Maleda Tech

• Lead end-to-end process improvement initiatives, from discovery and root-cause analysis through design, implementation, and measurement. • Map current-state workflows, surface bottlenecks, and quantify the impact of inefficiencies using data. • Design and document future-state processes, including standard operating procedures, controls, and success metrics. • Partner with cross-functional stakeholders across operations, product, finance, and other teams to align on priorities and secure buy-in. • Facilitate workshops and working sessions to gather input, build consensus, and drive decisions. • Define and track KPIs to measure the effectiveness of process changes and report progress to leadership. • Identify opportunities for automation and tooling to reduce manual effort and improve consistency. • Coach and enable teams to sustain improvements after rollout.

• Define and own the product strategy and roadmap for your area. • Translate business goals and customer needs into a prioritized backlog. • Write clear product requirements, lead discovery, and partner with engineering and design from concept through launch and iteration. • Use quantitative and qualitative data to identify opportunities, frame hypotheses, and measure impact. • Collaborate with cross-functional partners across marketing, operations, analytics, and leadership to align on priorities and communicate progress. • Run experiments, learn quickly, and continuously refine the product based on results. • Champion the customer and keep the team focused on the highest-impact work.

• Design and own marketing measurement methodologies, including incrementality testing, marketing mix modeling, multi-touch attribution, and experiment design • Build statistical and machine learning models to evaluate channel effectiveness, forecast outcomes, and inform budget allocation • Translate ambiguous business questions into rigorous analytical plans and deliver findings to both technical and non-technical stakeholders

• Plan, write, edit, and publish high quality content across web, blog, email, social, and in product channels. • Maintain a consistent voice, tone, and style across all content, and help refine content guidelines as the brand evolves. • Partner with marketing, design, product, and subject matter experts to turn complex topics into clear and engaging stories. • Manage an editorial calendar, balance multiple projects at once, and keep work moving against deadlines. • Optimize content for SEO and accessibility, and use performance data to improve future work. • Review and proof content for accuracy, clarity, and quality before it goes live.

• Design, build, and maintain scalable backend services and pipelines that ingest, index, and serve knowledge content from many sources. • Develop and improve search and retrieval experiences, including relevance ranking, indexing, and the integration of large language model and retrieval augmented generation techniques where they add value. • Model and manage structured and unstructured data so that it stays accurate, discoverable, and well governed. • Collaborate with product managers, data scientists, and other engineers to translate ambiguous problems into clear technical plans and shipped features. • Write high quality, well tested code, conduct thoughtful code reviews, and raise the engineering bar for the team. • Monitor system performance, troubleshoot production issues, and continuously improve reliability and scale.

• Define and own the business development strategy for product enablement. You will work closely with Product Marketing and Engineering to build a deep understanding of the product roadmap and identify where third-party partnerships can unlock, accelerate, or improve planned products. • You will build a proactive pipeline of partner opportunities rather than waiting for inbound requests, and contribute to the broader platform partnerships strategy over time. • Act as the primary business development liaison to the Product Marketing organization. You will develop trusted relationships with product leads and maintain ongoing visibility into the roadmap so that partnership needs are anticipated well in advance of product timelines. • Lead the end-to-end deal process for priority partnerships, from initial outreach and scoping through negotiation, term sheet, and contract execution. You will develop and refine commercial frameworks across a range of deal types, from data licensing and API agreements to broader technology and service partnerships, structuring deals that reduce cost and vendor dependency over time while protecting strategic flexibility. • Develop a clear point of view on build versus buy versus partner tradeoffs across the technology stack and bring well-reasoned recommendations to Product and Engineering leadership. • Work cross-functionally with Finance, Legal, Product, and Engineering to align on partner profiles, model costs and revenue opportunities, define success metrics, and develop contracting frameworks. You will represent partnership opportunities clearly and compellingly to senior internal stakeholders and build the consensus required to move quickly on priority deals. • Develop deep expertise in the data, technology, and service provider landscapes most relevant to the product roadmap, anticipating market shifts and emerging capabilities. You will also define the KPIs, reporting frameworks, and partner feedback loops needed to evaluate new partnerships and capture learnings that allow product partnerships to scale globally over time.

Role Description We are looking for an experienced Advanced Analytics Contractor to act as a senior analytics partner for a leading consumer technology product organization. This is a hands-on, execution-focused engagement designed to accelerate progress on high-priority analytics needs during a period of constrained capacity. You will deliver high-impact analysis, experimentation, and reporting that directly informs product strategy and business decision-making. Success in this role means operating independently, partnering closely with cross-functional stakeholders, and consistently delivering high-quality outputs on agreed timelines. What You Will Do - Own and deliver advanced analytics for defined product and business domains, working with large and complex datasets to answer high-priority questions using statistical, causal, and exploratory techniques. - Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure feature impact and inform product iteration. - Develop and validate metrics and dimensions that monitor product performance and business outcomes. - Build and maintain analytical artifacts such as queries, dashboards, and readouts that enable stakeholders to make informed decisions. - Partner with Product, Engineering, Finance, Data Science, and Analytics teams to align on methodology, assumptions, and interpretation. - Communicate clear, concise insights and recommendations through written and verbal channels, including leadership-ready readouts. - Leverage AI-assisted tools such as ChatGPT and Claude to increase efficiency and automate repetitive analytical tasks where appropriate. Qualifications - 5+ years of experience in advanced analytics, data science, or applied quantitative analysis in an industry setting. - Strong hands-on expertise in SQL and at least one programming language (Python or R). - Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems. - Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines. - Strong analytical judgment, with the ability to balance rigor with speed and clearly communicate tradeoffs. - Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines. - Strong stakeholder communication skills, with the ability to translate complex analyses into actionable insights. Preferred Qualifications - Experience in marketplace, product analytics, or business strategy contexts is strongly preferred. - Familiarity with AI-assisted analytics workflows is a plus. Key Details - Location: Remote, US based. - Start Date: June 2026 - Duration: 6 months, with strong possibility of extension - Work Schedule: Full-time, 40 hours per week (8 hours/day, 5 days/week). PST strongly preferred - Pay Rate Range: $100-$128 per hour - Position Type: Contract

• Function as a "solution detective," sitting between cross functional leads, technical teams, and acquisition reps to investigate and resolve host related issues end to end. • Translate complex technical issues into clear, easy to understand summaries and instructions for both internal stakeholders and hosts. • Communicate directly with hosts via email, video call, or Zoom (approximately 25% of your time) to walk them through issues, resolutions, and best practices. • Track tickets, maintain accurate data hygiene across all systems, and report out on host needs and trends with a solution oriented mindset. • Build and maintain a knowledge base of common issues and resolutions, contributing to ongoing process improvements. • Partner with scaled operations teams to implement small scale changes that reduce friction in the acquisition and onboarding funnels.

• Conduct strategic deep dives into customer experience drivers (cleanliness, check-in, communication, etc.) covering symptom, root cause, and recommended intervention. • Design, execute, and analyze A/B tests and quasi-experiments to measure the impact of quality and blueprint initiatives, with sharp attention to two-sided marketplace nuances. • Build and apply causal inference frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes. • Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data and scale root-cause taxonomy generation across millions of trips. • Develop and validate metrics that monitor customer experience health and surface emerging quality issues. • Build and maintain analytical artifacts (queries, dashboards, readouts) that let stakeholders self-serve. • Translate complex analyses into clear, concise insights and recommendations for senior leadership.

• Work through a defined backlog of approximately 1,000 vendors at a target velocity of about 40 vendors per week (roughly one hour of production time per vendor) • For each vendor, identify the right point of contact and collect three specific pieces of information: the email address where DSR requests should be sent, the lookup table showing which users have been sent to that vendor, and the unique identifier used for processing requests in the vendor's system • Reach out to internal points of contact (potentially hundreds across the company) and, where needed, directly to vendors to gather the required information • Set up meetings, send communications, and persistently follow up to obtain required data on schedule • Compile and organize the collected information into a clean handoff for engineering, who will perform the technical validation of tables and unique identifiers • Track progress and report status week over week to the privacy operations lead and broader stakeholders • Proactively identify optimization opportunities (e.g., process improvements, alternative outreach approaches) and surface them to the project lead • Partner cross-functionally with Privacy, Legal, Security, Engineering, and vendor-relationship owners to keep the work moving