineering experience, with at least 2 years building AI or agentic systems used by a real organization 

• Direct experience building agents, plug-ins, or AI applications used in a real working environment, not coursework, prototypes, or POCs 

• Hands-on experience with modern agent tooling such as Claude Code, MCP (Model Context Protocol), LangGraph, Mastra, Pydantic AI, or comparable frameworks 

• Strong programming skills in Python, including async patterns, type hints, and testing 

• Working knowledge of large language model APIs (Anthropic, OpenAI, or comparable), with hands-on prompt engineering, evaluation, and iteration on production prompts 

• Working knowledge of AI governance and security including prompt injection mitigation, data leakage prevention, model risk, and vendor review 

• Track record of driving adoption of AI or technical solutions with users outside the immediate engineering team 

• Strong written and verbal communication skills with the ability to explain technical AI concepts to non-technical stakeholders and to gather requirements from business users 

• Comfortable with Git version control, code review, and modern engineering workflows including CI/CD 

• Self-motivated with the ability to work independently in a remote environment while collaborating effectively across a distributed team 

• Preferred: People leadership experience including managing 2 to 5 engineers and running technical hiring 

• Preferred: Experience extending vendor AI platforms in the data and analytics ecosystem (Salesforce Einstein, Tableau Pulse-AI, BI vendors, vertical SaaS) 

• Preferred: Mid-market or operational and manufacturing context, vs. a purely big-tech background 

• Preferred: Familiarity with manufacturing systems such as Infor Syteline, ERP platforms, or shop floor and quality systems 

Location 

Fully remote within the United States. May require up to 10% travel to IEM facilities for team collaboration, project kickoffs, and stakeholder meetings. 

Position Overview:

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

Responsibilities:

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

Qualifications:

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

Bonus Points

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

Perks & Benefits:

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

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

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

Datadog’s CodeGen team builds systems that use AI to read, understand, generate, and safely change real code — powering automated fixes, CI/PR automation, agentic remediation, and Infrastructure-as-Code workflows. The team ties code understanding to observability so assistants can explain problems and produce safe, auditable code changes.

We’re a new team building AI-assisted tools to make Datadog developers more effective, by autonomously generating tests, fixing bugs, and improving performance.

We’re looking for a product-minded generalist to help us quickly define and ship products that make all Datadog customers 10x developers.

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

What You’ll Do: 

• Lead a team of engineers responsible for building production systems that enable code understanding and automated code changes — from parsers and telemetry ingestion to model serving, evaluation, and PR automation.
• Drive technical direction and execution: set a clear roadmap, prioritize work, remove blockers, and raise quality and reliability bar for codegen features (safety, correctness, performance).
• Partner with product, applied research, infra/SRE, security, and other engineering teams to ship end-to-end experiences that safely apply model outputs (PRs, CI checks, automated apply flows).
• Build and maintain robust evaluation and monitoring pipelines (offline and online) to measure model quality, drift, and downstream correctness of code changes.
• Own hiring, performance development, 1:1s, and career growth for your reports; grow a high-performing, inclusive team.
• Be accountable for production readiness: on-call expectations, postmortems, SLIs/SLOs, and operational playbooks for codegen services.
• Maintain engineering rigor around data pipelines, model inputs, determinism, reproducibility, and reproducible CI/CD for model + infra changes.
  
  

Who You Are: 

• Proven experience in software engineering and applied science, with a focus on engineering LLM-based systems in production
• Demonstrated experience managing small teams of software engineers and/or applied scientists, with a track record of delivering high-quality products
• Strong software development skills and proficiency in Python and Go
• Strong understanding of machine learning theory, statistics, and fundamentals
• Excellent communication abilities to convey complex technical concepts clearly
• A collaborative mindset and proven experience in working in cross-functional teams
• A proactive approach with a passion for continuous learning and innovation
• Demonstrated ability to use AI coding tools in day-to-day workflows and validate, critique, and refine AI-generated output
• You’re motivated to push the boundaries of how AI can improve software engineering best practices and contribute to building AI-enabled products

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

Benefits & Growth:

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits
  
  

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

#LI-Hybrid

We're looking for a Director of Enterprise AI to scale our enterprise AI acceleration program from a small founding team into a full delivery, platform, and enablement organization. You'll lead applied AI transformation across every major business function - serving 600+ engineers and 2,000+ employees at one of the largest real estate technology platforms in the U.S.

This isn't a greenfield experiment. The model is validated: production agentic workflows are delivering up to 80% effort reduction, a backlog of project submissions spans every business unit, and three AI Solutions Engineers are already shipping. The challenge is turning early traction into a repeatable, scalable engine that delivers on our executive mandate for transformational AI-driven outcomes.

Top Reasons to Apply:

1. Lead a Top Company Priority: The Executive Leadership Team (ELT) has made enterprise AI transformation a top company priority and is investing a multi-million-dollar annual budget to back it. You will serve as the primary strategic partner to leaders in Revenue, Marketing, HR, and Finance, with the visibility and authority to drive true organizational change.
2. Impact a Massive Technological Ecosystem: Your leadership will directly influence the productivity and tooling of over 600 engineers and 2,000 total employees at one of the largest real estate platforms in the country. By standing up centralized AI infrastructure and governance, you will touch every corner of a large-scale digital marketplace.
3. Build and Lead an Elite Engineering Team: You will have the autonomy to recruit, develop, and retain a team of 15–18 specialists, including AI Solutions Engineers and Platform Infrastructure experts. As a tech evangelist, you will shape the careers of this new organization while establishing yourself as a key leader in the fast-emerging discipline of applied AI.

What You'll Do

• Build and lead the organization. Scale the team from ~4 to ~15–18 people across three functions: AI Solutions Engineering (domain-aligned delivery pods serving Revenue, Marketing, Consumer, Corporate, and executive leadership), AI Platform & Infrastructure (LLM gateway, orchestration, governance, developer AI tooling), and AI Enablement & Programs. Recruit, develop, and retain top talent in a fast-emerging discipline.
• Drive delivery at scale. Own the end-to-end lifecycle for AI projects - from workshop-driven intake through build, handoff, support, and post-deployment measurement. Manage a portfolio of concurrent agentic workflow builds across business domains with established sprint cadences, capacity planning, and a clear ownership model where requesting teams maintain production systems after handoff.
• Stand up the AI platform. Build the infrastructure layer that makes delivery scalable and governed: centralized LLM gateway and model routing, orchestration platform hardening, credential management and audit logging across dozens of cloud accounts, AI tool governance (acceptable use policy, default-block enforcement, shadow AI mitigation), and the technical roadmap for our internal AI developer tooling.
• Scale enablement and adoption. Grow the program that  initiated our current backlog, operationalize an AI champions network across business units, expand AI training curricula beyond three foundational courses with 650+ completions, and own executive-facing reporting and communications including monthly tech reviews and steering committee updates.
• Partner across the business. Serve as the primary enterprise AI partner to leaders in Revenue, Marketing, Consumer, HR, Finance, Legal, and Corporate Communications. Collaborate with Platform Engineering, Operations, and Security on shared infrastructure and compliance. Manage strategic vendor relationships across LLM providers and AI SaaS platforms. Present validated ROI and strategy to C-suite leadership.
• Own the budget. Manage a multi-million-dollar annual AI tooling portfolio with growth projected as adoption scales. Build business cases grounded in pre/post-implementation measurement, drive cost optimization across consumption-based pricing models, and demonstrate ROI through hours saved, FTEs avoided, and cycle-time reduction.

Who You Are

You're a builder-operator who has scaled an internal AI, ML, or automation practice from early traction to organizational maturity. You understand that enterprise AI transformation requires earning trust with business leaders, delivering measurable outcomes fast enough to maintain momentum, and building platforms and processes that make the 50th solution as efficient as the 5th.

What You'll Bring

• 10+ years in engineering, AI/ML, or technology leadership with experience building and shipping AI-powered products or internal platforms
• 5+ years leading technical teams, with proven ability to scale organizations from 5 to 20+ people
• Deep applied AI/ML expertise: large language models, agentic frameworks, prompt engineering, orchestration platforms
• Strong understanding of enterprise AI infrastructure: LLM gateways, model routing, cost attribution, multi-provider strategies (Anthropic, OpenAI, Google, AWS Bedrock)
• Demonstrated success delivering AI business solutions with measurable ROI in production - not just proofs of concept
• Experience establishing intake, prioritization, and portfolio management for an internal platform or services team
• Track record driving AI adoption across non-technical functions (sales, marketing, finance, HR)
• Strong executive presence with ability to translate AI capabilities into business impact for C-suite audiences

Bonus Points

• Experience building or scaling an AI Center of Excellence or enterprise automation practice
• Hands-on with orchestration platforms (n8n) and LLM gateway tools (Portkey, Bedrock, VertexAI)
• Experience managing enterprise AI governance - acceptable use policies, vendor security review, shadow AI mitigation
• Background in real estate technology, digital marketplaces, or media companies
• Experience within a multi-entity corporate structure with shared governance and technology standards

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

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.

Strategic Account Executive at Unframe 

Location: Dallas, TX (Remote)

About Unframe

Unframe is an AI-first startup helping the world’s largest enterprises bring LLM-powered applications to life in days - not months. We combine the speed of a product company with the flexibility of a consultancy, helping customers move from idea to deployed AI systems faster than anyone else in the market.

Backed by Bessemer, Craft, and TLV Partners with $50M in Series A funding, we’re building a fast-growing, revenue-generating company working with Fortune 500 customers globally

About the role:

We’re looking for Strategic AEs to join our team and help drive our go-to-market motion. You’ll play a pivotal role in landing our first major customers, shaping our sales playbook, and partnering directly with the VP of Sales and founder to build a high-performance revenue engine.

What you’ll do:

• Lead complex, multi-stakeholder sales cycles into highly regulated industries (FinServ, Healthcare, Manufacturing, Retail) where our on-premises capabilities provide a competitive advantage.
• Build pipeline from zero in an early-stage environment—identify and win strategic enterprise accounts with no hand-raisers or established playbook.
• Translate complex AI/ML capabilities into compelling business outcomes for C-suite stakeholders, positioning Unframe for companies seeking to “buy vs. build” AI capabilities.
• Architect multi-year expansion strategies and build deep relationships across IT, product, and innovation teams.
• Collaborate directly with the VP of Sales and founders to refine the enterprise strategy and influence the product roadmap

What we are looking for:

• 8+ years enterprise software sales with consistent quota over-achievement at Fortune 500 companies
• Proven track record closing $1M+ ACV deals in early-stage environments
• Experience selling complex technical solutions to CIO organizations
• Background in AI/ML platforms, digital transformation, enterprise data platforms, or management consulting
• Entrepreneurial mindset, you thrive in ambiguity, own outcomes, and build from scratch
• Success in highly regulated industries with complex compliance requirements

Nice to have:

• Regulated industry experience, early-stage success

Why join us?

• Compensation is uncapped with aggressive accelerators. At $1M+ ACV deal sizes, this structure rewards over-performance on meaningful deals.
• Our VP of Sales joined Unframe for three reasons: a founder with a proven exit, tier-one investors, and a product that's genuinely different and defensible. The GTM approach backs that up. Buyers get a free POC, tailored to their actual use case, delivered in days. No data sharing, no upfront cost, no six-month consulting engagement before anyone sees value.
• You'll work directly with the VP of Sales and founders, shape GTM strategy, close the deals that define our market position, and hold equity in a company with real institutional backing and momentum.
• We hire with intention. If you thrive in a performance culture with real backing behind you, you will win here.

Ready to Build the Future?

If this opportunity excites you, apply now!

WHO WE ARE:  

Aviatrix® is pioneering the Cloud Native Security Fabric — the architecture the Containment Era requires. The Cloud Native Security Fabric governs every workload communication path across every cloud, every VPC, every Kubernetes cluster, and every serverless function, from a single policy plane. One rule. Universal propagation. Enforced at the workload, not at a chokepoint. Trusted by more than 500 of the world's leading enterprises. For more information, visit aviatrix.ai. 

ABOUT THE ROLE:

We are looking for a seasoned Senior DevOps Engineer to join our team and take ownership of our CI/CD ecosystem, cloud infrastructure automation, and developer platform. This is a journey-level, fully qualified position where you will independently design and drive solutions across complex, diverse projects — bringing both technical depth and collaborative leadership to everything you do.

You will work at the intersection of infrastructure engineering, AI-driven tooling, and modern cloud operations, partnering closely with development and TechOps teams to accelerate delivery cycles and ensure the reliability, security, and scalability of our systems.

Key Responsibilities:

• Design, implement, and maintain robust, scalable CI/CD pipelines across multiple environments, applying industry best practices to optimize delivery speed and system reliability.
• Automate the provisioning and lifecycle management of cloud resources (VMs, EC2, and more) using Infrastructure as Code — with Terraform as the primary tool — ensuring consistent, repeatable, and auditable deployments.
• Manage and optimize cloud networking configurations, supporting complex developer workflows and infrastructure scalability requirements.
• Integrate AI and large language model (LLM) capabilities into DevOps tooling and developer workflows, including leveraging Model Context Protocol (MCP) for intelligent automation and context-aware pipeline tooling.
• Collaborate with engineering and operations teams to identify bottlenecks, reduce toil, and continuously improve the release process.
• Apply security best practices to deployment pipelines and cloud infrastructure, proactively identifying and remediating vulnerabilities.
• Monitor, observe, and optimize infrastructure performance, taking initiative to resolve complex issues before they impact customers.
• Evaluate emerging tools and technologies — particularly in the AI/LLM space — and provide guidance on how to incorporate them effectively into organization workflows.
• Communicate technical strategies and recommendations clearly to senior internal and external stakeholders, adapting your approach to diverse audiences and often driving alignment on difficult decisions.

Qualifications:

• 5+ years of related DevOps/infrastructure engineering experience (or 3 years with a Master’s degree or equivalent experience).
• Deep, hands-on expertise with Terraform for infrastructure as code — this is a must-have.
• Hands-on, production-level experience building and deploying AI/LLM-integrated systems — this is a must-have. You have worked directly with large language model APIs, designed AI-assisted workflows, and shipped real tooling powered by LLMs in an engineering or DevOps context.
• Hands-on, production-level experience with Model Context Protocol (MCP) — this is a must-have. You have implemented MCP-based integrations to build intelligent, context-aware developer tools, automation pipelines, or agent workflows, not just read about it.
• Strong command of CI/CD platforms (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar).
• Experience provisioning and managing cloud infrastructure on AWS, GCP, or Azure (EC2, VMs, VPCs, IAM, etc.).
• Solid understanding of cloud networking concepts (VPCs, subnets, security groups, load balancers, DNS).
• Demonstrated ability to work independently, resolve ambiguous and complex problems, and deliver high-quality solutions with minimal supervision.

Preferred:

• Experience with Kubernetes, Helm, or container orchestration platforms.
• Familiarity with GitOps workflows (e.g., ArgoCD, Flux).
• Scripting proficiency in Python, Bash, or Go.
• Knowledge of observability tooling (Datadog, Prometheus/Grafana, OpenTelemetry).
• Experience building internal developer platforms (IDPs).

US Pay Range:

The US National annual base salary range for this full-time position is $131,500-$154,700 + benefits + 401(k) match + equity. The pay range is determined by the role, work location, job-related skills, level, experience and relevant education. [Certain roles are eligible to earn sales commission, depending on the terms of the applicable plan.] The range displayed is the minimum and maximum target base salary and is applicable only for new hires for the listed position located in the US. Your Talent Advisor can share more details regarding salary ranges, benefits, and equity for your location during the hiring process.

Role Description

• As a Senior Value Engineer specializing in the Energy Sector, you are pushing the envelope in solving business-critical problems for our strategic customers across utilities, oil & gas, and renewable energy. You will be working with our most strategic energy clients, understanding their unique objectives—from grid modernization and asset lifecycle management to navigating the energy transition—and building Celonis solutions using the world’s leading Process Intelligence (PI) platform in combination with the largest AI and ML technology partners, such as Microsoft, OpenAI, and Databricks.
  
  With Celonis’ Process Intelligence (PI) platform, we feed operational context to AI so it understands our customers’ complex business realities (bridging IT and OT systems) and enables them to industrialize AI, unlocking real ROI on deployments at scale. You will prototype these solutions, demonstrate their value to Energy Executives, and ensure successful implementation, adoption, and value realization in order to increase the footprint of Celonis across the global energy landscape.

Key Responsibilities:

• AI Discovery & Solutioning: Understand energy customers' AI strategy and sector-specific challenges (e.g., predictive maintenance, outage management, supply chain resilience, or regulatory compliance). As a Celonis product and energy domain expert, find the best problem-solution fit and translate customer requirements into innovative solutions that move the needle.

• Pre- and Post-Sales Execution: Actively drive the full customer lifecycle. Lead technical discovery and capability demonstrations during the pre-sales cycle, and remain deeply involved post-sale to guide implementation, ensuring agreed value and adoption thresholds are successfully reached.

• Hackathons & Prototyping: Think out of the box, have a „can-do“ attitude, and don’t shy away from complex operational problems. Leverage cutting-edge AI technologies to rapidly build creative prototypes in customer hackathons, solving critical pain points specific to power generation, transmission, and O&G operations.

• Agentic Process Transformation: Support our customers in achieving real ROI out of AI deployments at scale, enabling a fundamental shift from traditional, rule-based automation to the use of autonomous AI agents empowered by our Celonis Process Intelligence Platform (e.g., intelligent field service routing or autonomous procurement).

• Proof Projects: End-to-end execution of business-critical Proof-of-Value projects. This includes architecting and delivering secure, scalable LLM/agent systems with RAG, tools, and guardrails, while seamlessly integrating with enterprise data, identity protocols, and stringent energy compliance frameworks.

• Domain & Industry Leadership: Serve as the internal and external technical subject matter expert for the Energy vertical, scaling knowledge across the organization regarding utilities, upstream/downstream oil & gas, and renewable energy processes.

Requirements:

• 5+ years of experience leading technical pre-sales and post-sales engagements specifically within the Energy sector (Utilities, Oil & Gas, and/or Renewables). This includes defining AI roadmaps, building compelling ROI/TCO business cases, and guiding technical implementations through to value realization.

• Deep understanding of business processes native to the Energy sector (such as Asset Management, Field Services, Supply Chain, Capital Projects, or Trading) with the ability to translate high-level business needs into specific, impactful AI use cases.

• Expertise in generative AI techniques like RAG, few-shot learning, prompt engineering, multi-agent orchestration, multimodal understanding, or fine-tuning used to build high-impact use cases (e.g., automated processing of engineering documents, regulatory filings, or intelligent diagnostic chatbots).

• Solid knowledge of Python and common ML libraries (such as LangChain, pandas, pydantic, sklearn, PyTorch) as well as data engineering tools and technologies relevant to handling large-scale industrial data.

• Strong presentation skills to both internal and external stakeholders (including C-level executives and operational leaders), whether leading technical whiteboarding sessions or formal readouts and demos.

• Bachelor’s Degree required; Master's Degree in computer science, engineering, mathematics, or related fields, or equivalent work experience preferred.

Nice to have (big plus):

• Hands-on experience building agentic systems using LLM orchestration, RAG, function calling, and prompt engineering, while ensuring safety through rigorous evaluations and guardrails suited for highly regulated industries.

• Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.

• Experience in deploying and monitoring models at scale across major cloud platforms (AWS Bedrock, Azure AI, GCP Vertex) and familiarity with IT/OT convergence and industrial IoT data structures.

Visa sponsorship is not offered for this role.
Learn More about Value Engineering at Celonis Here

ICON is looking for a pragmatic builder who has made the leap from traditional software engineering into the emerging world of agentic AI development to join our Government Technology team. As an AI Software Engineer at ICON, you will be responsible for designing and shipping AI-powered tools, workflows, and autonomous agents that accelerate ICON's construction technology platform. This role reports to the Senior Director, Defense Technology Programs and is a full-time on-site position based on our Austin, TX campus.
 

RESPONSIBILITIES

• Design and build agentic AI systems that automate complex, multi-step workflows across ICON's software platform
• Develop LLM-powered features and products using state-of-the-art foundation models and APIs (e.g. Anthropic, OpenAI)
• Architect and implement multi-agent pipelines, tool-use systems, and Model Context Protocol (MCP) integrations
• Build robust RAG systems including document ingestion, chunking strategies, embedding pipelines, and vector retrieval
• Collaborate with software and domain teams to identify high-leverage AI automation opportunities and translate them into shipped products
• Own the full development lifecycle of AI features: prototyping, evaluation, deployment, and iteration
• Serve as a technical resource and informal mentor on agentic AI best practices across the engineering organization
• Stay at the leading edge of the agentic AI landscape and bring emerging techniques into production

MINIMUM QUALIFICATIONS

• 8+ years of professional software engineering experience with a strong foundation in backend or full-stack development
• Demonstrated experience building and shipping production-grade products using LLMs and agentic frameworks
• Proficiency in TypeScript and/or Python
• Deep understanding of prompt engineering, context management, and LLM reasoning patterns
• Experience with tool-use, function calling, and agent orchestration (e.g. LangChain, LlamaIndex, Claude Code, or custom implementations)
• Proficiency in the design and execution of structured evals to measure and improve AI system performance
• Strong communication skills and comfort working cross-functionally with both technical teams and non-technical stakeholders
• Experience working in or alongside government, defense, or regulated environments
• Strong experience working with code generation agents (e.g. Claude Code, Cursor, Devin-style systems)

PREFERRED SKILLS AND EXPERIENCE

• Experience with MCP (Model Context Protocol) server development and integration
• Familiarity with vector databases (e.g. pgvector, Pinecone, Weaviate)
• Experience with fine-tuning, RLHF, or model evaluation pipelines
• Strong background in ML fundamentals: embeddings, transformers, attention mechanisms
• Exposure to structured output generation and LLM-based data extraction
• Familiarity with AWS and serverless infrastructure for AI workloads
• Interest or background in the AEC (architecture, engineering, construction) industry

Realtor.com is looking for a Sr. AI Solutions Engineer to turn business challenges into practical AI solutions. You will collaborate with teams to uncover pain points, build rapid prototypes, and coach colleagues so they can extend what you start. Your work will span three of our internal AI tracks: Assist (knowledge copilots), Automate (workflow agents), and Compose (low-code apps). If you thrive on analyzing problems, building hands-on solutions, and teaching others, this role is for you. Join us as our newest Sr. AI Solutions Engineer, and help change the world of real estate, one home at a time.

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

Top Reasons to Apply:

• Pioneer a first-of-its-kind role at Realtor.com – Shape the future of AI developer productivity by building the foundational systems, tools, and workflows from the ground up.
• Drive AI adoption and learning across the company – Help design, teach, and scale AI best practices that will empower teams across Product, Engineering, Marekting, Finance, Ops, & Revenue.
• Make a big impact while leveling up your own skills – Contribute meaningfully to Realtor.com's AI strategy and enjoy continuous learning opportunities in one of tech’s fastest-moving spaces.

What You'll Do:

• Discover and design - Interview stakeholders, map workflows, estimate impact, and choose whether Assist, Automate, or Compose is the right fit, using discovery templates in Miro.
• Prototype Assist solutions - Stand up knowledge copilots with Glean Search and Assistant, Gemini for Workspace, etc. including prompt libraries and retrieval configs.
• Develop/Automate solutions - Build agentic workflows with Google ADK, LangChain, CrewAI, n8n, etc. and harden the winners into production.
• Create Compose solutions - Create fullstack AI applications with integrations across various internal tools. Own and maintain the full lifecycle of these applications, from frontend and backend development, production implementation, cloud resource management, and hand off runbooks to business owners.
• Teach and evangelize - Produce AI flight-school decks, hands-on labs, prompt cheat sheets, and run office hours so PMs, analysts, and ops teams can build confidently.
• Measure and iterate - Track adoption, demo outcomes at town halls, and feed lessons into the next solution cycle.

What You'll Bring:

• Experienced in stakeholder discovery, process mapping, and turning requirements into clear AI use cases.
• Hands-on with Assist and knowledge retrieval tools such as Glean, Gemini, Windsurf, or Claude Code and be able to fine-tune retrieval settings.
• Comfortable with Automate tooling like Glean Agents, Vertex AI and can chain steps across APIs.
• Experience with cloud-based development, deployment, and architecture, including tools and technologies such as CircleCI, Kafka, Kubernetes, GraphQL, MySQL, PostgreSQL, AWS services (EC2, S3, RDS), and GCP
• Familiarity with CI/CD pipelines, automated testing, and deployment best practices
• Exposure to monitoring systems, incident alerting, and service reliability practices to support SLAs
• Skilled at crafting and refining LLM prompts, context engineering, MCPs, A2A protocol, Human-in-the-loop evaluation and feedback, and explaining basics to newcomers.
• 3-5 years of experience with data and APIs (SQL, REST, JSON, CSV), and able to integrate them into AI workflows.
• Bachelor's degree in Computer Science/Engineering or related field or related experience
• Natural educator who has led workshops or produced self-serve guides that stick.
• Iterative by nature, quick to test, learn, and refine without needing a formal CS degree.

How Success is Measured in Year 1:

• Four Assist-track prompt libraries are relied on by at least 70 percent of their target users.
• Three Automate-track agents you built run daily and save teammates at least fifteen minutes each week.
• Product managers can create working Compose-track prototypes in under a day using the starter kit and templates you delivered.

How We Work:

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

How We Reward You:

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

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

Do the best work of your life at Realtor.com®

Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. People are our foundation—the core that drives us passionately forward. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.

Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.

We are seeking a Senior Software Engineer with deep expertise in web frontend development to join our AI Integrations team. You will be responsible for building and scaling the web experiences - working at the intersection of AI and consumer-facing products.

The AI Integrations Team is a cross-functional squad that builds the future of how Realtor.com integrates AI across its products. This includes ownership over projects such as:

• Realtor.com ChatGPT AppSDK
• AI-Powered Home Search on Realtor.com web and native applications
• Shared Infrastructure & Platform for all Engineer Teams to build 

Technical Leadership

• Design and implement scalable, performant frontend architectures for AI-powered features
• Build embedded webviews that run across desktop, mobile web, iOS, and Android
• Make critical technical decisions about frameworks, libraries, and architectural patterns
• Drive best practices for React, TypeScript, GraphQL, and modern web development
• Participate in technical design reviews and architecture discussions
• Contribute to team processes, standards, and engineering culture
• Collaborate with iOS and Android engineers to ensure consistent experiences
• Partner with backend engineers to surface AI outputs effectively in the UI

What you'll bring: 

• 5+ years of professional frontend development experience
• Bachelor’s degree or equivalent experience
• Expert-level proficiency in React and modern JavaScript/TypeScript
• Deep understanding of state management patterns (Redux, Zustand)
• Strong CSS skills including responsive design, animations, and modern layout techniques
• Experience with styled-components or CSS-in-JS libraries
• Proficiency with GraphQL clients
• Experience building real-time, interactive web applications
• Understanding of Web APIs (WebSocket, Service Workers, localStorage, etc.)
• Knowledge of performance optimization techniques (lazy loading, caching)
• Understanding of monitoring and observability tools (New Relic, Datadog)

AI Integration Experience (Bonus)

• Experience building UI for AI-powered features or LLM applications
• Understanding of prompt engineering and conversational UI patterns
• Experience with streaming responses and progressive rendering of AI outputs
• Experience with web-animation libraries and interaction design (motion.dev)

What you'll do: 

Technical Excellence

• Independently design and implement complex frontend systems
• Make sound architectural decisions that balance trade-offs
• Write clean, maintainable, well-tested code that sets the standard for the team
• Identify and resolve performance bottlenecks and technical debt
• Stay current with industry trends and evaluate new technologies

Impact & Ownership

• Own entire features end-to-end from design through deployment
• Anticipate problems and proactively address them
• Make data-driven decisions about technical direction
• Deliver high-quality work consistently on schedule

Why join us:

Cutting-Edge Technology

• Work with the latest AI technologies from leading providers
• Build interfaces that leverage LLMs in production
• Shape the future of AI-powered real estate search at scale
• Millions of users rely on Realtor.com to find their next home
• Your work directly affects major life decisions for consumers
• Launch features that transform how people search for real estate

Growth

• Work alongside Staff and Principal engineers who will challenge and support you
• Exposure to full-stack technologies including mobile, backend, and AI
• Clear path to career growth with opportunities for technical leadership

How we work:

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

How We Reward You:

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

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

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

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

SENIOR AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

• 6+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
• Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
• Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
• Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
• Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
• Experience in Typescript development for prototyping and integrations
• Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

• Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
• Experience optimizing inference costs and latency for large-scale deployments.
• Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
• Any Google Cloud Professional Certification

What you’ll be doing in this role:

• Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
• Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
• Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
• Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
• Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
• Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
• Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
• Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

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

• Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
• Mentor engineers on best practices for building deterministic software around probabilistic AI models.

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

Apply today or check out all our opportunities!

#LI-Remote

#LI-Hybrid

#LI-Onsite

Business Analyst

Job Summary: We are seeking an experienced Business Analyst to join our team. The ideal candidate will have a strong background in financial services technology, with the ability to independently facilitate requirements gathering and design collaboration meetings across a multi-tenant, microservices-based banking platform. This role requires familiarity with RESTful APIs, integration projects, and AI-assisted BA workflows.

Key Responsibilities

• Collaborate with stakeholders to gather and document business requirements for branch banking and teller platform development.
• Facilitate requirements gathering and design collaboration meetings to ensure project requirements are clearly defined and understood.
• Analyze and translate business requirements into functional specifications, user stories, and acceptance criteria for development teams.
• Work closely with developers and architects to review API contracts and integration specifications.
• Document integration requirements with core banking and enterprise middleware systems.
• Manage and track project progress, ensuring adherence to Agile project lifecycle controls.
• Write test cases, user personas, and user journeys; validate developed features using Postman and UAT scripts.
• Leverage AI tools (GitHub Copilot or similar) for research, document generation, use case elaboration, and test plan creation.
• Prepare and present project status reports to stakeholders and senior management.

Qualifications

• 4–8 years of experience in a technology-focused Business Analyst role.
• 3+ years of business experience within financial services or banking.
• Proven ability to independently facilitate complex requirements gathering and design collaboration sessions.
• Working knowledge of RESTful APIs, and microservices architecture.
• Experience on integration projects involving complex enterprise applications.
• Hands-on experience with Agile/Scrum methodologies.
• Solid understanding of requirement engineering processes.
• Experience writing detailed test cases, personas, and user journeys.
• Familiarity with AI/LLM-assisted productivity tools (GitHub Copilot or similar) for BA workflows.
• Experience with SQL and relational databases is a plus.
• Branch/retail banking experience is preferred.

Skills and Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a cross-functional team.
• Detail-oriented with strong organizational skills.
• Proficiency with Postman for API exploration and validation.
• Proficiency with project management tools (Jira, Confluence, or equivalent).
• Proficiency with AI/LLM tools for accelerating BA workflows.
• Ability to comprehend complex functional and technical architectures.

About The Role

As a Principal Forward Deployed Engineer (FDE) at Invisible, you'll lead high-impact, AI-powered solutions that reshape how our clients operate their most critical workflows. You won’t just build and deploy — you’ll drive the strategy, architecture, and execution of end-to-end systems, working directly with client.

This is a hybrid role: equal parts AI engineer, software builder, and technical consultant. It's perfect for someone who wants to be hands-on with models and close to the impact they generate.

**Please note - We are always looking to connect with talented individuals for this role. This posting is part of our ongoing effort to build a strong pipeline of candidates and may not correspond to an immediate opening. Candidates who move forward in the process may be considered for current and future opportunities as they arise.

What You’ll Do

• Partner with delivery and executive stakeholders to scope, design, and lead implementation of AI-driven solutions
• Identify transformational opportunities in messy, ambiguous workflows and turn them into repeatable systems
• Lead architecture design and trade-off discussions across performance, scalability, cost, and reliability
• Own projects from first discovery call through full deployment — including client-facing delivery, internal coordination, and post-launch iteration
• Build shared infrastructure, reusable components, and internal playbooks to level-up the team
• Coach and mentor mid-level engineers and help shape the culture of forward-deployed AI engineering at Invisible

What We Need

• 10+ years of software engineering experience, including significant time spent building data, ML, or backend systems
• Python & ML/LLM Frameworks: Deep proficiency in Python with hands-on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems
• Deployment & Infrastructure: Skilled in full-stack and API-based deployment patterns, including Docker, FastAPI, Kubernetes, and cloud environments (GCP, AWS)
• Platform Orchestration: Experienced with workflow orchestration libraries, pub/sub systems (Kafka), and schema governance
• Data Management: Expertise in data governance and operations, including Unity Catalog and policy management, cluster/job orchestration, data contracts and quality enforcement, Delta/ETL pipelines, and replay processes
• Strong product and system design instincts — you understand business needs and how to translate them into technical architecture
• Experience building usable systems from messy data and ambiguous requirements
• Excellent communication and client-facing skills; you’ve led conversations with technical and non-technical stakeholders alike
• Proven experience owning projects from scoping through deployment in ambiguous, high-stakes environments
• Be willing to be on-call for our customers when situations arise
• Ability to travel roughly 25–50% of the time, sometimes short-notice trips—primarily across North America with occasional international roll-outs—to work directly on-site with clients
• Strong engineering background demonstrated by a Bachelor’s degree in Data Science, Computer Science and related fields OR equivalent professional experience

What’s In It For You

Invisible is committed to fair and competitive pay, ensuring that compensation reflects both market conditions and the value each team member brings. Our salary structure accounts for regional differences in cost of living while maintaining internal equity.

For this position, the annual salary ranges by location are:

• Tier 1:  $250,000 - $366,000
• Tier 2:  $227,000 - $333,000

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

RESPONSIBILITIES

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

MINIMUM QUALIFICATIONS

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

PREFERRED SKILLS AND EXPERIENCE:

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

Job Summary:

Natera is seeking an experienced Senior Software Engineer with modern data engineering and AI-enabled development skills with deep scientific R&D background to design and build data products that directly support genomics research and translational science. This role is intended for someone who already understands how research organizations operate, how genomic data flows from experiment to insight, and how to engineer data systems that accelerate discovery without compromising rigor or compliance.

The ideal candidate combines strong data engineering skills with a computer science background and hands-on experience in bioinformatics, genomics, or computational biology, and the ability to work independently in an R&D environment. You will also be comfortable moving quickly to prototype novel data products while ensuring solutions evolve into robust, compliant, and scalable platforms. You will bring an internalized sense of what “good” looks like for research data: reproducibility, traceability, performance, and scientific usability.

Key Responsibilities

• Design, build, and maintain the data products that support R&D, analytics, Lab and scientific workflows, from initial design through deployment and iterations 

• Build and maintain data pipelines for large and complex datasets, from raw inputs through derived and analysis-ready datasets. 

• Apply domain knowledge in genetics and bioinformatics to design data models, schemas, and abstractions that align with real research patterns and downstream analysis needs.

• Design and enforce de-identification and privacy-preserving architectures that meet HIPAA and related regulatory requirements while remaining usable for research.

• Design scalable data models to power analytics, reporting, and downstream applications. Maintain high standards of data quality, accuracy, lineage, and observability across data pipelines.

• Partner closely with R&D scientists, bioinformatics teams, and software engineers to translate research needs into well-structured, reusable data assets.

• Optimize storage, retrieval, and lifecycle management for large scientific files (E.g. sequencing data, intermediate artifacts, derived datasets).

• Drive rapid prototyping efforts to support exploratory, proof-of-concepts, and early-stage initiatives, while guiding the transition to production-grade systems.

• Implement best practices for data quality, validation, lineage, observability, and reproducibility to enable a trusted 360° view.

• Collaborate with product managers and domain experts to translate requirements into technical solutions

• Establish golden paths (templates, examples, docs) and contribute to shared data product catalogs, patterns, and best practices used by other engineers

• Provide technical guidance and mentorship to mid-level engineers

Required Qualifications

• Bachelor’s or Master’s degree in computer science or bioinformatics with healthcare or biotech data domain experience preferred

• 8+ years of experience in data engineering, designing and maintaining data pipelines and cloud data architectures (e.g, Snowflake, AWS, etc)

• Strong background in bioinformatics, genomics, or computational biology (required).  Understands key genomics and bioinformatics data formats, such as BAM, VCF, FASTQ, common compression techniques for these file formats, and their storage, delivery, and management needs.

• Demonstrated experience supporting scientific R&D, Lab workflows and research teams with production-grade data systems. 

• Strong proficiency in Python, SQL, and distributed processing frameworks (Spark or equivalent)

• Experience with modern orchestration tools (Airflow, dbt, Dagster)

• Experience leveraging AI-assisted development tools (e.g., LLM copilots) to accelerate data solution development

• Familiarity with building data products that support analytics, ML, or AI applications

• Strong data modeling expertise (dimensional, normalized, healthcare-specific schemas)

• Experience implementing CI/CD for data pipelines and IaC (Terraform, CloudFormation); Knowledge of data observability, testing, and data quality frameworks

• Demonstrated ownership of production-grade data systems and end-to-end pipeline lifecycle

• Ability to evaluate emerging data and AI technologies and recommend scalable solutions

• Exposure to vector databases, embeddings, semantic search, or RAG-based architectures is a plus

• Proven ability to operate effectively in fast-paced environments, balancing speed, rigor, and compliance

• Strong written and verbal communication skills with ability to collaborate across engineering, analytics, and business stakeholders

• Experience working with healthcare, life sciences, or other highly regulated data, including hands-on HIPAA compliance.
  
  #LI-DNI

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

Job Overview: Sustainment is scaling fast and our engineering team has grown significantly and our delivery surface spans commercial SaaS product development and government-funded R&D programs. We're hiring a Technical Project Manager to own the operational backbone of engineering delivery: process enforcement, cross-functional coordination, sprint execution, release management, and government program tracking.

You'll work closely with key stakeholders and act as the connective tissue between engineering, product, design, and QA. You'll own our delivery process end-to-end, facilitate ceremonies, enforce stage gates, and ensure commitments are protected. You'll also track milestones and deadlines for government-funded programs to ensure nothing slips through the cracks.

This role requires someone who can earn credibility with engineers, partner effectively with product leadership, and maintain process integrity.

Responsibilities: 

Engineering Delivery

• Enforce the product-to-engineering delivery process and stage gates from discovery through deployment, partnering with engineering leadership on process design and continuous improvement
• Manage change control: ensure scope changes after commitment go back through the defined review process so delivery timelines stay reliable
• Ensure stories entering sprints meet "Ready" criteria with complete descriptions, acceptance criteria, and designs 
• Facilitate sprint planning, grooming, retros, and sprint reviews
• Drive cross-team dependency tracking across engineering, data science, and infrastructure
• Own release coordination including QA sign-off, staging validation, and deployment readiness
• Track and report sprint metrics, cycle time, velocity, blocked tickets, and delivery health
• Attend and/or run operational standups and cross-functional syncs
• Work with product and other key stakeholders to improve delivery predictability, enabling more accurate customer commitments and roadmap planning
• Ensure product and key stakeholders has clear visibility into engineering capacity, active work, and upcoming availability

Government Program Tracking

• Track milestones and deliverable deadlines for government-funded initiatives (SBIRs, OTAs, contracts, pilots)
• Maintain reporting cadence and flag at-risk deliverables before deadlines
• Coordinate with technical teams to ensure work stays aligned with contract timelines
• Support preparation of status updates and program reviews as needed

Stakeholder Communication

• Produce daily/weekly sprint reports for engineering leadership and executives
• Translate technical status into business impact for non-technical stakeholders
• Proactively communicate risks, timeline changes, and trade-offs with context and recommendations

Qualifications: 

• 4+ years in Technical Program/Project Management within a software development organization
• Experience managing scope and delivery in Agile/Scrum environments using JIRA
• Demonstrated ability to manage scope boundaries and facilitate alignment across engineering and product leadership
• Experience producing sprint metrics, velocity reports, and delivery forecasts
• Strong written and verbal communication across technical and business audiences
• Experience in manufacturing, industrial, or B2B SaaS
• Understanding of AI/ML systems and LLM-based applications

Nice to Have:

• Startup experience and comfortable with ambiguity and fast-moving environments
• Strong understanding of the full SDLC: requirements, design, development, code review, QA, staging, deployment
• Experience tracking government or defense-related project milestones
• Familiarity with DoD contracting structures (CPFF, FFP)
• Experience with AWS-based architectures
• Exposure to compliance frameworks (SOC 2, NIST 800-171, CMMC, FedRAMP)
• Experience with engineering tooling (LinearB, Retool, or similar)
• Familiarity with AI tools in your own workflow (Claude, OpenAI, Copilot)

The ideal candidate possesses a strong understanding of building internal security tooling and data pipelines using public cloud infrastructure, leveraging AI technologies.  This role will be within SpyCloud Labs, SpyCloud’s in-house Security Research team, and focus on building automation and other internal tooling to facilitate the collection of recaptured third-party breach and malware data.  This is a full-time remote role supporting a hybrid workforce.

What You'll Do:

• Design, implement, and maintain internal tooling for acquiring and parsing recaptured underground data.
• Build and deploy cloud infrastructure using Infrastructure as Code technologies.
• Build and deploy automated CI/CD pipelines to test and deploy tooling and infrastructure.
• Collaborate directly with the research team to support the targeting and collection of new data sources.
• Be the subject matter expert on Security Research Engineering and the data acquisition process.
• Leverage modern AI and LLM-based tooling to streamline development and collection workflows.
• Constantly and independently work to identify improvements and automation opportunities in the recaptured data workflow and ETL pipelines. 
• Participate in security research including investigation of threat actors, malware, and other critical research in support of SpyCloud’s priorities.
• Mentor junior security researchers and engineers including providing code review and guidance on efficient code writing and professional development 

Requirements:

• 6+ years experience in a Senior role within cybersecurity engineering.
• 6+ years of professional software development experience, preferably in the cybersecurity industry
• Experience using AI/ML in development workflows.
• Experience implementing AI/ML in data processing applications.
• Highly skilled with Python. Golang proficiency a plus.
• Experience building internal tooling and deploying using Infrastructure as Code technologies (we use Terraform and Ansible).
• Bachelor’s degree, or equivalent experience, in Math, Science, Engineering, or Business fields.
• Self-directed with the ability to identify and deliver on tasks without needing direct supervision.
• Critical thinker that is comfortable supporting collaborative problem solving in a team environment.
• Excellent communication skills.
• Highly self-motivated, empathetic, curious, and flexible.

Nice to Have:

• Experience working with large enterprises in delivery of security analytics products.
• Experience in acquiring and processing malware-exfiltrated data 
• Experience in using data science to analyze datasets for the purposes of detecting fraud or cyberthreats.
• Experience with databases (relational or NoSQL) and designing efficient database architecture.

For applicants residing in California, please click here to read SpyCloud's CCPA Notice.

SpyCloud is hiring a Director of Software Engineering to lead the Console platform powering our Threat Protection product. This is a high-impact role focused on architectural rigor, platform evolution, and AI-enabled engineering leverage.

You will lead a senior-heavy team (~10 engineers) responsible for a multi-tenant SaaS platform Spycloud's customers. Your mandate is not to scale headcount,  it is to scale output, innovation, and system durability through strong architecture and applied AI.

This role reports to the VP of Engineering and operates as a key technical partner with cross-team influence.

What You'll Do:

• Platform Architecture at SaaS Scale
• Own the architectural direction of a multi-tenant Console platform built on Go, React, and AWS, with Domain-Driven Design.
• Elevate system design rigor across APIs, tenant isolation, RBAC, observability, and deployment safety.
• Establish durable platform boundaries and reduce feature-factory behavior.
• Lead design reviews and technical arbitration across teams.
• AI-Native Product Capabilities
• Embed applied AI into the Console ( intelligent workflows, LLM-powered summarization, ML-powered insights).
• Architect production-grade AI integrations with attention to guardrails, evaluation, cost, and latency.
• Ensure AI features are secure, observable, and reliable in a multi-tenant environment.
• AI-Enabled Engineering Leverage
• Introduce AI agents and automation into the engineering lifecycle.
• Design and build AI workforce model to increase output without linear headcount growth.
• Incubate and lead a focused applied AI capability within the team.
• Set standards for responsible AI usage in development and product.
• Product–Engineering Alignment
• Partner deeply with Product to align roadmap, architecture, and long-term platform strategy.
• Translate business outcomes into scalable system capabilities.
• Improve execution clarity, ownership, and delivery predictability.

Requirements:

• Architectural Depth
• 10+ years in software engineering with significant experience in scalable web architecture.
• Proven ownership of multi-tenant SaaS systems at meaningful customer scale.
• Strong backend and frontend systems intuition (Go and modern React environments).
• Deep experience operating cloud-native systems in AWS.
• AI Systems Competence
• Experience integrating LLMs or ML-driven capabilities into production systems.
• Understanding of evaluation frameworks, prompt patterns, guardrails, and cost-performance tradeoffs.
• Clear thinking around where AI creates durable advantage vs. noise.
• Leadership & Influence
• Experience leading senior and staff-level engineers.
• Ability to influence technical direction beyond direct reporting lines.
• Strong design review discipline and decisive architectural judgment.
• Track record of improving engineering execution and product alignment.

Who We Are Looking For

We are looking for an Offensive Security Engineer who operates with clear ownership. You’re not just filling a seat. You’re setting the standard. You believe great execution brings strategy to life.

How You Operate

You bring mission-driven grit to every challenge, running toward hard problems rather than away from it. You prioritize customer outcomes over internal processes and choose truth and clarity over performative politeness. We look for builders with a bias for action—people who own the fix when things break, share credit with the team, and possess the intellectual humility to care more about getting to the right answer than being right.

What You Will Own

• Own the Outcome: Execute challenging security projects for our PS and MSP customers, ensuring technical precision and successfully resolving complex client needs.
• Take Accountability: Be accountable for the success of unique engagements by developing custom methodologies, payloads, exploits, and tools when off-the-shelf solutions aren't enough.
• Raise the Bar: Continuously improve the bridge between services and product by identifying vulnerability trends in the field and translating them into tangible improvements.
• Drive Impact: Proactively develop new Chariot capabilities based on the specific security vulnerabilities identified during PS security projects.
• Scale Expertise: Aggressively learn as much as possible about the industry and offensive security landscape to ensure the team remains on the bleeding edge of tradecraft.

What You Bring

• The Foundation: A Bachelor’s degree in Computer Science, Engineering, Mathematics, or Physics, backed by 0–2 years of experience or relevant internships in cybersecurity, startups, or high-tech environments.
• Technical Fluency: You have experience writing software or scripts using common offensive security languages, specifically Go (Golang), Python, PowerShell, or Bash.
• Domain Expertise: You have early experience or a demonstrated passion for Product Security (App/Mobile/LLM), Cloud Security (AWS/Azure/GCP), Web/Network Penetration Testing, Red Teaming, or IoT/Embedded Security.
• Offensive Security Mindset: You don't just work 9-to-5; you compete. You have notable achievements in CTFs (CCDC, CPTC) or on testing platforms like Hack The Box, TryHackMe, or PortSwigger.
• The "Plus One" Edge: You go beyond the basics with verifiable contributions to vulnerability research (CVEs), exploit development, or open-source offsec projects. Familiarity with AI prompt engineering for tool/payload generation is a strong plus.
• Certifications: You hold or are actively pursuing industry-recognized certifications such as OSCP, OSEP, PNPT, BSCP, OSWE, or relevant cloud certifications.

If This Position Is Wildly Successful, In One Year You Will Have:

• Delivered high-impact findings across multiple engagement types — red team operations, application security assessments, cloud security reviews — that materially improved clients' security posture and drove repeat engagements
• Developed custom methodologies, payloads, exploits, and tools that solved problems off-the-shelf solutions couldn't, advancing the team's offensive capabilities and contributing to Praetorian's reputation for technical excellence
• Produced clear, actionable reports that resonated with both technical practitioners and executive stakeholders — driving remediation, building client trust, and reinforcing Praetorian's credibility in the field
• Contributed meaningfully to Guard's capabilities by identifying recurring vulnerability trends in the field and translating them into tangible platform improvements that scale your impact beyond individual engagements
• Integrated AI tooling into your offensive workflows — using it to automate reconnaissance, accelerate payload development, and move faster through complex environments without sacrificing depth or precision
• Demonstrated versatility across the threat landscape — from traditional infrastructure and web applications to cloud-native environments and AI/ML systems — reflecting the evolving nature of modern attack surfaces
• Contributed research, blog posts, or conference presentations that elevated Praetorian's thought leadership in the offensive security community
• Mentored junior engineers and contributed to a culture of continuous learning, raising the technical floor across the team through your example and your investment in the people around you

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Staff Attorney position, in any of our offices.

This position offers a flexible, hybrid working arrangement.

The Position

This is not your average discovery role. We’re looking for a sharp, investigative lawyer who enjoys working as part of a team and thrives on digging deep, spotting critical issues, and navigating complex discovery landscapes with precision. If you enjoy engaging directly and collaborating with in-house and outside counsel and crafting tailored discovery responses that align with both individual case nuances and broader national strategies, this dynamic position is for you. This is not a document review position; this person will be part of a dynamic team that develops and executes national strategies for a large international firm client.

Key Responsibilities:

• Conduct thorough investigations and proactively spot discovery issues unique to each case.
• Collaborate closely with inside counsel and external law firms to address distinct discovery challenges and provide clear, actionable guidance.
• Develop and craft strategic discovery responses tailored to individual cases while ensuring alignment with overarching national litigation strategies.
• Operate in a fast-paced, dynamic legal environment where adaptability and innovative problem-solving are essential.
• Continuously monitor and evaluate discovery processes to identify opportunities for improvement and risk mitigation.

Qualifications

• Juris Doctor (JD) degree from an accredited law school.
• Admission to practice law in relevant jurisdictions.
• Proven experience in litigation discovery, investigations, or related legal roles.
• Strong analytical and issue-spotting skills with attention to detail.
• Excellent communication skills and ability to collaborate effectively with diverse legal teams.
• Excellent writing skills.
• Comfortable working in a dynamic, fast-moving environment.
• Experience with AI large language model is a plus.
• Personal injury litigation background preferred.

We are not currently accepting agency submissions for this position.  

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

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

What You'll Do:

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

How We Work:

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

What You Bring:

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

Who You Are:

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

Bonus points:

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

How We Reward You:

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

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

Position Overview:

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning foundations that power Nova’s agentic experiences. This role focuses on applied Machine Learning in production environments: retrieval systems, evaluation frameworks, and model integration layers that make AI features reliable, scalable, and repeatable. You will design and implement the underlying components that support rich, intelligent interactions in the Iterable platform.

You will work closely with backend, frontend, and product teams to shape how Machine Learning is introduced and maintained across the company. The work blends hands-on engineering with system design, and is ideal for someone who can drive complex efforts independently, make practical architectural decisions, and collaborate in a fast-moving, cross-functional product environment.

Responsibilities:

• Design and build Machine Learning platform components that support agentic systems, including retrieval pipelines, indexing strategies, and model integration layers.
• Introduce and operationalize RAG use cases, from data sourcing and embedding generation to runtime retrieval patterns.
• Develop generalized evaluation frameworks for LLM- and agent-based features, including offline metrics, golden datasets, and continuous monitoring.
• Implement abstractions, tooling, and reusable patterns that enable other teams to build ML- and LLM-powered experiences efficiently.
• Partner with backend engineers to productionize ML features with strong reliability, observability, and performance characteristics.
• Prototype applied ML solutions to validate feasibility before investing in full builds.
• Ensure secure, robust handling of data used in ML workflows and retrieval operations.
• Collaborate with product, design, and engineering to align ML system design with user experience and product goals.
• Contribute to iterative improvements of the Nova agent framework, including workflows built with Mastra and TypeScript.

Qualifications:

• 5+ years experience as a Machine Learning Engineer or similar role focused on production systems.
• Strong engineering skills with Python or TypeScript, including experience building ML workflows in frameworks like Mastra or comparable agent/LLM toolkits.
• Experience with retrieval systems, vector databases, search technologies, or RAG architectures.
• Prior work integrating ML or LLM-powered features into production applications.
• Understanding of ML evaluation techniques, experimentation design, and failure analysis.
• Ability to lead complex projects, make practical trade-offs, and work independently in areas of ambiguity.
• Strong communication and collaboration skills in a distributed environment.

Bonus Points

• Experience building ML or LLM platforms, tooling, or developer-facing frameworks.
• Prior work with embeddings, search–ranking systems, or advanced RAG architectures.
• Familiarity with event-driven systems or streaming architectures.
• Experience with model observability, performance monitoring, or proactive regression detection.
• Background in personalization, recommendations, or applied NLP.
• Experience working in remote-first engineering teams.

Perks & Benefits:

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

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

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

Position Overview:

We are looking for a Senior Full-Stack Engineer to join the team building Nova’s agentic experiences within the Iterable platform. This team is responsible for the full end-to-end development of conversational and agent-driven workflows, including the interaction surfaces, orchestration layers, and core platform integrations that make these experiences seamless and intuitive for users.

In this role, you will work across the stack to build both frontend and backend components that bring agentic capabilities to life. You will collaborate closely with design, product, and engineering partners to deliver high-quality, user-centered features. This position is well-suited for someone who enjoys solving complex product and technical problems, can navigate ambiguity, and brings a strong sense of ownership to their work.

Responsibilities:

• Build and iterate on the frontend and backend components that power agentic user experiences.
• Collaborate with design and product teams to create intuitive, conversational interaction patterns.
• Work across the stack to integrate frontend workflows with backend services, platform APIs, and internal tooling.
• Contribute to the evolution of underlying frameworks, including agent workflows and supporting infrastructure.
• Participate in architectural and design discussions to ensure solutions are scalable, maintainable, and aligned with product goals.
• Write high-quality, well-tested code and help refine engineering standards and best practices.
• Debug production issues, improve observability, and contribute to system reliability.
• Partner with other engineers to deliver features from concept to production, including technical design, implementation, testing, and rollout.

Qualifications:

• 5+ years of experience building full-stack applications in production environments.
• Strong proficiency with TypeScript and experience working across both frontend and backend systems.
• Experience with modern frontend frameworks (React preferred) and backend application development.
• Ability to design clean, maintainable APIs and internal interfaces.
• Strong collaboration skills and comfort working closely with product and design.
• Ability to operate independently, manage ambiguity, and drive work to completion.
• Interest in building intelligent, agent-driven experiences, even without prior LLM experience.

Bonus Points

• Experience contributing to or building internal frameworks or developer tooling.
• Familiarity with agent frameworks, agentic patterns, or LLM tool-calling workflows.
• Strong intuition for UI/UX quality in interactive interfaces.
• Experience with observability, performance tuning, or production debugging at scale.
• Experience with event-driven or distributed systems.
• Prior experience working in remote-first engineering environments.

Perks & Benefits:

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

The US base salary range for this position at the start of employment is $133,500 - $212,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

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

How you will make an impact:

We are looking for an Engineering Manager to lead the team responsible for building agentic experiences and integrating AI-powered capabilities into the core Iterable application. This team owns the application-facing development that turns emerging AI capabilities into reliable, usable product features.

In this role, you will guide a group of frontend, backend, and applied engineers working on conversational workflows, orchestration layers, and AI-enabled product surfaces. You will balance people leadership with strong technical judgment, helping the team deliver high-quality features while navigating ambiguity and evolving requirements in a fast-moving product area. This role sits within the broader Nova initiative and plays a key part in shaping how intelligent experiences appear across the Iterable platform.

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

How You Will Make a Difference:

• Lead and support a team of engineers building agentic and AI-enabled product experiences.
• Partner closely with Product, Design, and Data Science leadership to translate AI capabilities into scalable, user-facing experiences.
• Guide the design and implementation of agent workflows, orchestration logic, and application integrations.
• Ensure AI-powered features are reliable, observable, secure, and ready for production use.
• Drive execution across multiple initiatives, balancing short-term delivery with sustainable technical direction.
• Foster strong engineering practices around code quality, testing, documentation, and iterative delivery.
• Coach and mentor engineers, supporting career growth and healthy team dynamics.
• Collaborate with other engineering and data teams to align on interfaces, dependencies, and shared goals.
• Contribute to hiring and onboarding as the team grows.

We Are Looking for People Who:

• Have at least 5 years of hands-on software development experience.
• Have at least 3 years of experience managing and growing software engineering teams.
• Strong background in application or platform engineering, ideally in a SaaS environment.
• Experience leading teams that integrate AI or ML-powered capabilities into production systems.
• Comfort operating at the intersection of product, platform, and data science teams.
• Strong technical judgment across system design, APIs, distributed systems, and developer workflows.
• Experience working with modern backend and frontend stacks.
• Ability to navigate ambiguity, make pragmatic trade-offs, and drive execution across multiple initiatives.
• Excellent communication skills and ability to align technical work with business and product goals.

Bonus Points:

• Experience leading teams building agentic or LLM-powered product experiences.
• Familiarity with agent frameworks such as Mastra or similar orchestration tools.
• Prior work on decisioning engines, rules engines, or real-time personalization systems.
• Experience collaborating closely with Data Science and ML teams on production integrations.
• Background in marketing technology or customer engagement platforms.
• Experience scaling teams and systems in a remote-first environment.

Perks & Benefits:

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

The US base salary range for this position at the start of employment is $156,000 - $242,000. Within this range, individual pay is determined by specific US work location, as well as additional factors, including job-related skills, experience, relevant education or training, and internal equity considerations.

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