Birdeye

Senior Product Manager

Birdeye is seeking a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI-centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth.

Responsibilities include developing and executing a comprehensive product strategy, defining and managing the product roadmap, collaborating with data scientists and engineers to integrate AI technologies, working closely with cross-functional teams, conducting user research and leveraging data analytics, designing and running A/B tests, staying informed about industry trends, defining KPIs and reporting on product performance, and reviewing and providing feedback on annotated data.

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 About the job
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 Job Type Full-time Description Why Birdeye? Birdeye is the highest-rated reputation, social media, and customer experience platform for local businesses and brands. Over 150,000 businesses use Birdeye’s AI-powered platform to effortlessly manage online reputation, connect with prospects through social media and digital channels, and gain customer experience insights to grow sales and thrive. At Birdeye, innovation isn't just a goal – it's our driving force. Our commitment to pushing boundaries and redefining industry standards has earned us accolades as one of the foremost providers of AI, Reputation Management, Social Media, and Customer Experience software by G2. Founded in 2012 and headquartered in Palo Alto, Birdeye is led by a team of industry experts and innovators from Google, Amazon, Salesforce, and Yahoo. Birdeye is backed by the who’s who of Silicon Valley - Salesforce founder Marc Benioff, Yahoo co-founder Jerry Yang, Trinity Ventures, World Innovation Lab, and Accel-KKR. Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence &amp; engagement, customer experience, and growth. We provide innovative solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to join our dynamic Product team. This role is critical in driving our product strategy, focusing on creating a platform that would connect companies with local customers through search, discovery, engagement and conversion. The ideal candidate will possess a strong blend of strategic thinking, analytical skills, user-centric product development with experience in a high-growth SaaS or B2B company having customers in the US. Experience in managing a Listings or a SEO product will be preferred What You'll do? Birdeye is a leading platform that empowers businesses with tools to manage and improve their online reputation, social presence &amp; engagement, customer experience, and growth. We provide innovative AI-driven solutions that enable businesses to connect with their customers, gather insights, and drive sustainable growth. We seek a Senior Product Manager to lead our AI Chatbot initiatives. This role is pivotal in leveraging advanced AI technologies, including Generative AI (GenAI) and custom Large Language Models (LLMs), to create a state-of-the-art chatbot experience. The ideal candidate will have a strong blend of strategic thinking, analytical skills, and a deep understanding of AI- centric product development. This role will focus on integrating the latest AI models and technologies to enhance user engagement, deliver exceptional customer experiences, and drive business growth. <ul><li>Product Strategy: Develop and execute a comprehensive product strategy that aligns with Birdeye’s growth objectives.</li><li>Roadmap Development: Define and manage the product roadmap, prioritizing features and initiatives based on business impact and data analysis.</li><li>AI Integration: Collaborate with data scientists and engineers to integrate cutting-edge AI technologies, including Generative AI models and custom LLMs, into the chatbot, enhancing its capabilities and performance.</li><li>Cross-Functional Collaboration: Work closely with engineering, design, marketing, and sales teams to ensure seamless product development and launch.</li><li>Data analysis: Conduct user research and leverage data analytics to gain insights into user behavior and preferences.</li><li>Experimentation: Design and run A/B tests and other experiments to validate hypotheses and optimize chatbot performance.</li><li>Market Analysis: Stay informed about industry trends, competitive landscape, and emerging technologies to inform product decisions.</li><li>Metrics and Reporting: Define key performance indicators (KPIs) and regularly report on product performance, making data-driven recommendations for improvement.</li><li>Data Review: Review and provide feedback on annotated data to ensure the quality and accuracy of AI model training datasets. </li></ul>
What do we need? <ul><li>Strategic Thinker: Ability to see the big picture and align product initiatives with business goals.</li><li>Analytical Mindset: Strong data analysis skills with the ability to interpret complex data sets and make informed decisions.</li><li>AI Expertise: Deep understanding of AI technologies, including Generative AI, custom LLMs, and natural language processing (NLP).</li><li>User-Centric: Deep empathy for users, with a passion for solving their problems and enhancing their experience.</li><li>Collaborative: Excellent communication and interpersonal skills, with a proven track record of working effectively in cross-functional teams.</li><li>Innovative: Creative problem solver who can think outside the box and drive innovation.</li><li>Results-Oriented: Strong focus on achieving measurable outcomes and driving continuous improvement.</li><li>Leadership: Ability to inspire and lead teams, fostering a culture of collaboration and high performance. </li></ul>
Requirements <ul><li>Bachelor’s degree in a relevant field; MBA or advanced degree preferred.</li><li>8+ years of product management experience, with a focus on AI and chatbot technologies.</li><li>Proven track record of successfully managing and launching AI-driven products in a fast- paced environment.</li><li>Experience with A/B testing, user research, and data analytics tools.</li><li>Experience with project management and roadmap management tools.</li><li>Strong understanding of AI, including Generative AI models, custom LLMs, machine learning algorithms, NLP, and product-led growth principles and strategies.</li><li>AI Skill Sets and Technologies: Proficiency in natural language processing (NLP), machine learning algorithms, Generative AI models (e.g., GPT-4, Gemini), chatbot frameworks (e.g., Dialogflow, Rasa), and cloud services (e.g., AWS, Google Cloud). Ability to review and provide feedback on annotated data. </li></ul>
Why You'll Join Us: At Birdeye, we are relentless innovators driven by a singular goal: to lead our category with unparalleled excellence. We don't just set goals – we surpass them. We're a team of doers who roll up our sleeves and get the job done, delivering on our promises with unwavering dedication. Working here means embracing a culture of action and accountability, where every person is empowered to make an impact. We don't just talk about making a difference – we make it happen
 
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This Senior Data Engineer role focuses on building and maintaining Identity and Device Data products at Disney Entertainment & ESPN.  Responsibilities include enhancing data models, improving codebase scalability and maintainability, participating in code reviews and on-call support. The role requires collaboration with various teams (Product, Design, QA, Operations) and mentoring junior engineers.  The ideal candidate will have extensive experience with big data technologies, distributed systems, data modeling, and cloud infrastructure.  They will be responsible for building and maintaining scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data.

From classic animated features and exhilarating theme park attractions to cutting edge sports coverage, and the hottest shows on television, The Walt Disney Company has been making magic since 1923, creating unforgettable stories that connect with audiences around the world. And we’re just getting started!The key to our success…. The Cast, Crew, Imagineers and Employees who honor Disney’s rich legacy by stretching the bounds of imagination to create the never-before-seen, bringing unparalleled entertainment experiences to people of all ages. Begin a career that delivers unparalleled creative content and experiences to audiences around the world and just imagine the stories you could be part of…What is #LifeAtDisney like? It’s a series of magical moments with cast members and employees developing and telling our stories in the most innovative ways. Whether it’s a day spent as a Disney VoluntEAR, or celebrating the release of a new interactive experience, retail product or movie, our days are filled with the knowledge that we are creating entertainment experiences the whole family can enjoy. Follow @DisneyCareers on Facebook, Twitter and Instagram for a peek behind-the-curtain, and discover how you could connect to a world of stories with Disney!

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<div class="ats-description">
 <h4>Job Summary:</h4> 
 <div class="additional-field-value-razor"><h2>Disney Entertainment &amp; ESPN Product &amp; Technology</h2>On any given day at Disney Entertainment &amp; ESPN Product &amp; Technology (DEEP&amp;T), we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.The Product &amp; Data Engineering team is responsible for end to end development for Disney’s world-class consumer-facing products, including streaming platforms Disney+, Hulu, and ESPN+, and digital products &amp; experiences across ESPN, Marvel, Disney Studios, NatGeo, and ABC News. The team drives innovation at scale for millions of consumers around the world across Apple, Android, Smart TVs, game consoles, and the web, with our platforms powering core experiences like personalization, search, messaging and data.A few reasons why we think you’d love working for Disney Entertainment &amp; ESPN Technology<ul><li>Building the future of Disney’s media business: DE&amp;E Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.</li><li>Reach &amp; Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.</li><li>Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment &amp; news.</li></ul>This role involves building and maintaining our Identity and Device Data products.&nbsp; These products serve as a comprehensive source of truth for customer identifiers and their devices. The role requires senior-level knowledge of building scalable, fault-tolerant data processing pipelines and backend to ensure the reliable delivery of both real-time and batch data.<h2>Responsibilities</h2><ul><li>Build and maintain product-driven initiatives to improve and expand Identity and Device data product offerings</li><li>Enhance/redesign existing data models with input from Architecture in order to modernize products and/or improve performance and efficiency. Enhance/improve the underlying codebase to be extensible, reusable, and maintainable. Participate in code reviews and as well as on-call support roster.</li><li>Promote and support Agile methodologies such as Scrum, and Kanban by actively participating in regular ceremonies such as stand-up, retrospectives and sprint planning.</li><li>Collaborate with your squad, Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical decisions and outcomes.</li><li>Serve as a senior resource to other Data Engineers on the team, and mentor junior members of the team helping to improve their skills, knowledge, and productivity.</li></ul><h2>Basic Qualifications</h2><ul><li>5+ years of related big data engineering experience modeling and developing large data pipelines</li><li>Hands-on experience with distributed systems such as Hadoop or Databricks compute using tools/libraries such as Spark, Presto, Hive to query and process large datasets at the petabyte level.</li><li>Strong Python, Scala and SQL skills processing big datasets</li><li>Experience with at least one major MPP or cloud database technology (Snowflake, Redshift, Big Query, Databricks)</li><li>Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li><li>Operational experience in multi-system/services production environment as senior data engineer and point-of-contact / SME</li><li>Problem solving skills with strong attention to detail and excellent analytical and communication skills</li><li>Solid experience with data integration and orchestration toolsets (e.g. Airflow), CI/CD</li><li>Solid experience with AWS S3</li></ul><h2>Preferred Qualifications </h2><ul><li>Demonstrated ability with cloud infrastructure technologies, including Terraform</li><li>Experience with:&nbsp;Snowflake, Databricks, Airflow, AWS &nbsp;</li></ul><h2>Required Education</h2><ul><li>Bachelor's degree in Computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.&nbsp;</li></ul><h2>Additional Information</h2>#DISNEYTECH The hiring range for this position in Santa Monica, CA is $138,900 to $186,200 per year, in Seattle, WA is $145,400 to $195,000 per year, and in New York, NY is $145,400 to $195,000 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div>
 
 
 
 
 
 
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