Sago

Lead end-to-end product lifecycle and collaborate cross-functionally to translate business needs into technical specifications. | 3+ years product management experience, bachelor's degree, proficiency in Agile tools and AI workflows. | POSITION SUMMARY: As a Product Manager, you will be responsible for helping develop and grow our product offerings. You will work cross-functionally to support innovation and contribute to the end-to-end product life cycle. Your foundational understanding of product development, combined with your curiosity and collaborative mindset, will be key in supporting the growth and success of our platforms. A background in market research, particularly with qualitative or quantitative panel management software, is a plus. KEY JOB RESPONSIBILITIES: Exhibit strong communication skills, fostering a collaborative and team-oriented environment Gather requirements from stakeholders to ensure the product meets business needs and translate to developer requirements Work closely with the engineering team to ensure that the product is built to specification and meets the customer’s needs Be the expert in your product space for customers, business leaders, development teams, and other stakeholders to drive product success Develop, drive, and maintain product roadmaps and backlogs based on business needs and stakeholder feedback Observe and track trends in the marketplace and identify potential outcomes or opportunities that can be supported by an existing product Collaborate with product designers to ideate and build prototypes for new features, enhancing user experience Lead Agile meetings such as sprint planning, sprint review, etc. Implement product enhancements using agile principles, ensuring flexibility and responsiveness to change CORE COMPETENCIES: Experience contributing to enterprise level digital projects for a diverse groups of stakeholders Proficiency using AI tools (e.g., ChatGPT, Claude, Copilot) to accelerate product workflows Fundamental understanding of product management, software development processes, and user experience (UX) design Expertise in effectively communicating to a diverse range of stakeholders using multiple methods, including digital platforms, written communication, and verbal presentations Ability to work and coordinate with 3rd party clients and vendors Ability to evaluate AI-powered features and integrations critically, with an understanding of where AI adds genuine value for users versus where it introduces risk or friction Ability to interpret complex and technical information, adopting the most suitable communication method to simplify and ensure understanding based on the audience's needs Proficient in sifting through complex data to recommend approaches that will enhance processes and tasks, driving continuous improvement Fundamental understanding of technical aspects (i.e. how API’s work, databases, etc) QUALIFICATIONS Education: Bachelor's degree in business, engineering, computer science, or related field Advanced degree a plus but not required. Experience: At least 3 Years in Product Management Computer and Technical Skills: Knowledge of Agile and Lean product management methodologies and tools, such as Scrum, Kanban, or Lean Canvas, for iterative product development and continuous improvement Familiarity with tools and software used in product management, such as Jira, Asana, Github, or similar project management platforms Familiarity with qualitative or quantitative market research platforms and panel management software — experience with qualitative or quantitative research tools (e.g., online discussion boards, survey platforms, panel portals) is a strong plus Applicants from both the US and Canada will be considered. Medical, Dental, Vision, 401K

Manage end-to-end quantitative research process and deliver strategic insights to internal teams and clients. | At least 4 years supplier-side quantitative market research experience and bachelor's degree with proficiency in Microsoft Office and PowerPoint. | Sago is a full-service market research company providing comprehensive research solutions to a diverse range of clients. We specialize in delivering actionable insights through innovative methodologies and a commitment to excellence. Our quantitative research division is a cornerstone of our business, helping clients make data-driven decisions in today's dynamic marketplace. As a Quantitative Research Manager, you will be instrumental in guiding our clients through complex business questions by delivering insightful and actionable quantitative research. You will own the research process from start to finish, collaborating with internal teams and providing strategic recommendations that drive measurable results Key Job Responsibilities: End-to-End Project Management: Take ownership of quantitative research projects, from crafting precise questionnaires and conducting in-depth analysis to interpreting findings and developing comprehensive reports. Client & Internal Partnership: Act as the central point of contact for internal operations, ensuring seamless project execution that consistently meets client deadlines and expectations. Integrated Research Design: Leverage qualitative insights to inform the design of quantitative surveys, seamlessly blending different research phases into a single, compelling analytical narrative. Strategic Insight Generation: Deeply understand client business needs and translate them into clear, measurable research objectives. Actionable Recommendations: Transform research findings into practical, data-backed recommendations that empower clients to achieve their strategic business goals. Core Competencies: We are seeking a dynamic and experienced quantitative researcher who is: A Research Expert: Possessing strong foundational knowledge and practical experience in designing, analyzing, and presenting quantitative research. Highly Proficient in PowerPoint Data Visualization: Demonstrable expertise in designing and executing impactful data visualizations in PowerPoint, transforming complex research findings into clear, actionable reports. Adaptive & Agile: Capable of thriving in a fast-paced environment and adjusting to evolving market trends and client demands. Proactive Innovator: Eager to identify and implement new and improved research methodologies and approaches. Curious & Open: Enthusiastic about exploring new ideas and continuously expanding your skill set. Collaborative Communicator: Able to work effectively and communicate clearly with diverse team members. Quality Champion: Committed to meticulous attention to detail and delivering work of the highest quality. Solutions-Driven: Focused on identifying and implementing effective solutions to challenges, rather than dwelling on problems. Strategic Thinker: Able to think critically, creatively, and confidently to address complex client needs. Organized & Results-Oriented: Highly organized with a strong drive to achieve defined outcomes. Education: · Bachelor’s degree from a four-year college or university, advanced degree in quantitative methods, statistics, mathematics, psychology, or related field desirable Experience: · A minimum of 4 years of experience working on the supplier side within quantitative market research. Computer Skills: · Proficient in Microsoft Office Suite (Word, Excel, PowerPoint). · Familiarity with Google Slides is a plus. · Familiarity with SPSS is a plus. Medical, Dental, Vision, 401K

The Analytics Engineer will partner with internal stakeholders to gather requirements and translate them into stable analytics solutions. They will maintain and build SQL-based datasets and dashboards, automate data processes, and document analytics procedures. | Candidates should have a strong foundation in Excel, SQL, and Python, with intermediate proficiency in SQL and beginner to intermediate proficiency in Python. A degree is not required, but certifications or equivalent experience in data, analytics, or engineering are welcomed. | We are looking for an Analytics Engineer to join our internal Data & Analytics team at Sago – a leader in executing marketing research projects. In this role, you will collaborate closely with stakeholders across the organization to translate business needs into data solutions. You’ll help build and support reporting workflows, improve data processes, and make our internal analytics tools more efficient and reliable. This is an ideal role for someone who is a few years into their data career and eager to grow in a hands-on environment. If you have a strong foundation in Excel, SQL, and Python, and a passion for making data more accessible and impactful, we’d love to meet you. Key Responsibilities · Partner with internal stakeholders to gather requirements and translate them into repeatable, stable analytics solutions · Maintain, update, and build SQL-based datasets and dashboards in collaboration with other data team members · Assist in automating data cleaning, transformation, and Excel-based workflows using Python and other tools · Support and troubleshoot stakeholder issues related to existing datasets in our data lake and data platforms · Document data definitions, reporting logic, and analytics processes clearly and consistently · Identify opportunities to streamline or improve existing, manual analytics tasks · After an initial onboarding period, independently own analytics projects from request to delivery · Fluent/native English communication skills (written & verbal); must be comfortable speaking with non-technical stakeholders · Strong power query and excel skills (pivot tables, complex formulas, data validation, automation, etc..) · Intermediate proficiency in SQL · Beginner to intermediate proficiency in Python · Comfortable working with structured and semi-structured data from a variety of sources · Familiarity with notebook-based environments such as Jupyter, Hex, or SageMaker · Experience with business intelligence tools like Superset, Power BI, Tableau, etc… · Basic understanding of Data Governance and Data Modeling concepts and best practices · Comfortable learning new tools and platforms used for data modeling, reporting and orchestration · Passion for improving and automating business and analytics processes · A degree is not required – we welcome candidates with certifications or bootcamp training in data, analytics, or engineering (or equivalent on-the-job experience) Nice-to-Haves · Exposure to orchestration tools like Airflow · Knowledge of Data Lake/Lakehouse architectures · Familiarity with columnar data storage like Parquet, Delta Lake, Iceberg, etc… · Understanding of Git and version control best practices Why Join Us? · Opportunity to grow into a more senior data engineering or analytics role with mentorship and additional training · Supportive team culture that values curiosity and continuous learning · A chance to flex your creativity with POC (proof-of-concept) projects that often require inventive problem solving to resolve product and engineering gaps and meet immediate business needs · Chance to work across a wide range of business domains and contribute to meaningful impact