Education Requirements:

• Bachelor's Degree in a business, marketing, technical or related field

Experience Requirements:

• 12+ years of experience in consumer product marketing, product management, management consulting, business strategy or a similar field

• 5+ years of people management experience

• Experience developing global strategy and delivering impactful and measurable communication and campaigns internationally that have been proven successful through data

• Experience in using data to inform strategy and communication and to develop meaningful Go-To-Market approaches that drive business outcomes

• Experience partnering with product management, product design, data science and other cross-functional teams (Analytics, Research, Creative, etc.) to drive business results

Responsibilities:

• Lead and manage a team of product marketers for Instagram

• Influence Instagram’s product strategy and roadmap through the use of data and insights in close collaboration with Research and Data Science, ensuring we’re deepening audience understanding and delivering user value

• Define and manage comprehensive marketing strategy and planning including segmentation, targeting, market sizing, media and communications plan, roll-out strategy, and integration with Public Relations, Editorial, growth, partnerships and performance marketing

• Develop, manage and support the execution of integrated marketing communications efforts that encompass a 360 approach across various channels (digital, social, traditional media, etc.) to support key narratives and impact stories

• Lead and collaborate with a multitude of cross-functional stakeholders to deliver marketing campaigns, product launches and Go-To-Market strategies

Experience Requirements:

• 6+ years of experience in Product Design

• 2+ years of design leadership experience

• 6+ years of experience working collaboratively with product, engineering, design, content and user research teams

• Experience building and shipping applications or software across a variety of platforms

• Experience leading product direction and strategic thinking with the experience developing product goals, identify opportunities, and make decisions based on the impact to people and the company

Responsibilities:

• Manage and grow small design team, ensuring the team delivers against goals

• Drive innovation by inventing new, ad formats and evolving the Feed surface to make ads feel more native and delightful

• Tackle ambiguity head-on — from concept to execution — bringing clarity and creativity to uncharted problem spaces

• Scale your impact by taking on execution oversight

Education Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

• Advanced Degree in Computer Science, Math, Physics, or other technical fields

Experience Requirements:

• Project management experience

• Data architecture experience

• Experience in SQL or similar languages

• 9+ years of experience in BI and Data Warehousing

• 2+ years of experience managing managers

Other Requirements:

• Possess in depth data infrastructure and architecture skills, a proven track record of leading and scaling data engineering teams, operational expertise, project management leadership, and a vision for how data engineering can proactively improve companies

• Define processes to achieve operational efficiency, including project management and system reliability

Responsibilities:

• Mission and Strategy: Proactively drive the vision for BI and Data Warehousing across a product vertical and execute plans to achieve it

• Team Building: Build and scale a high-quality BI and Data Warehousing team

• Cross-Functional Collaboration: Establish relationships with Data Scientists, Product Managers, and Software Engineers to understand and meet data needs

• Data Warehouse Management: Lead data warehouse plans and ensure alignment with product vertical goals

• Data Model and Pipeline Development: Lead the design, building, and launching of new data models and pipelines in production

Education Requirements:

• Bachelor of Arts/Bachelor of Science in Computer Science, Math, Physics, or other technical fields

• Advanced Degree in Computer Science, Math, Physics, or other technical fields

Experience Requirements:

• A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams

• 8+ years of experience in BI and Data Warehousing

• Experience initiating and completing BI, data warehousing and/or analytical projects with minimal guidance

• Experience communicating results of analysis to executive leadership

• Project management experience

Responsibilities:

• Drive the mission and strategy for Business Intelligence (BI) and Data Warehousing across a product vertical

• Build and lead a high-quality BI and Data Warehousing team, designing it to scale

• Develop cross-functional relationships with stakeholders to understand data needs and deliver on those needs

• Manage data warehouse plans, drive data quality, and ensure operational efficiency

• Design, build, and launch new data models and pipelines in production

Education Requirements:

• An Engineering degree/diploma in CS/EE or a related field

Experience Requirements:

• Proven Experience in hardware & software installation and configuration in the recent past

Other Requirements:

• Able to work independently and get solutions in different environments

• Able to identify missing integrations, environmental issues and raise it with stakeholders

• Able to identify issues proactively and not wait for customers to report the issues

• Passionate about automation and ability to automate as many workflows as possible

• Familiarity with Linux, Networking and Administration, Configuration (3+ years)

• Familiarity with hardware as well as software deployments (3+ years)

• Prior experience on physical security systems (2+ years)

• Experience with Kubernetes (2+ years)

Responsibilities:

• Install and Configure the Client Computer Systems, NVR/VMS systems and Camera/Speaker modules based on the listed recommendations

• Familiarity with Linux Networking commands, Shell Script, VMS/NVR systems and Ansible+Jenkins

• Document and Keep track of all the tenants, installed modules (hardware, software) and 3rd party Systems

• Deploy new tenants as well as any incremental hardware/software upgrades for the customers

• Diagnose Software, Hardware or Networking Issues and mitigate ASAP

Benefits:

• Competitive salary and equity options

• Health, dental, and vision insurance

• Flexible work arrangements

• Opportunities for learning, growth, and professional development

Experience Requirements:

• 3-5 years of experience in customer success, account management, or a similar role, preferably in SaaS or AI-driven technology

Other Requirements:

• Familiarity with AI, security systems, or surveillance technology is a plus. Ability to work with NVR systems, cameras, and related technical setups is beneficial.

• Experience with Asana, Google Sheets, Slack, and other project tracking tools

• Background in physical security or SaaS solutions is highly desirable

• Start Up Experience is a huge plus

Responsibilities:

• Customer Onboarding

• Account Management

• Customer Advocacy

• Performance Monitoring

• Retention & Growth

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production system code

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track record of exceptional research or creative ML systems projects

• Comfortable writing model development code (PyTorch) for either training or inference

Responsibilities:

• Work on cutting-edge ML training and inference systems

• Optimize the performance and efficiency of our GPU clusters

• Develop new technologies that fine-tune leading consumer AI models

• Serve 20K+ QPS in production with LLMs

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 4+ years of experience supporting the infrastructure within an ML environment

Other Requirements:

• Experience in developing tools used to diagnose ML infrastructure problems and failures

• Experience with cloud platforms (e.g., Compute Engine, Kubernetes, Cloud Storage)

• Experience working with GPUs

Responsibilities:

• Provide infrastructure support to our ML research and product

• Build tooling to diagnose cluster issues and hardware failures

• Monitor deployments, manage experiments, and generally support our research

• Maximize GPU allocation and utilization for both serving and training

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• at least PhD (or equivalent) research experience

Other Requirements:

• Write clear and clean production-facing and training code

• Experience working with GPUs (training, serving, debugging)

• Experience with data pipelines and data infrastructure

• Strong understanding of modern machine learning techniques (reinforcement learning, transformers, etc)

• Track-record of exceptional research or creative applied ML projects

Responsibilities:

• Develop alignment algorithms and loss functions

• Write data pipelines to process diverse web data

• Identify quality signals to understand our model’s performance

• Design sampling algorithms to improve serving efficiency

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• preferably 2+ years of industry experience

Other Requirements:

• Deep understanding of the “whole stack” when it comes to designing, training, evaluating and deploying machine learning models

• Have a track record of successfully owning projects from start to finish

• Have experience with generative models for various modalities

• Experience working with proven tools

• Experience working with diffusion models

Responsibilities:

• Determining the type of training data we need

• Developing new model architectures

• Creating new evaluations

• Writing fast inference algorithms

• Working with product teams to integrate feedback mechanisms into the product

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• B.A.S. in Computer Science or equivalent experience

Experience Requirements:

• 5+ years of industry experience

Other Requirements:

• Experience building/consuming RESTful and gRPC based web-services

• Experience building and managing infrastructure in a cloud environment (GCP, AWS or Azure)

• Familiar with one of the popular ML Frameworks like Pytorch, Tensorflow

• Experience writing highly performant service in a modern typed language

• Experience configuring and maintaining CI/CD pipelines and automated testing

Responsibilities:

• Work cross functionally with product, data science, data platform and ML researchers

• Identify, design and implement the applied ML infra

• Lead implementation of our ML backend systems

• Support scaling our existing systems

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 5+ years of experience as a full-stack software engineer building consumer-facing products with a strong focus on building scalable backend services

Other Requirements:

• Experience with Python, Golang, Typescript, and React all nice to haves

Responsibilities:

• Building innovative consumer-oriented AI experiences

• Ideate and build emerging “Big Bet” experiences

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• Bachelor’s degree with 10+ years’ of relevant experience in user experience, applied research and/or product research and development or an advanced degree with 8+ years of relevant experience

Experience Requirements:

• 7+ years of experience leading user research, preferably in a senior or lead role for a large consumer product area with many stakeholders

Other Requirements:

• Comfort with ambiguity and solving problems without an established process to follow

• Experience conducting UX research for a social media or consumer app

• Experience with usertesting.com & unmoderated testing

• Experience coding with SQL, STATA, SPSS, R, or equivalent

• Experience applying statistical analysis methods such as regressions, ANOVA, and T-Tests, and the ability to summarize and explain those results for non-technical audiences

• Proficient in relevant design and research tools

Responsibilities:

• Partner with product and business stakeholders to identify and prioritize research topics

• Proactively identify research needs and gaps, and implement solutions

• Design and execute end-to-end custom primary research

• Analyze research data and translate findings into actionable recommendations

• Communicate research findings in a clear and compelling manner to a variety of audiences

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 8+ years of deep consumer product management experience working on open ended product spaces, ideally within the Integrity/Trust and Safety space

• Product Management Leadership skills (ideally have managed a team of PM’s)

• Strong track record building and launching successful, high growth Consumer facing B2C products from 0 -> 1 at scale

Other Requirements:

• Ability to deliver on product execution focusing on both the short term and long term

• Strong understanding of AI industry, in terms of competitors and incumbent strategies

Responsibilities:

• Execute on the product vision/ideation, collaborate on strategy, and implementation

• Collaborate with users, engineering, design, community, and marketing

• Partner with data science to test and measure quality of the product experience, set clear goals, tune safety classifiers, and hold the team accountable

• Drive cross-functional product deployment, release coordination, and product improvement for safe experiences within the product and for 3rd party partners

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 10+ years of deep consumer product management experience working on open ended product spaces

• 3+ years working on user growth or subscription growth

Other Requirements:

• Ability to deliver on product execution focusing on both the short term and long term

• Strong understanding of AI industry, in terms of competitors and incumbent strategies

• Technical degree and/or prior software engineering experience

Responsibilities:

• Execute on product vision/ideation

• Collaborate on strategy and implementation

• Collaborate with users, engineering, design, community, and marketing

• Partner with data science to test and measure product quality

• Drive cross-functional product deployment, release coordination, and product improvement

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Experience Requirements:

• 5+ years of experience at leading chat, social media, or UGC product companies

Other Requirements:

• Strong intuition for choosing the right questions to ask and quickly driving to key insights

• Excel at turning findings into actionable next steps and working with engineering to execute

• Enjoy leaning into high velocity experimentation

• Capable of standing up Character.AI's data science efforts, including the tools and systems that you will need to work effectively as we scale

Benefits:

• Top-notch health coverage

• 401(K) contribution

• Paid leave (up to 20 weeks)

• 4 weeks PTO

• Daily in-office catering & monthly Doordash stipend

Education Requirements:

• Bachelor's degree in Finance, Accounting, or related Business field; MBA a plus

Experience Requirements:

• 10+ years of relevant FP&A experience, with at least 5 years directly managing people and teams, and ideally at a consumer software company

Other Requirements:

• Adept at operating at all levels with the ability to be hands-on while also keeping an eye on the strategic big picture

Responsibilities:

• Day to day financial planning

• Managing budgeting/spend

• Forecasting

• Reporting

• Driving Character.AI’s fundraising and compute strategy

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain backend infrastructure

• Build and improve AI models

• Work with frontend engineers to integrate AI features

Benefits:

• Competitive salary

• Equity

• Remote work option

Experience Requirements:

• 3+ years of experience

Responsibilities:

• Develop and maintain frontend infrastructure

• Work with backend engineers to integrate AI features

• Improve user experience