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.

Title: Actuarial Data Scientist

Location: San Francisco Bay Area, CA / Austin, TX / Dallas, TX / Morristown, NJ (Flexible / Hybrid)

Reporting to: Director, Actuarial

Open to Relocation? We’ve Got You Covered: 

This role is open to candidates willing to relocate to one of our hub locations. Hippo offers relocation assistance to support your move, so you can focus on doing impactful work—not the logistics of getting here.

About Hippo:

Hippo exists to protect the joy of homeownership. We believe that insurance should protect the things you treasure through an intuitive, modern experience. We provide tailored insurance coverage and preventative maintenance plans that keep you protected throughout your homeowner journey. We’ll also help you find coverage for everything life brings—from auto to flood—reimagining how you care for your home.

About This Role:

We’re hiring an Actuarial Data Scientist to lead loss cost modeling for Hippo's Homeowners program. This role will own the design, development, and deployment of predictive models for frequency and severity, ensuring strong alignment with pricing strategy and business objectives. You'll build and scale Python-and SQL-based tooling that embeds expected loss ratio and segmentation analytics into reusable, production-ready workflows. In addition to leading loss cost modeling, you'll have the opportunity to expand the team's modeling capabilities across the demand and aggregation models to inform broader pricing and business mix decisions. 

About You:

You are a hands-on leader with a strong background in loss modeling. You bring structure to ambiguity, enjoy building scalable work, and take pride in developing people on your team. You think critically about model maintenance cost and you balance scientific rigor with practical business impact. You communicate clearly, document thoroughly, and operate with a strong sense of ownership.

What You’ll Do:

• Lead a homeowners insurance modeling, setting clear priorities, technical standards, and best practices while fostering a culture of ownership, rigor, and continuous improvement 
• Own the design and annual build of our by-peril loss models
• Expand modeling capabilities across conversion, retention, and aggregation to inform pricing strategy, business mix, and portfolio performance 
• Implement and scale models within our Airflow-based Python modeling pipeline, ensuring robust testing, validation, reproducibility, and long-term maintainability
• Develop reusable analytical tooling and workflows that improve efficiency, consistency, and scalability across the actuarial team
• Partner cross-functionally with Insurance Product, Underwriting, and Engineering to translate complex modeling insights into clear business recommendations and ensure successful production deployment

Must Haves:

• Bachelor’s degree in statistics, mathematics, data science, or another quantitative field
• 5+ years of experience in data science, analytics, or actuarial modeling within personal lines P&C insurance
• Strong experience with loss cost modeling; exposure to demand, underwriting, and/or claims modeling
• Knowledge of actuarial principles as they relate to insurance pricing
• Advanced proficiency in Python and SQL
• Excellent communication skills and ability to build trust with stakeholders at all levels

Nice to Haves:

• Actuarial credentials - ACAS/FCAS
• Master’s degree in a quantitative discipline
• Experience working in modern data platforms, including familiarity with cloud infrastructure (e.g., AWS) and workflow orchestration tools (e.g., Airflow)

The base pay range for this role is $145,000- $160,000 for our Texas (Austin and Dallas regions). The SF Bay Area (and New Jersey) base pay range for this role is $155,000- $180,000. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, location, business needs and market demands. 

Benefits and Perks:

Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: 

• Relocation Assistance - Support available for qualified candidates relocating to one of our hub locations
• Healthy Hippos Benefits - Multiple medical plans to choose from and 100% employer covered dental & vision plans for our team members and their families. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) 
• Equity - This position is eligible for equity compensation  
• Training and Career Growth - Training and internal career growth opportunities 
• Flexible Time Off - You know when and how you should recharge 
• Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers 
• Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees 

Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion.  

Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known. 

As a Software Engineer – Data Pipelines / ETL / MLOps you will be responsible for;

We are looking for a Software Engineer with strong experience in data engineering and machine learning operations. This role will focus on building and maintaining scalable data pipelines and supporting ML systems in production.

• Design and implement scalable data pipelines and ETL workflows
• Develop and optimize SQL queries and data models
• Build and maintain MLOps infrastructure (model deployment, monitoring, retraining)
• Ensure data quality, reliability, and performance
• Collaborate with data scientists and engineers to productionize ML models
• Manage large datasets across distributed systems

Qualifications;

• 3–6 years of experience in data engineering or backend development
• Strong SQL and ETL pipeline experience
• Experience with tools like Airflow, Spark, or Kafka
• Familiarity with MLOps tools (e.g., MLflow, Kubeflow)
• Proficiency in Python or Scala
• Experience with cloud data platforms (Snowflake, BigQuery, Redshift)

Salary Range: $90,000 – $130,000

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate’s combination of job-related knowledge, qualifications, skills, education, training, and experience 

Beacon Dx is on a mission to transform clinical diagnostics for sleep and brain health. We are building the leading home-based platform for precision diagnostics, combining EEG and cardiopulmonary signals to deliver comprehensive, reimbursable assessments for sleep and central nervous system disorders. Our solution integrates multi-channel physiological data—including airflow, respiratory effort, oxygen saturation, and brain activity—into a single streamlined workflow powered by AI-enabled analytics. With a dedication to patient experience and a foundation in FDA 510(k)-cleared technology, Beacon Dx enables high-quality diagnostics at scale. We are redefining how patients are evaluated and managed for conditions that affect brain and sleep physiology—bringing clinical-grade insights directly to the home.

The National Director, Strategic Accounts & Business Development will operate within the Beacon Dx commercial organization, driving enterprise growth, strategic partnerships, and regional market expansion. This role is responsible for scaling adoption of Beacon’s home sleep testing platform by securing high-value accounts and building repeatable business development channels.

The role reports directly to the National Vice President of Clinical Sales and does not have direct people management responsibility initially, but is expected to lead cross-functional initiatives and influence internal stakeholders across Sales, Clinical Enablement, Operations, and Product.

This position is Texas-based, with a preferred location in Dallas or Houston, and requires extensive travel across a defined regional territory (TX, OK, LA, MS, TN, OH) as well as nationally for strategic account development.

What success looks like:

• Drive adoption of Beacon HST across enterprise and multi-site health systems
• Own and expand the company’s most strategic and high-value accounts
• Build and execute business development channels that extend beyond direct sales
• Consistently meet and exceed combined regional and strategic revenue targets
• Maintain a disciplined, accurate, and actionable pipeline within Zoho CRM
• Successfully navigate complex, multi-stakeholder sales cycles and close enterprise agreements
• Displace incumbent diagnostic solutions through clinical and economic differentiation
• Develop and leverage Key Opinion Leaders to accelerate market adoption
• Partner cross-functionally to ensure strong onboarding, utilization, and retentionLead complex deal structuring, including multi-year agreements and enterprise pricing models
• Represent Beacon Dx at industry conferences and strategic customer engagements
  

What you will bring:

• 7+ years of medical device or healthcare sales experience
• 4+ years in sleep diagnostics, cardiopulmonary, or adjacent clinical markets
• Demonstrated success in enterprise sales and strategic account management
• Proven ability to build new markets, partnerships, and revenue channels from the ground up
• Experience selling into complex healthcare environments, including physicians, administrators, and executive stakeholders
• Strong executive presence with advanced communication and negotiation skills
• Ability to operate independently with high accountability in a fast-paced, scaling organization
• High level of discipline in pipeline management, forecasting, and CRM utilization (Zoho preferred)
• Willingness to travel extensively across regional and national territories

Preferred qualifications:

• Experience managing multi-site or IDTF-based accounts
• Background in diagnostic, sleep, or remote patient monitoring technologies
• Exposure to early-stage or high-growth commercial environments
• Demonstrated ability to influence without direct authority across cross-functional teams
• MBA or other advanced degree