About the team 

At Roku, as a Senior Data Scientists you will leverage Big Data to generate insights that fuel Roku’s most significant business decisions. As a Senior Data Scientist, you will also use a combination of technical skills, business intuition, and analytical thinking to partner with business leaders and provide actionable recommendations. Senior Data Scientists at Roku are thought partners to executive business leaders, so communication and presentation are enormously important. Senior Data Scientists do not take direction from business owners and execute ad-hoc questions. You will proactively identify the areas of the data and business that require attention and formulate analyses, insights, and recommendations based on an excellent command of the needs. The Senior Data Scientist role at Roku is a perfect fit for anyone who wants to continue to evolve business domain expertise alongside technical and analytical development.   

About the role

Roku is looking for a Sr. Data scientist to join the Core Analytics team supporting the Operations team. As a Sr. Data Scientist, you will bring strong technical experience retrieving, manipulating, analyzing, and visualizing data.  Just as importantly, you will bring excellent communication skills, proven collaboration track record, and business acumen.   

The ideal candidate will have endless curiosity and can pair a global mindset with locally relevant execution. You should be a gritty problem solver and self-starter who can help drive initiatives with internal stakeholders. The successful candidate will display a balance of hard and soft skills, including the ability to respond quickly to changing business needs. 

This role is hybrid and located in Austin, TX.  Employees are expected to report to the office Monday - Thursday.

What you’ll be doing: 

• Develop and maintain dashboards, reports, and data visualizations to monitor key metrics for operational and systems health 
• Analyze structured and unstructured data and communicate insights to help stakeholders solve business problems, identify trends and make data-driven decisions.  
• Develop data visualizations that illustrate complex platform phenomena using Looker, Tableau etc. 
• Develop necessary data pipelines to power automation, validation and reporting. 
• Use creativity to find proxies where verbatim data or measurement is unavailable 
• Collaborate with stakeholders to align data science initiatives with organizational goals and strategy design and execute AB tests 
• Stay updated with the latest trends and technologies in data science to drive innovation

We’re excited if you have: 

• 5+ years of relevant experience in data analytics, data science or business intelligence role. Previous experience in Logistics, operations, product analytics is preferred. 
• Excellent command of SQL and experience working with Big Data 
• Experience coding in Python or R. 
• Hands-on experience with data visualization platform like Tableau, Looker, or similar
• Statistics knowledge: A/B testing, statistical inference, interpretation of data 
• Have a bias towards action in resolving issues and operate in a high-energy, fast-paced environment 
• Self-driven, highly motivated, and independent minded individual who has a natural curiosity for understanding operations via data. 
• Strong communication skills. Composes and communicates materials and information that is clear, concise, and appropriate to the intended audience. 
• Excellent investigative skills with a passion for finding the root cause of an issue. 
• The ability to work independently and across multiple time zones 
• Ownership mindset, you own end to end lifecycle of a product starting from ideation, rollout to post-launch performance tracking 
• Academic background in math, physics, computer science, economics  

#LI-CU1

We are looking for a Senior Developer Advocate to join our Developer Relations team. In this role, you will focus on engaging SMB customers to help accelerate their success on Atlas and unlock the full potential of the document model, creating inspiring resources and content, and collaborating with a global team of skilled Developer Advocates.

You will empower developers—from startups to fast growing SMBs—to integrate advanced data capabilities into their applications and solutions. If you are passionate about helping developers build, launch, and scale their applications, we invite you to join us in shaping the future of development on MongoDB.

Our Developer Relations teams are distributed across the globe, with most members working remotely. This position will be based in Austin, TX or anywhere in the US. To see what our team is doing, check out our content on YouTube, Dev, and Medium.

Candidate Profile

At the foundation of your passion and expertise is a love to equip others. Our ideal candidate will have at least 3 years of experience in a developer, support, or solutions role. They will have 5+ total years of experience through any combination of builder role (such as data scientist or developer), educator role (such as developer advocate or developer educator), or customer-facing role (such as solution architect). 

You are an effective teacher who can explain complex topics in a simple and easy-to-understand way. You will also develop a strong understanding of MongoDB's core capabilities, data modeling, and emerging trends in our industry. You will guide users to discover the increasing capabilities of our platform including Vector Search and Voyage AI. 

Though the expertise you bring will be unique, our team is built to work together to share knowledge and help each other grow. You will work with your peers and with cross-functional teams (Product, Marketing, Analytics, etc)  at all levels, asynchronously and across time zones, supporting peer reviews of code, demos, sessions, and other content. You should have a genuine passion for equipping other developers to be more productive and successful. 

Position Expectations

• Develop an expertise understanding of core MongoDB database functionality and Atlas features such as Search, Vector Search, Data Federation, Online Archive, and Streaming
• Develop and deliver workshops, webinars, and design reviews for both general audiences as well as for specific customers in order to enable their creation of MongoDB document schemas for their specific workloads
• Communicate insights gathered from developer engagement, through code and content, to inform team members and enable other developers
• Create technical content to evangelize and educate developers across various formats and channels
• Deliver virtual and in-person developer enablement sessions to audiences of up to 400 developers

Requirements

• Experience in creating effective developer-focused code and content
• At least 5 years of experience in both customer-facing and developer-centric roles such as Technical Support, Solutions Architecture, Developer Relations, working with development teams in the design of high performance, scalable database implementations
• At least 3 years of experience (or the equivalent) of consulting with development teams as a non-member of the team
• Proficiency with at least one of the languages most popular with our customers (Java, Python, Javascript)
  Familiarity with 2 or more of the languages popular with our customers (Java, Python, Javascript or Typescript, C#, Rust, PHP)
• Strong presentation skills (both in-person and virtually), with ability in conducting live streams, and public speaking at events
• Written and spoken English language proficiency
• Ability and willingness to travel (up to 10%) primarily within the UK, Europe, and attend team meetings.
• Ability and willingness to shift working schedule to accommodate overlap with US or Asia timezones
• Experience specifically with MongoDB or similar NoSQL/document databases is a plus. 

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

REQ ID: 4263348181

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. 

Team Description:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Senior Scientist, Assay Research 

At Pattern Bioscience, we’re tackling antibiotic resistance, one of the biggest public health challenges of our time. Our platform combines machine learning with single‑cell digitization to identify pathogens and predict drug responses in hours instead of days. Unlike traditional molecular diagnostics (PCR/NGS) that rely on detecting genetic signatures, we build live‑cell, direct‑from‑specimen biochemical assays on our proprietary microfluidic platform. 

We’re looking for an experienced Assay Research Scientist to help shape the next generation of our diagnostic capabilities. This is a hands-on role with a balanced focus, split approximately 50% between wet-lab bench work and 50% toward design, analysis and strategic collaboration. In this role, you’ll collaborate across disciplines while driving the scientific vision behind innovative, high‑impact technology. 

How You Will Contribute 

• Architect & Execute Novel Assays at the Bench: Lead the hands-on creation of biochemical assays, focusing on single-cell metabolic activity and phenotypic responses within picoliter-scale environments. 

• Engineer Stable Chemistries for Raw Samples: Create robust sample-prep and assay chemistries designed to maintain high signal-to-noise and assay stability when working directly with unrefined, high-interference clinical samples.

• Translate Inventions into Patentable Products: Identify and mature novel assay concepts and chemistries that are both patentable and scalable, collaborating closely with engineering to move bench-top breakthroughs into production-ready solutions.

• Turn Single-Cell Data into Biological Insight: Apply deep data analysis to characterize single-cell behavior, providing the high-quality datasets that power our machine-learning models for rapid pathogen ID and drug susceptibility testing.
   

We’d Love to Hear from You If You: 

• Are an Innovator: You’ve built assays or biological measurement strategies from scratch and enjoy creating what didn’t exist before.

• Like to Tinker: You’re comfortable formulating your own reagents, buffers, or micro-environments when off-the-shelf solutions fall short.

• Understand Live Microbe Behavior: You bring deep expertise in microbial metabolism, enzymology, or cell-based signaling and know how to translate biology into measurable outputs.

• Follow the Data: You are relentlessly analytical and data-driven; you are comfortable working outside of Excel to manipulate and interpret complex datasets.

• Thrive on First-of-a-Kind Problems: You’re energized by challenges at the intersection of microfluidics, physical chemistry, and microbiology.

• Tell Clear Scientific Stories: You plan, execute, and analyze complex experiments—then distill the data into crisp, actionable insights.

• Sweat the Details: You care about accuracy, reproducibility, and the small factors that make experiments succeed.

• Embrace the Unknown: You’re comfortable stepping into unfamiliar territory, learning quickly, and solving problems with first-principles thinking. 

Desired Education and Experience 

Ph.D. in Biochemistry, Biophysics, Bioengineering, or Chemistry with 5+ years of experience in assay research and development. 

Single-Cell/Droplet Expertise: Hands-on experience with droplet microfluidics, flow cytometry, or other single-cell "digitization" technologies is highly preferred. 

Proven Innovation: Significant evidence of original contribution to the field through publications or patents. 

Clinical Awareness: You understand the rigor of Design Control (ISO 13485/FDA 21 CFR 820) and how to build a design that is "manufacturable" without compromising performance. 

Microbiology Expertise: Experience working with a broad range of pathogens and infectious disease matrices. 

Key Details 

• Location: Austin, TX  
  A vibrant, progressive, and friendly city with zero personal income tax, as well as a growing economy anchored by over $1B in annual research funding and major 2026 expansions in the IVD market. 

• Type: Salaried | Department: Technology Development  

• Benefits: Health insurance, 401k matching, PTO, and the chance to make a global impact. 
  
  

Join us! Pattern Bioscience is an equal opportunity employer. We value diversity and do not discriminate based on race, religion, color, national origin, gender, age, or disability status. 

WHO WE ARE 🌍

We help creators get more out of every conversation with Instagram-focused automations and support for other channels like Messenger, WhatsApp, and TikTok. The result? Better engagement, more sales, and real, sustainable growth.

With a diverse team of 350+ people spread across three continents, we’re building the leading Chat Marketing platform that is used — and loved — by more than 1.5 million customers worldwide.

WHO WE'RE LOOKING FOR 🌟

See campaigns as a chance to create something people actually remember? Same.

We're looking for an Integrated Campaign Manager who'll elevate our campaigns through smarter strategy, stronger creative, and continuous experimentation. You thrive on ownership, turn ideas into clear campaign visions, and execute brilliantly across channels, not silos.

You're a natural team player who brings perspectives together to make ideas even better and ensure execution matches ambition. You think globally, putting yourself in the shoes of different audiences and considering how campaigns resonate across markets.

You bring data into the mix to learn, improve, and build stronger campaigns over time, keeping stakeholders aligned and energized along the way.

If you’re excited to create campaigns that are both meaningful and measurable, what would you build next?

YOUR FUTURE TEAMMATES 👋

Meet the Marketing team:

We're the voice of Manychat. A voice that's loud, creative, opinionated, and weird in the best possible way. We combine passion, data, and storytelling to cut through the noise and fuel mad growth.

WHY YOU’LL LIKE IT HERE 🤩

Your work won't sit in a folder. It'll be out in the world, driving growth, sparking conversations, inspiring creators, and influencing culture. Got a wild idea? Let’s test it! If you’re sharp, curious, and a little allergic to boring, welcome home.

WHAT YOU'LL DO 🚀

Here’s how you’ll make your mark:

• Own and launch high-impact campaigns across paid, social, content, partnerships, and events—creating cohesive experiences that drive awareness and growth globally.
• Turn vision into execution by building integrated campaign roadmaps that unlock high-value content and storytelling opportunities.
• Push creative boundaries by experimenting with new narratives, innovative formats, and smarter ways to measure success.
• Support go-to-market strategies that connect with real audience needs— spanning product launches, market expansions, and performance-driven initiatives.
• Collaborate across teams to bring campaigns to life seamlessly, working closely with creative, content, brand strategy, co-marketing, paid media, events, and project management partners.
• Adapt campaigns for global impact by partnering with regional teams to ensure relevance across markets and cultures.
• Leverage performance insights by tracking key metrics like conversion, CAC, ROAS, and LTV, and use them to guide smarter decisions.
• Communicate progress and wins clearly to stakeholders, keeping everyone aligned and energized around campaign performance.
• Continuously optimize campaigns by identifying opportunities for improvement and driving iterative enhancements with cross-functional teams.

TO SHINE IN THIS ROLE 💥

• You’ll need to be:
• An experienced Campaign Marketer with at least 5 years managing marketing campaigns
• A master storyteller who knows how to drive emotion while tying all results to the company’s bottom line
• A test-and-learn strategist who believes marketing is about continually challenging the status quo
• A team player who can coach and inspire colleagues as well as roll up their sleeves and support their peers across all levels, with strong interpersonal skills
• A data-driven scientist who can leverage data to make decisions quickly, and isn’t afraid to fail forward
• A customer-obsessed practitioner who knows that all decisions must point to what our customers care about, what their experience looks like, and how we better support them in their journey to find a solution

• It would be great if you have:
• Success stories (pun intended) on how you effectively managed integrated campaigns with compelling layers of storytelling
• A history of international collaboration, or experience managing global campaigns in prior positions
• Early adoption of an Agentic AI approach to marketing/campaign development
• Previous experience in a PLG SaaS company

WHAT WE OFFER 🤗

We care deeply about your growth, well-being, and comfort:

• 📚 Annual professional development reimbursement for conference tickets, online courses, and other relevant resources to help you grow.
• 💙 Comprehensive medical, dental, and vision coverage for you and your dependents.
• 🪴 Hybrid work and generous leave options to prioritize your work-life balance.
• 🍽️ In-office perks, including free meals and snacks.
• 🤝 Company-funded sport activities, annual offsites and team-building events.

Manychat is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual preference, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.

This commitment is also reflected through our candidate experience. If you have individual needs that may require an accommodation during the interview process, please indicate this in your application. We will do our best to provide assistance throughout your interview process to ensure you’re set up for success.

With my application, I accept the Manychat Privacy Policy.

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

• Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
• Opportunities to work on team-based and individual projects  
• Visibility to industry experts  

Job Qualifications:  

• Familiarity with R, SQL, Python, or other scripting languages
• Proficiency in Microsoft Excel
• Attention to detail with big-picture understanding
• Ability to work well in teams
• Highest ethical standards
• Must be enrolled in a PhD program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Integra is hiring entrepreneurial and quantitatively-skilled students/graduates with data analytics experience who are interested in translating their academic interests into the real-world applications  to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. Our main office is also conveniently located adjacent to the UT Austin campus which enables us to closely interface with the academic environment and the university’s top intellectual talent.  

As an intern you will code software used to automate processes, scrape and collect large data sets, and perform advanced econometric analysis. You will have flexibility in the programming language used, but scripting languages such as R, Python, and SQL are used most often. The internship is also designed to give you:  

• Exposure to how technical degrees such as economics, statistics, finance, engineering, computer science, and physics are used in industry  
• Opportunities to work on team-based and individual projects  
• Visibility to industry experts  

  Job Qualifications:  

• Familiarity with R, SQL, Python, or other scripting languages
• Proficiency in Microsoft Excel
• Attention to detail with big-picture understanding
• Ability to work well in teams
• Highest ethical standards
• Must be enrolled in a PhD program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Senior Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will be a key Striveworks representative and technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Working with customers, engineers, and other stakeholders to define clear requirements that solve customers’ problems and leverage the capabilities of our AIOps platform
• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Orchestrating and automating complex data and analytic pipelines
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical field work and interfacing with customers and other stakeholders

This position offers a fully remote work environment, or you can work hybrid/on site at our office in northwest Austin, TX. You will be expected to travel up to 25% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• Bachelor's degree in computer science, machine learning, mathematics, or a related discipline and 6+ years of relevant experience 
• Expertise in machine learning, data science, and their application to image and video data, as well as experience deploying those capabilities to production environments
• Expertise in implementing and analyzing algorithms and data structures
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to DevOps tooling and best practices (e.g., Git, Docker, Kubernetes, CI/CD)
• Eligibility and willingness to obtain and maintain a Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Active Secret (or above) US security clearance
• Graduate degree in computer science, machine learning, mathematics, or a related discipline
• Experience processing a variety of unstructured data types (e.g., imagery, full motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing solutions in a compiled programming language (Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (back end, front end, REST) or solutions targeted for cloud infrastructure (AWS, Azure, GCP) and/or Kubernetes (K8s)
• Experience leading a small team
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $170,000–$200,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

We are seeking an innovative Scientist to join Natera’s Platform Technologies team within the Research & Development organization. In this impactful role, you will conduct pre-product research to develop and advance cutting-edge NGS technologies and expand Natera’s growing technology portfolio by planning, designing, and executing laboratory research. Additionally, you will investigate the feasibility of applying a wide variety of scientific principles and concepts to potential products and problems, based on your broad knowledge of state-of-the-art principles and theories .The ideal candidate will have a strong foundation in molecular biology and demonstrated experience in developing Next Generation Sequencing (NGS) technologies.

Primary Responsibilities:

• Contributes substantially and intellectually to research and development

• Leads research projects to design and demonstrate the feasibility of novel nucleic acid based diagnostic methods

• Defines project plans with stakeholder input and coordinates efforts to achieve milestones within established timelines

• Plans and executes complex laboratory experiments, analyzes data, and applies insights to guide and refine project direction

• Coordinates the execution and analysis of effective experiments with statistics and bioinformatics teams

• Proposes, investigates, and implements innovative solutions to advance research objectives and overcome technical challenges 

• Provides regular updates at project team and departmental meetings on project progress, outcomes, and next steps to ensure alignment and transparency

Qualifications:

• Ph.D. or equivalent in molecular biology, genomics, or a closely related discipline

• Minimum 2 years of industry experience post-Ph.D., or at least 1 year of industry experience following the completion of postdoctoral research

• Hands-on experience with Next Generation Sequencing (NGS) technologies and sample preparation methods, including DNA/RNA extraction, library preparation, target enrichment (e.g. multiplex PCR, hybrid capture), and DNA sequencers 

• Experience conceptualizing, prototyping, and advancing NGS technologies from initial concept to product development 

• Strong research skills with a track record of designing and implementing innovative and scalable solutions

• Proficient in data analysis and statistical testing using tools such as Excel, JMP, R, or Python 

• Proven success in partnering with bioinformatics and data science teams to drive project advancement

• Demonstrated ability to write clear project plans, study protocols, and standard operating procedures

POSITION SUMMARY:

We are looking for a highly motivated Staff Scientist within the Molecular Biology product development team to join a cross-functional team of scientists who are tasked with developing and advancing Natera’s oncology product portfolio.

The Staff Scientist will be working with internal cross functional teams and investigating the feasibility of applying a variety of scientific principles and concepts to oncology diagnostics and monitoring space. The ideal candidate is a driven professional who maintains broad knowledge of state-of-the-art principles and theories with an in-depth understanding of applicability to oncology research.

We are looking for a meticulous and dedicated scientist with experience in both NGS assay development and high throughput automation that can work effectively in a fast-paced environment to ensure that the highest quality clinical assays are developed and launched for our patients.

PRIMARY RESPONSIBILITIES:

• Lead technical projects and associated timelines and deliverables in NGS-based assays as a subject matter expert. Represent the biodevelopment group in cross-functional project teams
• Design, develop, and validate automated high-throughput NGS assays that will be run in a commercial CLIA laboratory
• Mentor junior employees
• Design and execute high complexity experiments and perform data analysis (e.g. JMP, Python, R, Excel)
• Collaborate with assay development scientists on the specifications of assay, reagent, equipment and quality metrics for existing and future production assays
• Work with Clinical Laboratory directors and Quality Assurance to ensure that developed methods meet Natera’s rigorous quality standards
• Coordinate with multiple internal groups (automation engineering, laboratory operations, bioinformatics, statistics, project and product management) and serve as point person to ensure the successful identification and timely execution of projects
• Write documentation and SOPs, and train lab operations operators on protocols. Oversee validation activities
• Participate in post-launch surveillance by troubleshooting production issues, performing root cause analysis on automation, reagent, peripheral equipment and assay failures
• Identify areas for continuous improvement and actively contribute to the effort of introducing better practices to improve production workflows and shorten TAT for patient samples

QUALIFICATIONS:

• MS with 10 years or PhD with at least 7+ years of experience in assay development and automation for the life science industry
• Demonstrated track record of development and validation of automated protocols for CLIA labs

KNOWLEDGE, SKILLS, AND ABILITIES:

• Experience developing, implementing, optimizing, and troubleshooting high-throughput automated assays utilizing liquid handler robots
• Strong understanding of the chemistry underlying nucleic acid extraction, NGS library preparation, and hybrid capture technologies
• Strong individual contributor as well as dedicated team player
• Experience designing and executing studies including stability, guard banding, reproducibility and repeatability, and validation
• Experience working in a regulated laboratory environment under CLIA/CAP, NYSDOH, IVD is a plus
• Data analysis (JMP) required, coding skills (Python or R), and liquid handler programming experience are a plus
• Excellent communication, organizational, record-keeping, planning, attention to detail and time management skills
• Ability to collaborate cross-functionally with other groups (CLIA, LIMS, lab operations QA, Automation, Research)

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

Integra FEC (Financial Economic Consulting) is hiring entrepreneurial and quantitatively-skilled individuals with data analytics experience who are interested in applying their skills to identify, investigate and analyze fraud in various domains, including finance, healthcare and cryptocurrencies. Integra is a boutique economic consulting and forensic analytics firm that has worked with government agencies and private entities to analyze many complex and high-profile schemes. Our team applies data science and econometric techniques and intensely values each employee to take initiative and to be curious while operating as a data detective to solve complex problems. 

Main responsibilities include:

• Plan, develop, and take ownership in data-intensive investigations of financial fraud
• Conduct background research to develop hypotheses of where fraud occurs
• Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
• Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to detect where fraud occurs
• Summarize and present findings to technical and non-technical audiences

Job Qualifications:

Required

• Background in statistics, mathematics, engineering, computer science, data science, economics, or other quantitative field
• Demonstrated experience with R, Python, and/or SQL
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• 2+ years of relevant full-time experience.
• Excellent skills in R, Python, and/or SQL
• Knowledge of financial concepts and principles
• Demonstrated aptitude for research

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Build, Deploy, and Maintain AI for an Unpredictable World

Striveworks helps organizations harness the power of artificial intelligence to solve real-world national security and business challenges by serving as the command center between data, models, and business outcomes. Founded by data scientists and engineers, Striveworks set out to make the journey from deployment to ongoing optimization simple and effective.

With Striveworks, organizations aren’t just deploying AI—they’re building systems that remain reliable, adaptable, and ready to scale in an unpredictable world. Mission-critical operations require models that perform where they’re deployed, scale as workloads grow, and adapt rapidly as AI capabilities advance. Striveworks meets these demands, increasing reliability and performance while lowering costs—and enabling confident, data-driven decision-making in dynamic environments.

The Role

As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products.

You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams.

Your day-to-day will include:

• Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data
• Implementing AI-based software solutions for cloud and edge environments
• Conducting mission-critical fieldwork in support of customers and other stakeholders

This position offers a hybrid/on-site work environment at our office in northwest Austin, TX. You will be expected to travel up to 30% of the time.

The Right Fit

In addition to the specific skills and expertise detailed below, we are looking for individuals who share our values. Sharing a set of values allows us to move at the speed of trust. 

Collectively, we value a high-trust work environment where people respect each other and use candor kindly and constructively. We value work that intersects passion and perseverance, we geek out about the potential of our contributions, and we find joy in working hard on things that matter. Finally, we value taking ownership, having agency, and feeling individual responsibility for collective results.

Here’s what we’re looking for:

• BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience 
• Proficiency in machine learning and data science, and applying both to image and video data
• Proficiency in implementing and analyzing data structures and algorithms
• Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn
• Exposure to software development life cycle and tools (e.g., Git, Agile) 
• Active Secret (or above) US security clearance
• Due to the nature of this role, candidates must have US citizenship

The Wish List

We’re very interested in candidates who possess the above qualifications, and we appreciate and consider the addition of:

• Advanced degree (e.g., MSA, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline
• Experience deploying machine learning and data science, and applying both to production environments
• Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers)
• Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, or telemetry signals)
• Experience building AI agents and agentic workflows
• Experience implementing ETL pipelines, data pipelines, and/or workflow automation
• Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java, etc.)
• Experience building full-stack applications (i.e., back end, front end, REST)
• Experience delivering technology solutions in secure government environments
• Experience working with federal, state, and/or local government customers

The anticipated base pay range for this position is $140,000–$165,000/year. Striveworks’ total compensation package includes a competitive base salary, equity grants, and cash bonuses.

The Benefits

• Medical/dental/vision insurance
• Voluntary life, long-term disability, accident, and hospital indemnity insurance
• HSA and FSA (including dependent care FSA) plans 
• 401(k) plan
• Unlimited PTO
• Paid parental leave

Striveworks is an Equal Opportunity Employer and does not discriminate in employment on the basis of race, color, religion, belief, sex (including pregnancy and gender identity or expression), national origin, social or ethnic origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. Striveworks will not tolerate discrimination or harassment of any kind.

If you require assistance or a reasonable accommodation in the application process, please contact Operations at hr@striveworks.us.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete an employment eligibility verification form upon hire.

Striveworks is a participating employer in the E-Verify program.

POSITION SUMMARY: 

The Associate Scientist within the Molecular Biology product development team will join a cross-functional team of scientists who are tasked with developing and advancing Natera’s oncology product portfolio.

The Associate scientist will be working with internal cross functional teams and investigating the feasibility of applying a variety of scientific principles and concepts to oncology diagnostics and monitoring space. The ideal candidate is a driven professional who maintains broad knowledge of state-of-the-art principles and theories with an in-depth understanding of applicability to oncology research. This position requires flexibility to work outside standard business hours, including some evenings and weekends, to address urgent issues, support high-priority projects, and maintain uninterrupted lab operations.

We are looking for a meticulous and dedicated scientist with experience in both assay development and high throughput automation that can work effectively in a fast-paced environment to ensure that the highest quality clinical assays are developed and launched for our patients.

PRIMARY RESPONSIBILITIES:

• Design, develop, and validate automated high-throughput NGS assays that will be run in a commercial CLIA laboratory
• Participate in post-launch surveillance by troubleshooting production issues, performing root cause analysis on automation, reagent, peripheral equipment and assay failures
• Independently design and execute moderate to high complexity experiments
• Collaborate with assay development scientists on the specifications of assay, reagent, equipment and quality metrics for existing and future production assays
• Work with Clinical Laboratory and Quality Assurance to ensure that developed methods meet Natera’s rigorous quality standards
• Coordinate across multiple internal groups (automation engineering, laboratory operations, bioinformatics, statistics, project and product management) and serve as point person to ensure the successful identification and timely execution of projects
• Write documentation and SOPs, and train lab operations operators on protocols
• Oversee validation activities
• Identify areas for continuous improvement and actively contribute to the effort of introducing better practices to improve production workflows and shorten TAT for patient samples

QUALIFICATIONS:

• BA/BS with 6 years experience or MS with 3 years experience in assay development and automation for the genomics
• Demonstrated track record of development and validation of automated protocols for CLIA

KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong understanding of the chemistry underlying nucleic acid extraction, PCR, NGS library preparation, and hybrid capture technologies
• Hands-on experience in reagent preparation and quality control for NGS-based assays
• Experience implementing, optimizing, and troubleshooting high-throughput automated assays utilizing liquid handler robots
• Data analysis (JMP) required, coding skills (Python or R) are a plus
• Strong individual contributor as well as dedicated team player
• Experience designing and executing studies including stability, guard banding, reproducibility and repeatability, and validation
• Experience working in a regulated laboratory environment under CLIA/CAP, NYSDOH, IVD is a plus
• Excellent communication, organizational, record-keeping, planning, attention to detail and time management skills
• Ability to collaborate cross-functionally with other groups (CLIA, lab operations QA, Automation, Research)

Your Impact

The Senior Machine Learning Research Scientist is a key contributor to DISCO’s machine learning and AI research initiatives, leading the development of advanced algorithms and methodologies. They are a seasoned researcher with a track record of impactful contributions, strategic thinking, and effective collaboration. They play a pivotal role in shaping the direction of our machine learning research efforts.

What You'll Do

• Research Leadership and Innovation: Leads and contributes to impactful machine learning research projects. Drives innovation in the development of advanced algorithms and methodologies. Provides technical leadership and mentorship to junior and mid-level researchers. 
• Operational Excellence and Program Management: Optimizes research processes, workflows, and resource allocation.Manages research programs, overseeing multiple projects and teams. Ensures the successful execution of complex research initiatives. 
• Collaboration and Industry Impact: Collaborates effectively with cross-functional teams and external partners. Engages with industry stakeholders to address real-world challenges. Contributes machine learning expertise to drive industry impact. 
• Strategic Planning and Contribution to Research Community: Contributes to the strategic planning of the organization's research initiatives. Actively participates in the broader research community, including conference involvement. Fosters global collaborations and partnerships to enhance research outcomes.
• Mentorship and Team Development: Mentors and provides guidance to junior and mid-level researchers. Actively contributes to the professional development of research teams. Fosters a collaborative and innovative team culture.

Who You Are

• 6 to 8+ years of relevant experience in machine learning research. 
• Master's, PhD or equivalent research experience in the areas of Computer Science, Machine Learning, Statistics or a related discipline
• Proven track record of impactful research projects and leadership.
• Proven experience in leading or significantly contributing to complex and large-scale research projects.
• Demonstrated ability to oversee project timelines, manage resources effectively, and ensure successful research outcomes.
• Expertise in strategic planning and execution of an organization's overarching machine learning research agenda.
• Contribution to the development and implementation of long-term research strategies.
• Extensive experience in mentoring and providing guidance to junior and mid-level researchers.
• Leadership in managing and leading research teams, fostering a culture of knowledge-sharing and innovation.
• Continued innovation in the development of novel algorithms, methodologies, or applications. 
• Track record of contributing groundbreaking ideas to the field of machine learning. 
• Substantial experience in applying machine learning research to real-world industry problems. 
• A deep understanding of the practical implications and challenges of deploying machine learning models in real-world scenarios.

Even Better If You Have…

• Experience in operational leadership, optimizing research processes.
• Exposure to program management at a project or team level.

Authorization to Work in the U.S.: Candidates must be legally authorized to work in the United States without sponsorship now or in the future. DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Perks of DISCO 

• Open, inclusive, and fun environment
• Benefits, including medical, dental and vision insurance, as well as 401(k) 
• Competitive salary plus RSUs
• Flexible PTO 
• Opportunity to be a part of a company that is revolutionizing the legal industry
• Growth opportunities throughout the company

Integra FEC (Financial Economic Consulting) is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. 

Main responsibilities include:

• Plan, develop, and take ownership in data-intensive investigations related to financial fraud
• Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights
• Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct
• Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides
• Anticipated to grow toward managing projects and communicating with clients

Job Qualifications

Required

• 3+ years of relevant work experience
• Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field
• Demonstrated experience with R, Python, and/or SQL
• Attention to detail
• Intellectual curiosity and interest in fraud analysis
• Highest ethical standards
• Strong teamwork abilities

Preferred

• Excellent skills in R, Python, and/or SQL
• Background in economic/management consulting or finance
• Knowledge of financial concepts and principles
• Knowledge of crypto, decentralized finance, or smart contracts
• Demonstrated aptitude for research

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

ABOUT THIS OPPORTUNITY

We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.

WHAT YOU'LL DO
^{Essential Job Duties & Functions}

• End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
• GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
• MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
• Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
• Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.

WHAT YOU’LL BRING

• 5+ years in a professional Data Science role with a track record of deploying models at scale.
• Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
• Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
• Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
• Experience with ETL/ELT processes, specifically using dbt.
• A strong curiosity for exploring new technologies, including AI
• A shared passion for and ability to demonstrate onX’s Company Values.
• Permanent US work authorization is a condition of employment with onX.

Our Tech Stack

• Data Warehouse: BigQuery
• Orchestration: Airflow (Cloud Composer)
• Modeling: Vertex AI Pipelines, JupyterLab
• Deployment: Docker, GKE (Google Kubernetes Engine)

Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.

What Sets You Apart

• The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
• Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
• Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.

THE ONX EXPERIENCE

onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.

While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.

Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.

WHERE YOU CAN WORK

onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.

HOW YOU’LL BE COMPENSATED

onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.

WHAT WE’RE OFFERING YOU

• Competitive salaries, annual bonuses, equity, and opportunities for growth
• Comprehensive health benefits, including a no-monthly-cost medical plan
• Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
• 401k matching at 100% for the first 3% you save and 50% from 3-5%
• Company-wide outdoor adventures and amazing outdoor industry perks
• Annual “Get Out, Get Active” funds to fuel your active lifestyle
• Flexible time away package that includes PTO, STO, VTO, and paid holidays

PERFORMANCE ESSENTIALS

In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com. 

Application Deadline is [day of week], [month] [day] at [0:00 pm] MST

Position open until filled. 

#LI-Remote

POSITION SUMMARY:

The Manager, Clinical Lab is a key leader in Natera’s lab operations who oversees and directs the development, planning, implementation and maintenance of manufacturing methods, processes and operations for new or existing products and technologies.  The Manager works closely with groups to ensure strict compliance with good manufacturing practices and CLIA/CAP guidelines at all times.  Ensures the effective use of materials, equipment and employees in producing quality products.  Monitor and control staffing / labor, capital expenditures, and manufacturing performance.  Develops budget and monitors expenditures.  Formulates and recommends manufacturing policies, procedures and programs.  Selects, develops and evaluates line-management to ensure the efficient operation of the function.

PRIMARY RESPONSIBILITIES:

• Under the direction of Senior lab leadership, and in close collaboration with other Laboratory leadership, this individual provides operational and strategic leadership to laboratory products assigned to the individual.

• Generates and routinely provides executive-level production/departmental summaries.

• Monitors workflow and ensures production goals and deadlines are met (e.g. TAT, SLA)

• Engages in future planning and scales employees and equipment appropriately

• Gathers and monitors metrics on production deadlines, efficiency, scrap waste, and error rates Monitors the quality control/assurance programs, test results, and equipment (if applicable)

• Uses metrics in decision-making and to drive changes across the team (e.g. cost reduction, quality improvement)

• Manages sufficient headcount levels to meet production goals by proactively driving the interview process and managing employee PTO and overtime when necessary.

• Refines current lab process through continuous improvement projects.

• Oversees team-specific lab operations.

• Go-to person when Senior lab leadership is not present; go-to person for knowledge of process and product.

• Responsible for seamless transition of automation and test improvement/additions into a production workflow

• Analyzes and troubleshoots lab processing errors; provides recommendations on how to proceed to lab director, scientists, and statisticians as necessary

• Supports Supervisors in the closeout of NCRs.

• Responsible for the initiation and closeout of CAPAs in a timely manner.

• Ensures departmental lab compliance for regulatory bodies

• Ensures tests are being completed according to approved procedures.

• Maintains an organized, safe, and efficient work area for the team at all times.

• Actively interacts with interdepartmental teams such as OPS, Accessioning, Engineering, Stats, R&D, and Support.

• Handle employee issues: complaints, disciplinary actions, etc. Collaborates with Senior Manager and/or Human Resources to resolve issues. • Knows and is ready to explain Natera’s core values. Explains (as much as possible) reasoning behind instructions/processes given/changes that are made. If necessary, explains to the team why certain ideas cannot be implemented effectively. Meets regularly with Supervisors to discuss goals and progress.

• Performs routine skip-levels with individual team members.

• Responsible for performance review of direct reports and overseeing performance review of the entire staff.

• Plans and leads team meetings • Develops high-performing employees by providing them with learning opportunities, cross-training opportunities, and new challenges whenever possible.

• Recognizes and rewards talent through merit reviews, promotions, and recognition programs

• Adheres to Departmental Expectations • Manages the training program for direct reports.

• Notifies management of all requirements for tools, supplies, etc.

• Receives assignments in the form of objectives and determines how to use resources to meet schedules and goals.

• Provides guidance to subordinates within the latitude of established company policies. Recommends changes to policies and establishes procedures that affect immediate organization(s).

• Manages, perhaps through subordinate supervisors, the coordination of the activities of a section or department with responsibility for results, including costs, methods and staffing. In some instances this manager may be responsible for a functional area and not have any subordinate employees.

QUALIFICATIONS:

• BS/BA degree in Biological Sciences, related field, or equivalent

• A minimum of 3+ years of relevant leadership experience and/or effectively managing a team preferred

• A minimum of 5+ years of industry-related experience preferred

• Current ASCP board certification in Medical Technology or California State CLS or CGMBS license (Clinical Genetics Molecular Biologist Scientist) is required

KNOWLEDGE, SKILLS, AND ABILITIES:  

• Exceptional multi-tasking, organizational, and communication skills.

• Excellent computer skills, including MS Excel.

• Able to be detailed oriented and can organize, prioritize.

• Strong problem-solving skills.

• Independent self-starter comfortable working in teams at all levels

• Experience in building and managing a high performing group of engaged and motivated employees

• Experience with working on a Laboratory Operations floor

• Knowledge and experience with Lean Six Sigma concepts and tools

• Manufacturing/Engineering experience preferred

About the Team

Our team is dedicated to advancing the future of autonomous driving technology by developing the metrics and evaluation frameworks that ensure the safety, performance, and readiness of self-driving systems. We work closely with engineering teams to analyze real-world and simulated driving data, enabling data-driven decisions that accelerate the commercialization of autonomous vehicles. Our work directly impacts critical questions such as: ‘How well does the vehicle handle complex intersections? Does it provide a passenger-safe experience during maneuvers? How do we statistically validate readiness for urban deployment?’

About the Role

We are seeking a skilled Data Scientist to join our team and play a pivotal role in defining and evaluating the performance of autonomous vehicle systems. You will design and implement quantitative metrics to assess driving behavior, safety compliance, and passenger comfort. Your work will involve analyzing large datasets, applying statistical methods, and collaborating with cross-functional teams to ensure our self-driving systems meet the highest standards of safety and reliability. This role offers the opportunity to make a significant impact on the future of autonomous driving technology.

What You'll Do

• Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
• Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
• Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
• Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
• Build scalable data pipelines to automate metric computation and reporting.
• Review driving logs and participate in test rides to ground analyses in real-world performance.

What You'll Need

• 2+ years of experience in data science, applied statistics, or metrics development.
• Proficiency in Python and SQL for data analysis.
• Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
• Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
• Ability to communicate technical findings to cross-functional stakeholders.

Nice to Have

• Experience with machine learning (e.g., model evaluation, feature engineering).
• Familiarity with big data tools (Spark, Hadoop, MapReduce).
• Knowledge of traffic regulations or automotive safety standards (e.g., NHTSA).

At Realtor.com® , we’re on a mission to revolutionize the way people find and secure their dream homes. Every day, we process terabytes of data to power intelligent search and personalized recommendations that serve millions of home buyers, renters, and real estate professionals. Our core search engine sits at the heart of this experience—helping users discover the right home faster, with greater confidence.

As Lead Product Manager for Personalization & User Intelligence, you will define and lead the strategy for a suite of foundational capabilities that power personalized, timely, and context-aware experiences across Realtor.com® ’s platform. These systems are critical to understanding our users’ intent, surfacing relevant content, and delivering the right message through the right channel at the right time.

You will be responsible for building scalable systems that understand user preferences, extract intelligence from geographic and behavioral data, and orchestrate personalized experiences across touchpoints. Your work will play a vital role in improving user engagement, driving retention, and enabling product teams to move faster through reusable, intelligent services.

This is a highly strategic and cross-functional role, visible at the executive level, with the opportunity to transform how users interact with Realtor.com® by infusing personalization, intelligence, and orchestration into every experience.

What You'll Do:

• Define and execute a visionary roadmap for User & Geo Intelligence and Property Intelligence —enabling contextual, personalized content delivery across surfaces.
• Lead efforts to deeply understand our users by consolidating behavioral signals, inferred preferences, and geo-spatial data into actionable user intelligence models.
• Collaborate with product teams across the company to integrate user and geo intelligence into the full consumer experience, from search, to recommendations, marketing campaigns, and CRM workflows. You will make listing recommendations a core part of the consumer experience.
• Drive adoption of reusable personalization services that unlock scalable and consistent user experiences across product surfaces.
• Evangelize your roadmap and product vision clearly across the company, delivering executive-level updates and articulating measurable impact.

How we work:

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

What you'll bring:

• 8-10 ~~12+~~ years of product management experience, with at least 2 years owning backend platforms or infrastructure services related to machine learning models.
• Former data scientist or machine learning engineer turned product manager strongly preferred
• Bachelor’s degree or equivalent experience.
• A strong strategic mindset with a demonstrated ability to define platform roadmaps that scale across multiple product domains.
• Proven track record of driving impact through intelligent messaging platforms, real-time orchestration engines, or user modeling systems.
• A deep understanding of experimentation frameworks and how to measure impact through engagement, retention, and lifecycle conversion metrics.
• Strong data literacy; comfortable working with SQL, KPIs, dashboards, and partnering with data science on model iteration and success criteria.
• Excellent communication and stakeholder management skills with the ability to influence leadership decisions and align technical execution with strategic business goals.
• A passion for crafting personalized, respectful, and value-driven user experiences that scale.

How we Reward you:

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

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

Why Join Us?

Realtor.com® is at a pivotal moment of digital transformation. In this role, you’ll set the standard for what modern, AI-driven search and discovery means for real estate. You’ll be at the heart of initiatives that redefine consumer expectations and shape the future of real estate engagement at scale.

Apply now to lead with vision, innovate with confidence, and build the next generation of Realtor.com® 's industry-defining search platform.