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!

Associate UX / IA Director

You are the strategy and measurement anchor for clients trying to make better decisions with their data. The work spans analytics program design, measurement frameworks, data strategy, and client leadership, and you are not handing off recommendations, you are seeing them through. You bring genuine business thinking. You help shape what clients should do, not just what the data says. This is a player-coach role. You will lead discovery sessions, pressure-test hypotheses, and present to senior stakeholders every week. You will own client relationships, drive business development, and mentor the practitioners around you. The most important thing you will do is make clients better at using data to run their business.

What experience should you have:

• 10+ years of product design experience, with at least 4 in a senior, lead, or principal role at a complex B2B SaaS, platform, or operator-facing product. Consumer-only backgrounds are not the right fit.
• A portfolio that proves craft at complexity. IA you owned that made a hard product feel obvious, Figma files that are organized and intentional, interaction design for high-stakes workflows. We will look closely.
• Experience owning a design system in production: components, tokens, patterns, governance, and the engineering partnership that makes it stick. You read the code, file precise issues, and show up to technical reviews.
• Direct research experience with senior practitioners or executives. You can run an interview without leading the witness, synthesize across small samples without overreaching, and present findings to people who don't want to hear them.
• Strong product instincts. You can argue for or against scope, sequence, or a feature based on user need, business context, and platform coherence. You are not waiting to be told what to design.
• A track record of mentoring designers, formally or informally. Even as a solo practitioner, the way you work needs to be teachable.

What you’ll be doing in this role:

• Own the information architecture: navigation, taxonomy, page hierarchy, language, concept grouping. This product has a lot of surface area; you keep it coherent.
• Design the critical workflows: how operators triage signals, configure actions, review AI outputs, and approve high-stakes decisions. The hard problems are about cognitive load, not pixels.
• Build and maintain the design system: components, patterns, tokens, accessibility, and documentation that lets engineers extend it without your hands on every commit.
• Set the bar for visual craft. Skeptical executives will look at this product. It needs to look like the product they think it should be.
• Run user research with operators, account leads, and executives. Decide what we need to learn before we build it, and go learn it.
• Shape the product, not just the design. You are not handed a spec; you help write it. Your instincts about what should exist and in what order will influence the roadmap.
• Partner cross-functionally with engineering on feasibility, solution architecture on what needs surfaces, data architecture on what's queryable, and leadership on what the product should mean.

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.

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!

Associate Product Director

This is a unique opportunity to join Further’s Technology and Product Innovation team, working at the intersection of advanced AI technology. The team focuses on building AI‑enabled products that accelerate our clients’ business outcomes and deliver exceptional experiences. You will partner with stakeholders across the business to shape needs, translate them into product capabilities, and ensure successful delivery through effective collaboration with engineering teams. 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:

• 10-15 years of product management experience or similar product-focused roles.
• Experience leading end‑to‑end product lifecycle activities, from strategy to delivery.
• Experience with at least one AI‑powered digital product or platform.
• Ability to translate business needs into product features with clear value propositions.
• Strong analytical, communication, and stakeholder management skills.
• Demonstrated ability to lead teams, drive decisions, and solve problems across multiple groups. 

Nice to Have: 

• Experience in agile product development environments.
• Familiarity with data, analytics, or AI-driven product features.
• Background in consulting or large-scale enterprise product delivery.
• Exposure to design thinking, journey mapping, or innovation frameworks. 

What you’ll be doing in this role:

• Drive the product vision, strategy, and roadmap for AI‑enabled product initiatives. 
• Gather, prioritize, and translate customer and stakeholder needs into clear product requirements. 
• Understand, articulate and prioritize features based on the value, scope, risk and delivery constraints.
• Lead cross-functional teams to ensure alignment on product goals, delivery timelines and value outcomes, and successful execution of product features and releases. 
• Engage with executive stakeholders to manage expectations and communicate product progress and outcomes.
• Support backlog refinement, sprint planning, and release planning activities
• Define and monitor product performance, collect feedback, and prioritize improvements based on user insights and business impact
• Drive continuous improvement based on feedback, data, and performance insights

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.

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!

Data Architect

You own the data spine of the platform: the canonical event envelope, the multi-tenant transactional store, the read-side projections that power every console view and API response, and the AI/ML data infrastructure that makes the system intelligent rather than just instrumented. This is not a specialist role. We are hiring one person who has done all three surfaces at production depth and can hold the trade-offs simultaneously. The data volume is significant, the schema evolution problem is hard, the tenant isolation requirements are unforgiving, and the AI workloads sit on top of all of it. If any of those three surfaces feel uninteresting, this isn't the role. You'll work shoulder-to-shoulder with the Solution Architect on the canonical data model and with the Senior Developer on implementation. You write the migration playbooks, the upcaster chains, the projection rebuild procedures, and the runbooks that let us sleep at night. 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 data engineering, data platform, or database architecture experience, with at least 3 owning the architecture, not just the implementation.
• Production experience with event-sourced systems. You have personally implemented or evolved an event envelope, dealt with the upcaster chain problem, and lived with the consequences of an early schema decision.
• Deep Postgres expertise: schema design, indexing, query plan analysis, RLS. Not "I've used Postgres" but "I know what I'd do differently from the last team."
• Experience with streaming platforms: Kafka, Redpanda, Pulsar, or Kinesis. You understand the difference between a topic, a partition, a consumer group, and a saga, and you've designed for all of them.
• Production analytical data infrastructure experience: warehouse design (Snowflake, BigQuery, Databricks, ClickHouse) or modern OLAP patterns. You can take an event log and produce a queryable shape that analysts and AI systems can actually use.
• Hands-on AI/ML data infrastructure experience: vector databases (pgvector, Pinecone, Weaviate, Qdrant), embedding pipelines, retrieval patterns. You have shipped a RAG system that worked and you know why most of them don't.
• Strong SQL, strong enough to be the person other engineers go to.

Nice to have

• Drizzle, Prisma, or another modern TypeScript ORM at production depth.
• Workflow engine experience (Temporal, Cadence, Airflow) and the data implications of long-running processes.
• Background in feature stores, ML pipelines, or model evaluation infrastructure.
• Semantic layer experience: dbt, Cube, or Malloy.
• Compliance experience: SOC 2, HIPAA, GDPR, data residency. The audit story is part of the data story.
• Open-source work or public writing on data architecture.

What you’ll be doing in this role:

• The canonical event envelope and schema evolution strategy: how events are versioned, how upcasters chain, how projections rebuild, and how we add fields without breaking history. You write the rules and enforce them in code review.
• The transactional data layer: Postgres schema design, tenant isolation via row-level security, indexing strategy, query patterns, and migration discipline. Every table in a data plane carries a tenant_id and a policy. You make sure of that.
• The read-side architecture: projection design, materialized views, semantic layer for downstream analytics and AI consumption. You decide how we move from event log to queryable shape and how that shape stays cheap to maintain.
• The AI/ML data infrastructure: vector stores, embedding pipelines, retrieval-augmented generation patterns, feature stores where applicable, and the lineage that lets us trust what comes back.
• Data governance: lineage, retention, deletion (right-to-be-forgotten in a multi-tenant event-sourced system is a real problem and you'll solve it), and the audit story for every piece of customer data we touch.
• The operational playbook: projection rebuilds, replay procedures, schema migrations on hot data, vector index maintenance, capacity planning. If the data layer goes sideways at 2am, your runbook is what saves the on-call engineer

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.