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Staff Analytics, Product & Marketing Mountain View, US Apply About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We are seeking a Staff Analyst to partner closely with the CMO and product leadership to drive user growth and engagement. This leader will shape and drive the analytics strategy, mentor and develop the team, and collaborate cross-functionally with Marketing, Product, and Engineering to translate business needs into actionable insights. The primary goal of this position is to architect and build agentic workflows that transform how analytics operates: design AI-driven pipelines that work autonomously, surface insights proactively, and scale decision-making across the organization. You bring both the strategic vision to see where automation unlocks the most value, and the hands-on depth to get into the data and build it yourself. The Mountain View base salary range for this full-time position is $215,000 to $263,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. This is a hybrid position in Mountain View, requiring in-office work 2 days a week. WHAT YOU'LL DO Collaborate with Product, Engineering, Marketing, and cross‑functional partners to inform, influence, and execute strategy across product and growth surfaces. Build AI‑driven analytics agents that automate workflows such as experimentation readouts, funnel diagnostics, anomaly detection, and business reviews, and partner with Engineering to productionize these systems at scale. Develop and maintain experimentation, causal measurement, and product analytics frameworks that support acquisition, activation, engagement, retention, monetization, and LTV. Design and implement measurement and modeling approaches across paid, owned, and product surfaces, using uplift modeling, causal inference, and experimentation rigor (MMM optional). Develop a deep understanding of complex product and marketing systems to identify opportunities, risks, and levers for growth. Communicate insights clearly to technical and non‑technical audiences, influencing product and marketing roadmaps through data, modeling, and AI‑driven insights. WHAT WE'RE LOOKING FOR 7+ years in analytics, data science with deep hands‑on execution. Strong technical skills in SQL, Python, experimentation, and statistical modeling. Experience building AI‑driven analytics workflows (LLMs, agents, automation, or similar). Solid background in product and growth analytics across activation, engagement, retention, and monetization. Experience with causal inference, uplift modeling, and experimentation frameworks. Ability to operate as a high‑leverage IC who partners closely with executives and cross‑functional leaders. Excellent communication and storytelling skills for technical and non‑technical audiences. Experience in fintech, consumer tech, or data‑driven product organizations is a plus. Familiarity with modern data stacks (Databricks, Snowflake, dbt, Amplitude, Looker) is a plus #LI-Hybrid A Note on AI in the Hiring Process: EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that generate summaries or notes for interviewers, review resumes, assist with scheduling, or help identify themes across candidate responses and profiles for a given role. Final hiring decisions are made by human interviewers and hiring managers. If you have any concerns about the use of AI in our hiring process, please connect with your recruiter. With your consent, EarnIn may use AI tools to help transcribe or summarize interviews. Recordings are treated as confidential candidate data and are accessible only to authorized hiring personnel. Declining to be recorded will not negatively affect your candidacy or evaluation. At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant. EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team. Get new jobs like this in your inbox We'll email you when EarnIn posts a job like this one. Create alert Apply for this job * indicates a required field Autofill my application First Name* Last Name* Email* Phone Country* Phone* Location (City)* Locate me Resume/CV* Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Cover Letter Attach Attach Dropbox Google Drive Enter manually Enter manually Accepted file types: pdf, doc, docx, txt, rtf Are you legally authorized to work in the country that this role is based?* Select... Do you need, or will you need in the future, any immigration-related support or sponsorship from EarnIn in order to begin or continue employment with EarnIn?* Select... What is your preferred pronoun? Select... Do you have a preferred name you would like to be called? 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Listed by Earnin for a position based in the United States. Employers on this board attest they are hiring domestically.

Engineering

90 days ago

Senior Solution Architect

Matillion · West Coast USA

Pay

$125k–188k

Setting

Remote

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🍪 dismiss Privacy Notice This website uses cookies to improve your web experience. By using the site, you agree to the use of cookies. Senior Solution Architect West Coast USA / Denver, COGo-To-Market – Field Engineering /Full Time /Remote APPLY FOR THIS JOB Are you ready to shape the future of data? Matillion is the company behind Maia, the AI Data Automation platform. In the AI economy, demand for data is exploding. Manual data engineering can’t keep up. Maia fixes that by combining 15 years of data expertise with agentic AI to eliminate the manual work that slows data teams down. Organisations like Cisco, DocuSign, and Slack are already using it to deliver real business impact, faster. We started in Manchester and now we’re global - with teams across the UK, US and India. We are driven, curious, energetic people who move fast, think big and hold ourselves to a high standard. We’re here to make a dent in the universe bigger than ourselves. And we’re looking for people who want to be part of it. The Senior Solution Architect at Matillion plays a key role in Matillion’s GTM motion. This role is responsible for discovering customer requirements, demonstrating how Matillion’s solutions solve their challenges, and driving business value through the platform. The Solution Architect is a consultative and adaptable team player who combines solution selling, technical expertise, and a customer-centric approach to engage in high-level technical discussions and foster long-term customer relationships. Discovering Customer Requirements Diagnose technical and business pain, confirming root causes and negative consequences. Engage key stakeholders to confirm desired future state, mapping it to success metrics and business outcomes. Support customer digital sales rooms, providing technical input and ensuring alignment between sales and technical teams. Validating Solution Fit Lead workshops, trials, or POCs to validate solution fit with business objectives. Position competitive advantages to influence trial success criteria. Guide customer teams to integrate our solutions into their data stacks during trials while driving measurable business outcomes. Support technical aspects of credit sizing estimates. Customer Onboarding and Growth Actively support customer cadences and business review meetings ensuring platform adoption, achievement of business goals, and driving customer engagement. Identify and drive opportunities for upselling and expansion, ensuring customers realise value by increasing platform consumption through new workloads and groups. Cultivate trusted advisor relationships with customers through cadences to set up technical infrastructure, rapidly achieve first value, and create long term customer engagement. Monitor adoption dashboards for key success indicators, proactively driving consumption upward, and ensuring the timely resolution of issues. Marketing and Thought Leadership Create technical content and case studies that demonstrate how Matillion’s solutions address customer challenges. Represent Matillion as a technical expert at industry events, conferences, and user groups, fostering a strong brand presence. Product Feedback & Improvement Collect and communicate customer feedback to the Product and Engineering teams, ensuring continuous product improvements and alignment with market needs. Stay informed about industry trends and best practices in data integration, cloud computing, and data transformation, sharing insights with both customers and internal teams. What we are looking for 5-7 years working with Enterprise customers in a technical role, such as Solution Architect, Sales Engineer, or similar. Expertise in cloud computing platforms such as AWS, Azure, or GCP and experience with Cloud Data Platforms like Snowflake and Databricks. In-depth understanding of relational databases (PostgreSQL, MySQL, Oracle, SQL Server) and NoSQL databases (MongoDB, Cassandra, DynamoDB). Hands-on experience with technical problem-solving and integration technologies (APIs, Linux, SQL). Strong communication and presentation skills, with the ability to engage both technical and non-technical stakeholders. Nice to have Knowledge of Matillion’s Data Productivity Cloud or Matillion ETL platforms as well as competitive ETL solutions Experience with value-based sales motion, especially through MEDDPPICC and Command of the Message Knowledge of big data technologies (Spark, PySpark), data lakes, and MPP databases (Teradata, Vertica, Netezza) Familiarity with version control tools such as Git, and experience with Python Degree in Computer Science or related field (or equivalent practical experience) Experience using Salesforce At Matillion, we are committed to providing compensation in line with market standards based on the role, job family, job level, and country. This role’s estimated annual salary range is $125,272 - $187908. Because this role is eligible for variable pay in the form of sales commissions, your total annual on-target annual earnings will be between $178,960 - $268,440. The final salary will be based on your relevant skills, experience, and qualifications demonstrated in the hiring process. More about Matillion We operate a flexible working culture that promotes work-life balance, with benefits including: Company Equity 25 days PTO 5 days paid volunteering leave Health Insurance Life Insurance Access to mental health support 401k Your Safety Matillion recruiters will only contact you from @matillion.com email addresses. We occasionally work with trusted recruiting partners; they will always tell you they are working on our behalf. We will never ask for money, fees, or bank details at any point in the hiring process. If something feels off, trust that instinct. Don't click any links. Go straight to matillion.com/careers to verify open roles or reach us at talent@matillion.com. Want to know more? Don't tick every box? Apply anyway. We hire for potential, not just experience. A member of our Talent Acquisition team will be in touch. Cannot find anything suitable role right now? We still want to hear from you. Drop us a line at talent@matillion.com. Find out more about life on #TeamGreen here. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type. Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. APPLY FOR THIS JOB Matillion Home Page Jobs powered by

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