About the Opportunity

We are hiring a Senior Personalization Solution Architect with deep domain expertise in personalization and experimentation to join Contentful’s Professional Services team. This role is designed for a practitioner who has built, operated, and scaled personalization programs in production, and who also brings the hands-on technical skills required to implement those programs in modern, composable architectures.

This is not a generalist Solution Architect role with light exposure to personalization. Success in this role requires strong opinions and real-world experience across audience strategy, decisioning, experimentation, and measurement—paired with the ability to design and deliver high-quality technical implementations using Contentful Personalization.

You will work directly with customer engineering, product, and marketing teams to design and implement advanced personalization and experimentation solutions, while also serving as a customer-facing extension of Contentful’s Product and Engineering teams. Your work will help reduce implementation risk, accelerate time to value, and create tighter feedback loops into product development—specifically for complex personalization use cases.

What to expect? 

Personalization & Experimentation Domain Leadership 

• Own the end-to-end design of personalization and experimentation programs, including:
• audience and segmentation strategies grounded in behavioral, contextual, and first-party data
• experience decisioning models that balance relevance, performance, and governance
• experimentation frameworks (A/B, multivariate, holdouts) with clear hypotheses and success criteria
  
  
• Design personalization strategies that scale responsibly, including:
• guardrails to prevent over-personalization, bias, and degraded user experience
• approaches for global, multi-brand, or multi-region deployments
• tradeoffs between targeting precision, latency, and operational complexity
  
  
• Define measurement approaches that connect:
• user behavior → decisioning logic → exposure → business outcomes
  
  
• Act as a domain authority for personalization and experimentation in customer engagements, confidently guiding technical and non-technical stakeholders through best practices, limitations, and tradeoffs.

Technical Solution Architecture & Hands-On Delivery

• Architect and implement end-to-end personalization solutions using Contentful Personalization, including:
• user identification and profile stitching
• audience evaluation and decisioning
• personalized content and experience delivery
  experimentation and uplift measurement
  
  
• Lead hands-on implementation activities such as:
• building proof-of-concepts and reference implementations
• configuring personalization models and decision logic
• developing integration services and APIs
• supporting production deployments and performance optimization
  
  
• Integrate personalization solutions with enterprise platforms including:
• CDPs (Segment, Tealium, mParticle, etc.)
• CRMs (Salesforce, Dynamics)
• analytics platforms (GA4, Adobe Analytics, Snowplow)
• identity, consent, and privacy tooling
  
  
• Design personalization delivery patterns across modern rendering strategies:
• SSR, CSR, SSG, ISR
• edge and CDN-based personalization
• hybrid static + runtime personalization approaches
  
  
• Ensure solutions meet enterprise requirements for:
• performance and scalability
• reliability and fallback behavior
• security and privacy compliance

Technical Discovery & Customer Enablement

• Lead technical discovery sessions to assess customer readiness across:
• data quality, identity maturity, and event instrumentation
• architectural constraints (latency, caching, edge delivery)
• content model alignment and operational workflows
  
  
• Translate personalization requirements into detailed technical designs, including:
• integration patterns and API contracts
• data and event schemas
• deployment and observability considerations
  
  
• Enable customer teams through:
• implementation workshops and pair-programming
• architecture and code reviews
• developer documentation and operational runbooks

Cross-Functional Collaboration & Feedback Loops

• Partner closely with Contentful Product and Engineering teams to:
• surface implementation challenges and recurring customer pain points
• provide feedback that influences roadmap, developer experience, and documentation
• validate new personalization capabilities against real customer use cases
  
  
• Contribute to internal enablement by:
• mentoring Solution Architects and delivery team members
• developing reusable accelerators, patterns, and reference architectures
• supporting Sales and Solution Engineering with technical expertise in complex personalization opportunities

What you need to be successful?

Required: Personalization & Experimentation Domain Expertise

• Demonstrated, hands-on experience designing and operating personalization and experimentation programs in production, including:
• ownership of audience strategy and decisioning logic
• designing and running A/B or multivariate experiments beyond basic UI testing
• interpreting experiment results and translating them into iterative improvements
  
  
• Strong understanding of personalization challenges such as:
• identity resolution and anonymous vs known users
• data sparsity and cold-start scenarios
• experimentation validity, bias, and statistical tradeoffs
• privacy, consent, and regulatory constraints

Required: Technical & Architectural Skills

• Advanced proficiency with modern web technologies:
  • JavaScript / TypeScript
  • React with Next.js (preferred), or Vue/Nuxt, Angular
  • REST and GraphQL APIs
    
    
• Deep understanding of web rendering and delivery patterns:
  • SSR, CSR, SSG, ISR
  • caching strategies and personalization at scale
• Strong experience integrating SaaS platforms and enterprise systems via APIs
• Experience designing or implementing cloud-native architectures (AWS, Azure, or GCP), including:
  • serverless or microservices-based systems
  • event-driven or streaming architectures

Professional Services & Collaboration Skills

• Experience delivering customer-facing technical engagements in a consulting or professional services context
• Comfortable leading technical deep dives with engineering teams and explaining experimentation concepts to non-technical stakeholders
• Strong written communication skills, especially technical documentation

Nice to Have

• Experience with CDPs, tag management systems, and event pipelines
• Familiarity with ML-driven personalization approaches (e.g., propensity models, recommenders), even if models are externally managed
• Experience working in composable DXP ecosystems (CMS, personalization, experimentation, commerce)

What Success Looks Like

• Customers successfully deploy production-grade personalization and experimentation programs using Contentful Personalization.
• Personalization solutions you design are:
• measurable and outcome-driven
• performant at enterprise scale
• governed and extensible over time
• Customer engineering teams trust your guidance because you bring deep personalization domain expertise backed by hands-on implementation experience.
• Product and Engineering teams benefit from clear, actionable feedback rooted in real customer implementations.
• Contentful is consistently seen as a credible personalization partner, not just a technology vendor.

What's in it for you?

• Join an ambitious tech company reshaping the way people build digital experiences
• Full-time employees receive Stock Options for the opportunity to share in the success of our company
• Comprehensive healthcare package covering 100% of monthly health premiums for employees  and 85% of costs for your dependents. 
• Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
• We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss,  education days, and volunteer days
• Company paid parental leave to care for and focus on your growing family 
• Use your personal annual education budget to improve your skills and grow in your career
• Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties 
• An annual wellbeing stipend to care for your physical, financial, or emotional health
• A monthly communication stipend and phone hardware upgrade reimbursement.
• New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.

This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.

This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.

• 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

As a Software Engineer on the Metal Runtime team at Tenstorrent, you’ll work on the low-level software that powers our AI accelerators. You’ll design fast, efficient runtime systems that run close to the hardware, and define the host and device APIs that expose these capabilities to the rest of the software stack. We believe APIs are a core part of systems design: they encode hardware semantics, performance tradeoffs, and concurrency models, and they live longer than any single implementation.

If you enjoy pushing performance, working close to the metal, and designing abstractions that make complex systems usable without sacrificing control, this is your kind of role.

This role is hybrid, based out of Santa Clara, CA; Austin, TX; Toronto, ON.

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

Who You Are

• Strong coder in C or C++, and enjoy working close to hardware.
• Comfortable thinking in terms of threads, processors, and memory movement.
• Care deeply about API design, abstraction boundaries, and developer experience in low-level systems.
• Experienced (or interested in) designing libraries or interfaces used by other engineers.
• Think about long-term maintainability, usability, and clarity when designing systems.
• Curious about how runtimes and bare-metal software come together to power AI.
• Collaborative by nature and enjoy solving tough problems with smart people.

What We Need

• Design and evolve host and device APIs that expose Metal runtime capabilities clearly and efficiently.
• Translate low-level hardware behavior into intuitive, high-performance abstractions.
• Collaborate closely with runtime, kernel, and higher-level software teams to align API design with real-world usage.
• Ensure APIs balance performance, control, safety, and ease of use.
• Contribute to runtime implementation where needed to support API design and integration.
• Debug, analyze, and improve usability and performance across the software stack.

Nice to have:

• Experience designing or evolving non-trivial C++ APIs used by other engineers.
• Familiarity with APIs for accelerator systems (e.g., CUDA, SYCL, Vulkan, or similar).

What You Will Learn

• How to design APIs and abstractions for cutting-edge AI hardware.
• How to balance performance, control, and usability in low-level system design.
• How to translate hardware capabilities into clean, developer-friendly interfaces.
• Best practices for building maintainable, high-performance systems software.
• How software and hardware co-evolve in a fast-paced AI startup.

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

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

Job Title: Software Architect
Locations: Houston OR Boston (Hybrid)
Reports to: Senior Director, Product Development

 A quick snapshot…

The Software Architect role is a key technical leadership position within Conga B2B Platform Engineering. This role is designed for experienced Conga engineers and technical leaders who want to expand their architectural influence, deepen platform-level impact, and help shape the future of Conga’s Revenue Lifecycle Management (RLM) products.
As a Software Architect, you will work across product and platform teams to guide application architecture, ensure alignment with Conga’s technical standards, and mentor senior engineers and tech leads. You will partner closely with Product Management, Engineering Management, and Architecture peers to deliver scalable, secure, and resilient SaaS solutions. This role offers increased scope, strategic ownership, and visibility across Conga’s engineering organization.

Why it’s a big deal….

• Provide architectural direction and technical leadership to product engineering teams.
• Review and guide designs for major enhancements, refactoring initiatives, and new capabilities.
• Ensure engineering teams follow Conga’s SDLC, architectural standards, and DevOps best practices.
• Balance business requirements with non-functional requirements including security, performance, scalability, reliability, availability, and operability.
• Mentor and coach engineering teams, helping raise the technical bar across teams.
• Partner with Product Managers and Engineering Managers to influence roadmap planning and backlog prioritization from a technical perspective.
• Collaborate with Principal and Senior Architects to align application architecture with Conga’s shared platform and long-term technology strategy.
• Promote consistent architectural patterns (API-first, cloud-native, microservices where appropriate) across the product ecosystem.

Here’s what we’re Looking For…

• Strong understanding of Conga’s B2B products, platform architecture, and customer use cases (or demonstrated ability to quickly ramp).
• Proven experience leading technical design discussions and driving architectural decisions within a product team.
• Deep experience delivering enterprise Java based SaaS solutions using Agile methodologies and CI/CD pipelines.
• Solid background designing and building backend services, including REST APIs and data-intensive systems.
• Hands-on experience with relational and/or NoSQL databases.
• Experience working with containerized environments (Docker, Kubernetes).
• Comfortable operating across teams and influencing without direct authority.
• Clear, pragmatic communicator who can translate complex technical concepts for diverse audiences.
• Previous experience contributing to shared platforms or foundational services at Conga.

Why This Role Matters at Conga

• Direct impact on architectural quality, scalability, and long-term sustainability of Conga’s products.
• Increased scope beyond a single team, with visibility across multiple product areas.
• Opportunity to grow towards broader technical leadership paths.
• Influence engineering standards, patterns, and best practices used company-wide.
• Work closely with senior technology leadership shaping Conga’s future platform.

Sr. Application Developer

Job Description 

• Discussions with Client to get the User / Business Requirements 
• Translate User / Business Requirements to Technical Requirements 
• Design and develop responsive web applications using React.js as the primary frontend framework.
• Maintain and migrate minimal legacy components built in Angular.
• Collaborate with UX/UI designers to implement pixel-perfect user interfaces using React, JavaScript, HTML, CSS.
• Write and optimize PL/SQL stored procedures, functions, packages, and triggers in Oracle.
• Support backend development with Java, Spring Boot, Microservices and REST APIs when necessary.
• Perform system integration with backend services and ensure efficient data exchange between layers.
• Participate in code reviews, technical discussions, and Agile ceremonies.

Required Skills:

• Strong experience with React.js (including Hooks, Redux, or Context API).
• Strong experience with Oracle PL/SQL: writing complex queries, procedures, and optimizing performance.
• Solid working knowledge of Java and Spring Boot.
• Familiarity with integrating React applications with RESTful APIs and microservices.
• Basic understanding of Angular (for light maintenance or migration).
• Proficiency with Git, code versioning, and Agile tools (e.g., Jira, Confluence).
• Strong analytical and debugging skills.

Position Summary

Join MyFundedFutures as the next QA Engineer responsible for ensuring that every release that reaches production meets a high bar for quality, stability, and correctness. This is a hands-on role with genuine ownership. You are the gate between code-complete and thousands of users.

You will work closely with product and engineering to define acceptance criteria, have thorough manual test and debugging skills, own the staging environment, build and maintain automation coverage and drive a culture where quality is everyone's responsibility and QA is the last line of defence, not an afterthought.

Key Responsibilities

• Own the QA gate for every release - nothing reaches production without the QA sign-off.
• Radiate knowledge of the trading products and asset classes the platform supports — including equities, futures, and leveraged instruments — so that test coverage reflects real-world user behavior, risk scenarios, and edge cases that matter in live trading environments.
• Stay current with changes to supported asset classes, new product offerings, and evolving platform capabilities; proactively update test plans and regression coverage as the product horizon expands.
• Execute end-to-end regression across all release tickets, verifying against defined acceptance criteria.
• Conduct production smoke tests of every production deploy, validating critical paths are intact.
• Maintain a stable, predictable Staging environment that PM and product can rely on for UAT.
• Build, maintain, and extend the automated regression suite covering critical user journeys: account creation, trading flows, payouts, and authentication.
• Own E2E test coverage; partner with developers on integration and API test coverage.
• Integrate regression suites into CI pipelines so every RC build is automatically validated before manual testing begins.
• Drive automation coverage toward a state where manual regression is focused on new features, not re-testing known-good functionality.
• File all bugs in Jira with clear reproduction steps, environment details as defined.
• Triage and prioritise incoming bugs; communicate release-blocking issues to the product engineering team.
• RanWork with developers during code review to ensure testability, meaningful test coverage, and that new features include adequate unit and integration tests before reaching QA.
• Support PM UAT on Staging - answer environment questions, provide test data, and reproduce issues on demand.
• Maintain test plans, test case documentation, and regression checklists as the authoritative QA reference.
• Document recurring issues, environment quirks, and common failure patterns so knowledge is not locked in one person.

Qualifications

Required

• Working knowledge of trading markets and financial instruments, including equities, futures, and leveraged asset classes. You understand how these products behave, what failure modes look like from a trader's perspective, and why accuracy and timing are non-negotiable in a live trading context.
• Proven experience as a QA Engineer on web and/or mobile software products with a structured, process-driven approach to release quality.
• Hands-on experience writing and maintaining automated E2E test suites using frameworks such as Playwright, Cypress, or similar.
• Solid understanding of the full QA lifecycle: test planning, regression execution, bug management, environment ownership, and release sign-off.
• Familiarity with CI/CD pipelines and the ability to integrate test suites into automated build and release workflows.
• Experience with Jira or similar for bug tracking and release management
• Strong written communication skills - clear, precise bug reports and sign-off documentation are non-negotiable.
• Ability to work autonomously and alongside a team
• Reliable and thorough - you follow through, you don't rubber-stamp, and you treat the QA gate as a genuine responsibility.

Preferred

• Experience with React Native and/or Next.js web applications - familiarity with both mobile and web testing contexts.
• Background in fintech, trading platforms, or other regulated/high-stakes software environments where production quality is not negotiable.
• Experience with API testing tools (Postman or similar) and a solid understanding of REST and WebSocket APIs.
• Exposure to mobile testing via TestFlight and device-based regression for React Native applications.
• Familiarity with NX monorepos and multi-environment deployment pipelines (dev, staging, production).
• Experience maintaining QA documentation in Confluence or similar knowledge bases.
• Comfort operating across multiple products or teams simultaneously, helping manage parallel release cycles with independent cadences.

Lead Delivery - Senior Staff Engineer

Would you like to work in an engineering environment that rewards your passion? The Lead Services engineering team runs Realtor.com®’s Tier 1, mission-critical lead platform — the real-time system that ingests, allocates, and delivers the leads that directly drive revenue across our products and business lines. From the moment a consumer raises their hand to the instant a high-intent opportunity reaches the right agent or partner, this team ensures those connections are fast, reliable, and observable end-to-end.

Join a team that strives for innovation and excellence using the latest technology and frameworks.

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.

What You'll Do: 

• Own system architecture and evolution for key parts of the Lead Services platform (e.g., lead ingestion pipelines, allocation engines, delivery services, ARM/lead management), defining clear boundaries, contracts, and data models between services.
• Lead design and delivery of complex, cross-squad initiatives—from early discovery and technical design through implementation, rollout (including CRs/CAB where required), and post‑launch iteration.
• Shape the technical roadmap for Lead Services: partner with EMs, PMs, and Principal Engineers to define and sequence work that advances both business goals and platform health (performance, reliability, security, cost).
• Raise the quality and reliability bar by driving best practices in testing (unit, integration, e2e), observability, and change management (CircleCI, ArgoCD, Jira CRs), and by using DORA and incident metrics to guide improvements.
• Provide technical leadership across Builder teams, coaching Staff/Senior Engineers and Tech Leads, reviewing designs and PRs for high‑risk changes, and aligning teams on shared patterns and paved paths.
• Partner closely with Product Management to translate customer and business problems into robust technical solutions, shaping scope, trade‑offs, and phased delivery plans that tie into Goals, Initiatives, and Epics in Jira.
• Lead operational excellence: influence on‑call practices, incident response (Phoenix), and RCA quality; ensure services meet or exceed SLAs for lead ingest and delivery while continuously reducing incident volume and MTTR.
• Influence engineering culture by contributing to shared standards (DoD, design / incident / CR templates), documenting patterns in Confluence/Backstage, and driving adoption across Lead Services and adjacent communities.

What You'll Bring:

• 10+ years of software engineering experience, including significant time in large‑scale, distributed systems and 3+ years influencing architecture and design across multiple teams.
• Demonstrated track record leading complex, ambiguous initiatives end‑to‑end (design → implementation → rollout → operations) with measurable business and reliability outcomes.
• Prior experience in high‑throughput, high‑availability platforms (e.g., marketplaces, transactional or event-driven systems) is strongly preferred.
• Proven ability to set technical direction for a problem space, align multiple teams, and drive execution without formal authority.
• Deep proficiency in at least one of Python, TypeScript/Node, or similar back‑end languages, and familiarity with React/TypeScript for full‑stack collaboration.
• Experience designing and operating cloud-native services on AWS (EKS, containers, managed databases, messaging/streaming) with modern CI/CD (e.g., CircleCI, ArgoCD).
• Strong grounding in system design, data modeling, and API design (REST/GraphQL), including performance, resilience, and security considerations.
• Comfort working with observability tooling (metrics, logs, traces) and using data to debug, optimize, and harden systems in production.
• Independent and can manage your own projects and time with ease, all the while setting and managing stakeholder expectations
• Strong communication skills: you can explain complex trade‑offs clearly to engineers, product partners, and non‑technical stakeholders, and you adapt your message to the audience.
• A track record of mentoring and elevating other engineers, helping them grow into Staff and beyond through coaching, clear expectations, and actionable feedback.
• Bachelor’s degree in Computer Science/Engineering/related field or equivalent professional experience.

• 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

About the team

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

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

About the role

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

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

What You’ll Do

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

Build & Deploy

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

Data & Insights

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

Collaboration & Enablement

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

What You Bring

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

#LI-AW2

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

About Osano:

Osano is an innovative B-Corporation built around a simple belief: privacy is a fundamental right. Since day one, we’ve been focused on giving modern enterprises the ability to innovate quickly, stay competitive, and earn customer trust by respecting data privacy and complying with consent guidelines. Our products help organizations operate confidently in a rapidly evolving regulatory and technological landscape.

About the Role:

We’re looking for a Manager, Customer Product Support to lead and scale our support function as we grow.

This role is both strategic and hands-on—you’ll act as a player-coach, leading a small but high-impact team, managing the support system, and directly engaging in tickets, escalations, and technical troubleshooting.

You’ll be responsible for building the systems, processes, and tooling that allow Support to scale efficiently—without simply adding headcount—while ensuring a high-quality customer experience.

This position is ideal for someone who thrives in fast-paced SaaS environments, enjoys solving complex technical problems, and is energized by building structure where it doesn’t yet exist.

Responsibilities:

Support Operations & Scaling

• Own and manage the support ticket queue and day-to-day operations
• Define, track, and improve key support KPIs (FRT, CSAT, resolution time, backlog)
• Build scalable processes and workflows to support growth without increasing headcount
• Identify and implement automation across triage, routing, and resolution

Technical Troubleshooting & Escalation

• Act as a senior escalation point for complex technical issues
• Diagnose front-end, browser, and integration-related issues
• Support API troubleshooting and technical debugging
• Design and improve escalation workflows across Support, Product, and Engineering

Tooling & Systems (DevRev Ownership)

• Lead implementation and optimization of DevRev (or similar tools)
• Build dashboards, reporting, and operational visibility into support performance
• Continuously improve tooling to increase efficiency and insight

Team Leadership (Player-Coach)

• Manage and coach a small team of Support ICs
• Provide mentorship, feedback, and performance guidance
• Balance leadership responsibilities with hands-on ticket ownership

Cross-Functional Collaboration

• Partner closely with Product, Engineering, and Customer Success
• Strengthen feedback loops between customer issues and product improvements
• Influence product decisions through support insights and trends

About You:

• You’re curious, self-directed, and motivated to learn quickly
• You thrive in ambiguity and create clarity for others
• You’re calm under pressure and strong in customer escalations
• You’re both a leader and operator—comfortable coaching and doing
• You lead with empathy, accountability, and a strong customer-first mindset
• You’re excited about building responsible, scalable systems

Must-Haves:

• 5+ years in technical support or similar within a SaaS environment
• 2–3+ years of experience managing support teams or ICs
• Proficiency in JavaScript, HTML, and CSS (debugging level)
• Ability to troubleshoot client-side and browser-based issues using developer tools (console, network, etc.)
• Strong understanding of API calls, integrations, and how systems interact
• Experience working within technical support queues and managing ticket workflows
• Experience with support tools (Zendesk, Jira, HubSpot Support, DevRev, or similar)
• Familiarity with AI tools (e.g., Claude Code) to improve troubleshooting efficiency and workflows 
• Ability to work cross-functionally with customer, product, and engineering teams.

Nice-to-Haves:

• Privacy, security, or compliance SaaS support experience
• Experience with mobile SDKs (iOS and/or Android)
• Server-side or backend experience (APIs, integrations, systems architecture)
• Deeper expertise in JavaScript frameworks or advanced debugging techniques
• Experience supporting technical implementations or customer integrations
• Experience building automations or scripting for support workflows
• Familiarity with project management tools (Airtable, Airfocus, Jira, etc.)
• Experience owning knowledge bases, in-app support, or customer education resources.

Why Us:

• We're a welcoming team that's dependable, curious, moves fast, and full of talented people
• We're a B-corporation with a mission that matters, in a high-growth space with significant potential
• You'll become a privacy expert, including the opportunity to obtain your Certified Information Privacy Manager credential
• You'll have access to our training program, well-defined career paths, and a leadership team that values professional development

Benefits:

• Competitive-pay compensation and ownership interest/equity
• Unlimited paid time off, plus a requirement to take at least two weeks off per year
• We're a Best Place for Working Parents and offer paid parental leave for all new parents
• Osano sponsors individual premiums on base plans at 100% and dependent premiums at 50% for Medical, Dental, and Vision insurance via Aetna
• A fully and permanently remote company so you can work from anywhere in the U.S. 
• Receive a MacBook and $600 to craft your home workspace
• Annual company trip designed to foster connection, creativity, and fun
• Mental health benefits with free memberships to mindfulness and talk therapy services

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

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

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

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

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

Top Reasons to Apply:

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

What You'll Do:

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

What You'll Bring:

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

How we Reward you:

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

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

Position Summary

You’ll operate as a senior individual contributor and the de facto technical lead across our marketing web properties—owning architecture direction, enforcing coding standards, driving performance excellence, and accelerating high-quality feature delivery. You’ll mentor and oversee contractors, elevate engineering practices, and ensure our WordPress + modern JavaScript stack remains fast, maintainable, and experimentation-ready.

Why join Tipalti?

Tipalti is the AI-powered platform for finance automation, elevating how finance teams operate in the global economy. We empower our customers to scale faster and smarter by removing the complexities of doing global business and accelerating their finance operations efficiency. Our platform provides a comprehensive suite of finance automation solutions designed for mid-market businesses across accounts payable, global payouts, procurement, employee expenses, corporate cards, supplier management, tax compliance, and treasury. Tipalti partners with leading financial institutions such as Citi, Wells Fargo, J.P. Morgan, and Visa, enabling over 5,000 global companies to efficiently and securely pay millions of suppliers and payees across 200+ countries and territories, in 120 currencies.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together. 

Founded in Israel in 2010, Tipalti is a global business headquartered in the San Francisco Bay Area (Foster City) with offices in Tel Aviv, Plano, Toronto, Vancouver, London, Amsterdam, Tbilisi and Medellin.

In this role, you will be responsible for:

• Architecture Ownership: Evaluate, refactor, and evolve the WordPress/PHP and frontend JavaScript architecture to ensure scalability, maintainability, and performance across all marketing web properties.
• Coding Standards & Governance: Establish and document front-end/back-end standards (PHP, JS, HTML, CSS, performance, security basics); drive adoption through PR reviews and mentoring.
• Performance Optimization: Partner with WebOps to enhance site performance.
• Feature Delivery: Plan and implement new site features, embedding best practices for performance, accessibility, and maintainability in every release.
• Code Review & Quality: Maintain timely PR reviews, strengthen automated testing across unit, integration, and end-to-end levels, and ensure regressions are detected early through robust review and test practices.
• Technical Leadership: Provide direction, unblock issues, and ensure consistent output quality.
• Tech Debt Management: Systematically reduce technical debt by refactoring outdated templates, consolidating redundant scripts, and eliminating non-standard plugin dependencies to enhance platform stability and scalability.
• Analytics & Experimentation Enablement: Design, implement, and maintain robust tracking infrastructure and data layer taxonomy to support accurate analytics, event tagging, and A/B testing.

About you 

• 8+ years professional web development experience; 4+ years hands-on WordPress/PHP development at scale.
• Demonstrated lead-level influence (mentoring, establishing standards)
• Deep proficiency in PHP, modern JavaScript (ES6+), HTML5, and CSS3/SCSS, with a strong grasp of code architecture principles (Model-View-Controller). Skilled in asynchronous programming patterns and API integrations (REST/JSON).
• Proven record of improving page performance and Core Web Vitals on marketing or content-heavy sites.
• Testing mindset: comfortable with unit (PHPUnit), integration, and end-to-end (Playwright or similar) test strategies.
• Hands-on experience diagnosing and resolving cross-browser/front-end compatibility issues (Chrome, Safari, Firefox, Edge) and responsive layout bugs across major mobile viewports.
• Experience conducting rigorous code reviews and enforcing coding standards.
• Ability to coordinate and technically lead contractors (provide clear tasks, feedback, quality gates).
• Ability to context switch between architectural work and hands-on feature implementation.

Our benefits package includes:

• Hybrid working model that requires you to be in the Plano office on Monday, Tuesday, and Thursday
• Competitive salary and equity
• Matching 401K
• Extended benefits, Employee Assistance Program, life insurance, AD&D, LTD
• Maternity, Paternity and Fertility Treatment benefits
• 15 days of PTO
• Subsidized lunch on office days
• Fresh fruit, snacks & drinks in office
• Phone/internet allowance 
• Regular company-wide social events
• Multiple ERG groups celebrating our diversity and creating an inclusive culture

Our tech teams are the engine behind our business. Tipalti’s tech ecosystem is extremely rich and we continually add new features to our products, ensuring that we respond to our clients’ needs at scale. Our tech teams retain a fast-paced, start-up vibe that encourages innovation and critical thinking. At Tipalti, you’ll have the opportunity to work with a diverse, global team of engineers, developers and product leaders who are collectively building the future of our best-in-class product suite as we transform financial operations for the future.

#LI-Hybrid

About the Role

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

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

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

What You'll Do

Platform Strategy & Execution

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

Engineering Enablement

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

Quality at Scale

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

Cloud Cost & FinOps

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

People & Organization

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

AI Strategy & Developer Enablement

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

What We're Looking For

Required

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

Preferred

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

Tech Stack You'll Own

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

Why This Role

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

What You'll Do:

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

What You'll Bring:

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

How We Reward You:

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

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

ICON is seeking a Senior Software/Data Engineer I to join our Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping, developing, and scaling ICON’s enterprise data platform within Palantir Foundry, owning the ingestion, modeling, and activation of data that powers reporting, decision-making, and intelligent automation across the company.

You will not just build pipelines. Instead, you will be architecting the Digital Twin of an industrial robotics and construction company. You will work closely with teams across Supply Chain & Manufacturing, Logistics, Engineering Support Services, Software, Field Operations and Technology R&D to centralize high-value data sources, model them into scalable assets, and enable business-critical use cases. Use cases will range from real-time reporting and analytics to AI/ML-driven operational workflows and decision-making. 

This is a highly cross-functional and technical role, ideal for someone with strong data engineering skills, deep business curiosity, and a bias toward action. This role is based at ICON’s headquarters in Austin, TX and reports to the Senior Director of Operations.

Responsibilities

• Data Pipeline Development: Design, build, and maintain scalable ETL/ELT pipelines in Palantir Foundry (and supplemental tools) to integrate data from enterprise systems (NetSuite, Workday, etc.) and external sources. Ensure pipelines are efficient and fault-tolerant, handling large data volumes from manufacturing and field operations (e.g. IoT sensor feeds).
• Data Modeling & Ontology: Develop and refine data models that organize enterprise data into meaningful structures. Leverage Foundry’s ontology features to define business objects (e.g. Customers, Work Orders, Inventory Items) and ensure data is linked in a way that reflects real-world relationships. Continuously improve these models for new business requirements – for instance, adding new attributes or new object types as we launch new programs.
• Data Quality & Governance: Implement data validation and quality checks in pipelines to ensure data accuracy and consistency. Monitor pipeline runs and set up alerts for anomalies or failures. Work with the team to enforce data governance policies (who owns which data, access controls, compliance needs) within Foundry and downstream systems.
• Cross-Functional Support: Collaborate with Data Analysts and business stakeholders to understand their data needs and optimize data outputs for analysis. For example, if Finance needs a specific revenue recognition report, ensure the pipeline provides the needed granularity. Provide ad-hoc data expertise to troubleshooting data issues or generating one-time analyses.
• Performance Optimization: Profile and tune data pipelines for performance. Optimize query logic, pipeline configuration, and resource usage so that data refreshes and analytics can occur in a timely manner (especially as data volumes grow with company expansion). Manage scheduling and orchestration of jobs to meet SLAs for data availability (e.g. daily financial report refresh by 8 AM).
• Integration with Systems: Work closely with Systems Architects to coordinate how data flows tie into system integrations. For example, if a new API integration is bringing in a type of data, design the pipeline to ingest that data and join it with relevant datasets for analytics. Provide input on what data transformations could happen in-flight vs. in Foundry to maximize efficiency.
• Tooling & Innovation: Contribute to developing internal tools or scripts to improve our data engineering workflow. This could include scripts for automating data deployments, custom plugins in Foundry, or using open-source frameworks (where applicable) to complement Foundry’s capabilities. Also evaluate new features in Foundry and emerging data technologies to keep our stack modern.
  
  
• Mentorship & Best Practices: As a senior member, guide junior data engineers in writing clean, maintainable pipeline code. Establish best practices for code versioning, documentation of data transformations, and general data engineering standards within the team.

Minimum Qualifications

• 7+ years of experience in data engineering or ETL development, handling large-scale datasets and complex pipelines. Strong foundation in data integration concepts and database design.
• Advanced Python skills for data processing (Pandas, etc.) and scripting, as well as solid SQL skills for querying and transforming data. Experience with PySpark or similar distributed data frameworks is a plus (Foundry uses Spark under the hood for big data).
• Experience building pipelines with enterprise data from systems like ERP, CRM, HRIS, or IoT sources. Familiar with different data formats (JSON, CSV, XML) and methods of extracting data (REST APIs, webhooks, database connectors).
• Hands-on experience with a modern data platform or pipeline orchestration tool. Experience with Palantir Foundry is a strong plus, but experience with alternatives (e.g. AWS Glue, Azure Data Factory, Databricks, Airflow, dbt, etc.) is acceptable if coupled with ability to learn Foundry quickly.
• Solid understanding of data modeling principles (relational schemas, star/snowflake schemas for analytics, normalization vs. denormalization tradeoffs). Ability to design schemas and data transformations that meet analytics requirements efficiently.
• Problem-solving and debugging skills: Able to investigate data discrepancies across systems, troubleshoot pipeline failures, and optimize slow queries.
• Attention to detail and commitment to data quality – recognizes the downstream impact of data issues and proactively puts checks in place.
• Good communication skills and ability to work with end users (analysts, managers) to clarify requirements. Comfortable explaining technical concepts to non-technical stakeholders when necessary.
• Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent practical experience).

Preferred Skills & Experience

• Prior experience in a manufacturing or logistics environment where you dealt with IoT data, sensor streams, or other high-volume operational data. Understanding the nuances of such data (e.g. time-series data management) can be useful.
• Familiarity with cloud data architectures (AWS or Azure data services) as Foundry operates in cloud environments. Knowledge of storage services (S3, ADLS), data warehousing (Snowflake, Redshift), and how they integrate with pipeline tools.
• Experience with business intelligence tools or practices – able to appreciate how data will be used in dashboards or analytics so you can better tailor data outputs (experience with tools like Tableau, Power BI, or Foundry’s Contour/Quiver dashboards).
• Knowledge of DevOps and CI/CD for data pipelines – using version control (Git), and deploying code in a controlled, automated way.
• Master’s degree in Data Engineering or related field, or relevant certifications (e.g. Google Professional Data Engineer, AWS Data Analytics Specialty) indicating a commitment to ongoing learning in the field.