Facebook is a social networking website that was founded in February 2004 by Harvard University students Chris Hughes, Andrew McCollum, Dustin Moskovitz, Eduardo Saverin and Mark Zuckerberg. The idea behind Facebook was to provide an online book of faces for university students to connect and share information.
Product Manager, Leader
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Lead a team through the ideation, technical development, and launch of innovative products
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Drive product development with a team of world-class engineers and designers
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Attract, build, manage, and develop a talented, diverse, equitable and inclusive team of product managers and product leaders
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Establish shared vision across the company by building consensus on priorities leading to product execution
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Integrate usability studies, research and market analysis into product requirements to enhance user satisfaction
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Define and analyze metrics that inform the success of products
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Understand Facebook’s strategic and competitive position and deliver products that are recognized best in the industry
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Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
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8+ years of experience in Product Management and/or Product Design
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8+ years of experience working collaboratively with engineering, design and user research teams
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Critical thinking/analytical leadership experience
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Experience presenting to senior executive audiences
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6+ years of experience hiring, managing, and developing both individual contributors and senior leaders
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BA/BS in Computer Science or related field
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Experience in a consumer focused technology company
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Experience building 0-1 products, platform/ecosystem products, or marketplaces
UX Researcher, Qualitative
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Work closely with product and business teams to identify research topics
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Act as a thought leader in the domain of research, while advocating for the people who could use our products
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Design and execute end-to-end custom primary research using a wide variety of methods
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Design studies that address both user behavior and attitudes
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Effectively manage and prioritize research plans through ambiguous and fast-changing environments, align and efficiently execute critical insights and work with a large group of stakeholders
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Communicate results and illustrate suggestions in compelling and creative ways
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Work cross-functionally with design, product management, content strategy, engineering and marketing
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Generate insights that both fuel ideation and evaluate designs
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Bachelor’s degree with 4+ years of relevant experience within user experience, applied research setting and/or product research and development, Master’s degree and 2+ years relevant experience, or a PhD and relevant experience
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Experience conducting In-Depth Interviews or Focus Groups and Concept Testing or Usability Testing
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Interest in and experience executing hands-on, primary research
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Experience translating research findings into strategic narratives
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Experience with consumer products, consumer insights, or product development
Client Solutions Manager, Automotive
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Act as a product & insights expert, in partnership with Client Partner, to identify and implement marketing solutions that drive measurable business results for our partners
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Build and manage relationships with key clients and agency partners (media, creative, marketing partners, etc.)
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Craft narratives and recommendations from custom analyses, build presentations, and present findings to business stakeholders
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Design experimentation initiatives, develop experiment tracking, analyze results and present recommendations
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Serve as external product consultant educating clients and agencies on product solutions and best practices, and ultimately grow existing business partnership
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Drive proactive media & measurement strategy, implementation, and optimizations to increase performance and investments
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Oversee account operations (e.g. troubleshooting issues, account set up, etc.)
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Work and collaborate with diverse group of internal cross-functional teams to project manage complex workstreams
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Ability to travel as needed
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5+ years of experience in performance marketing, digital marketing, or client-facing strategy or analytical consulting role
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Advanced experience with spreadsheets and skill to structure and manipulate raw data into datasets for analysis
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Expertise analyzing data from a variety of different sources (quantitative and qualitative), and presenting the data in a clear and concise manner, and developing actionable insights.
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Proven track record in leveraging data, developing insight-backed hypotheses and driving learning plans to build compelling business cases
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Experience confidently delivering insights to both technical and non-technical audiences
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Experience working with diverse set of cross-functional teams
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Experience influencing senior level executives and clients
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Knowledge and experience with data querying (e.g., SQL)
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Experience with business case modeling and market/opportunity sizing
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Experience with Meta’s full suite of advertising solutions
Linguistic Engineer
As a Linguistic Engineer (LE), you will focus on helping deliver datasets, models, and knowledge that power the ML systems across all components in the voice assistant product, such as ASR/TTS, NLU, NLG, Dialog, LLMs, and a Knowledge Graph. The Linguistic Engineer delivers datasets, consistent models and representations across languages and areas, as well as data infrastructure that powers the voice assistant product.
The ideal candidate has strong technical, analytical, and collaboration skills with experience in building datasets for ML applications. Experience as an ML practitioner is useful but not required as the role focuses on the datasets and provides an opportunity to interface and work directly with ML teams as part of the greater voice assistant organization.
Experience with data tools, pipelines, and analytics is needed for this role. The ideal candidate will by multi-lingual, and have an interest in NLP and/or conversational AI systems and being at the cutting edge of their development. A plus is experience in any subfield of computational linguistics, though that is not specifically a requirement for the role.
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Build datasets, pipelines, and models for ML applications.
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Directly support product development with rules, prompts, and data patches.
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Evaluate the quality of models and product experiences and close the feedback loop.
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Clearly communicate with project stakeholders.
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Identify best practices and improve procedures across data systems.
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Drive and deliver projects from conceptualization through launch and beyond with continual improvement and support.
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Design and conduct product experiments.
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Work in a dynamic, ambiguous work environment.
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Be self-driven and prioritize multiple work streams.
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Collaborate seamlessly with cross-functional teams.
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2+ years of work experience as data scientist, software engineer, computational linguist or in similar role.
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Experience with programming and data analysis with languages and platforms such as Python, SQL, PHP/Hack.
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Experience with text analysis, scripting, relational database, No SQL databases or similar.
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Experience shipping multiple products across various platforms.
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5+ years of work experience as data scientist/software engineer/computational linguist, with experience in machine learning and knowledge graph integrations with lexicons or ontologies.
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Deep understanding of the relationship between data and machine learning models.
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Experience with larger scripting projects that involve combining language data from different sources, computing complex metrics over large datasets, etc.
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Experience designing and conducting data experiments.
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Experience with version control, unit tests, and other programming best practices.
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Fluency in additional languages.