ai/ml modeling engineer ii (intern)- united states

data scientist

data engineer

ai/ml modeling engineer ii (intern)- united states Jobs in San Francisco

ai content team leader (content design) Jobs in San Francisco

ai content team leader (content design)

ai engineer (assistant) Jobs in San Francisco

ai engineer (assistant)

ai trainer data annotator remote

YO IT Consulting

<div>
 Role Overview
 
 
 Collaborating with a leading AI lab to contract detail-oriented generalists for a data annotation project. Contractors will support the development of AI systems by categorizing and labeling diverse datasets using predefined taxonomies. The project offers an opportunity to directly contribute to the accuracy, reliability, and performance of next-generation AI models.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Synthesize information from large volumes of data
 </li>
 <li>
 Annotate and categorize text, images, and other data according to detailed guidelines
 </li>
 <li>
 Apply predefined rubrics and taxonomies to produce structured, high-quality outputs
 </li>
 <li>
 Flag inconsistencies, ambiguities, or errors in datasets
 </li>
 <li>
 Contribute to the improvement of AI systems through consistent annotation work
 
 
 </li>
 </ul>
 
 Ideal Qualifications
 
 
 
 <ul>
 <li>
 Ability to synthesize complex or high-volume information into structured formats
 </li>
 <li>
 Strong critical reasoning, reading comprehension, and written communication skills
 </li>
 <li>
 Prior experience applying rubrics, taxonomies, or standardized guidelines (preferred but not required)
 
 
 </li>
 </ul>
 More About the Opportunity
 
 
 <ul>
 <li>
 Expected commitment: ~20 hours/week
 
 
 </li>
 </ul>
 Application Process
 
 
 <ul>
 <li>
 Submit your resume to begin
 </li>
 <li>
 Complete a Training Assessment
 </li>
 <li>
 Typical response time: 1-2 business days
 
 
 </li>
 </ul>
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Your work will not involve access to confidential or proprietary information from any employer, client, or institution.
 </li>
 <li>
 Payments are weekly on Stripe or Wise, based on services rendered.
 </li>
 </ul>
</div>

Ai Trainer/Data Annotator - Remote

Avida

<div><h2 class="jobSectionHeader">About Avida (formerly System2)</h2>
At Avida (avida.life), our vision is to bring the experience of having a personal fitness trainer to everyone. We accomplish this by combining elite human coaches with cutting-edge AI technology to help coaches build thriving businesses and reach more clients than ever before.
We are a San Francisco-based, fully remote Series-A stage company backed by prominent Silicon Valley venture capital firms including Khosla Ventures. Avida founders Dilan Dane &amp; Yuran Lu are ex-MIT serial entrepreneurs who've previously built and sold companies to Google, Dropbox, and more.
We've grown to $5M+ ARR, support hundreds of coaches on the platform, and have validated paid ads as a major growth lever &mdash; achieving a 4.4x ROAS with CAC competitive to organic channels. Now we need someone to take this to the next level.<h2 class="jobSectionHeader">
Your Role</h2>
As the Performance Marketing Manager, you will own and scale Avida's paid advertising program end-to-end. This is not a typical performance marketing role &mdash; you'll be running paid campaigns on behalf of fitness coaches on our platform, managing dozens of individual ad accounts while optimizing a shared playbook across all of them. You'll work cross-functionally with our Coach Account Management (CAM) team to onboard coaches into paid ads, collaborate on content strategy, and communicate the value of paid vs. organic growth.
Reporting to the VP of Sales/Growth, you will have direct impact on coach revenue, platform growth, and company-level metrics.<h2 class="jobSectionHeader">
Responsibilities</h2><ul><li>
Manage and scale paid ad campaigns across Meta (Instagram/Facebook) for a growing portfolio of fitness coaches, each with their own ad account, audiences, and content style</li><li>
Onboard new coaches into paid ads &mdash; assess readiness (content cadence, lead volume, budget commitment), build initial campaigns, and guide coaches through the first 90 days</li><li>
Optimize campaign performance daily and weekly &mdash; monitor CPC, CPL, ROAS, and conversion rates; test new creatives, audiences, and placements; kill underperformers quickly</li><li>
Develop and refine the paid ads playbook &mdash; document best practices for ad creative, audience targeting, budget allocation, and scaling strategies specific to the fitness coaching vertical</li><li>
Collaborate with coaches and CAMs on content strategy &mdash; advise on what types of coaching content performs best in ads (transformations, social proof, motivational, workout inspiration), help coaches repurpose organic content for paid, and maintain an inspiration bank of top-performing creatives</li><li>
Report on performance and communicate value &mdash; build and maintain performance dashboards, deliver regular updates to coaches and internal leadership on ROAS, CAC, and contribution to overall wins</li><li>
Manage the Ads Kickstarter Program &mdash; oversee the subsidized onboarding program that lowers coaches' upfront ad spend to accelerate adoption, manage the transition from fully-covered to self-funded campaigns, and track program ROI</li><li>
Own tracking and attribution infrastructure &mdash; partner with engineering to maintain Meta Pixel and Conversions API (CAPI) integrations across coach landing pages built on Webflow, ensuring lead events and conversion data flow accurately from form submission through client acquisition</li><li>
Forecasting &amp; financial planning ownership &mdash; build bottom-up and top-down models projecting leads, wins, CAC, and ROAS; align coach-level spend strategies with seasonal growth initiatives and company revenue targets</li><li>
Scale the program &mdash; grow from the current cohort of live coaches to significantly more, while maintaining or improving performance benchmarks</li><li>
Explore new channels &mdash; evaluate and test expansion beyond Meta (Google, TikTok, YouTube) as the program matures along with email and text marketing</li><li>
Leverage AI and automation &mdash; identify opportunities to use AI tools and automation to improve efficiency in campaign management, reporting, and creative testing at scale</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
3+ years of hands-on Meta Ads (Facebook/Instagram) management experience with proven results &mdash; you live in Ads Manager</li><li>
Demonstrated track record of managing $30k+ monthly ad spend profitably, ideally across multiple accounts or clients simultaneously</li><li>
Deep understanding of direct-response advertising &mdash; you think in terms of CPC, CPL, ROAS, and conversion funnels, not just impressions</li><li>
Experience in the fitness, wellness, health, or creator/influencer space is strongly preferred</li><li>
Strong analytical skills &mdash; you're comfortable pulling data, building dashboards, and making decisions based on attribution data as it matures</li><li>
Excellent communication skills &mdash; you can explain paid media performance and strategy to coaches who are not marketers, and to leadership in business terms</li><li>
Experience working with content creators or managing ad creative pipelines (sourcing, testing, iterating)</li><li>
Self-starter with the ability to set your own objectives, plan, execute, and achieve excellent results in a fast-paced environment</li><li>
Familiarity with fitness coaching business models (lead generation consultation client acquisition) is a major plus</li></ul><h2 class="jobSectionHeader">
Ideally, You...</h2><ul><li>
Have managed paid campaigns for personal brands or individual creators (not just large D2C brands) &mdash; you understand the nuance of running ads that feel authentic to a person's voice</li><li>
Are excited about our vision of making fitness universally accessible and carry a personal interest in health &amp; fitness</li><li>
Are eager to build and own a function, not just execute a playbook &mdash; you want to shape the strategy</li><li>
Thrive in a startup environment where you'll wear multiple hats and move fast</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Benefits</h2>
We provide very competitive salaries and benefits. Your compensation will consist of a base salary with performance-based bonuses tied to the growth of the paid ads program. In addition, we provide equity to full-time employees so that you can share in the financial upside of our long-term success.
Our benefits include:<ul><li>
Unlimited PTO</li><li>
Fully remote work environment</li><li>
Reimbursement for remote-working equipment and expenses</li><li>
Unique perks like unlimited free books &amp; other investments in personal growth</li><li>
All expenses paid trips to company retreats</li></ul>
You'll have the opportunity to work on exciting and innovative technologies and make a meaningful difference in many lives every day. We hope you are excited to join us!</div>

Performance Marketing Manager

Audet & Partners

Job Overview We are seeking a dynamic and innovative AI Programmer to work on a unique and historical program. Likely will result in long term employment. Essentially, will hire two people total, one with signficant experience and another junior assistant with AI background. Task will be determine best way to apply AI to reduce &quot;man hours&quot; extracting data and apply AI tools to streamline a complicated process involved the US Customs department. Must be able to apply current AI to custom needs, including IDP extration and use of RPA bots.Additional details require NDA.Pay: $45.00 - $70.00 per hourWork Location: Hybrid remote in San Francisco, CA 94102

AI programer

Mento

<div><h3 class="jobSectionHeader">About Mento</h3>

Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. We're on a mission to provide people access to the best support, advice, and mentorship at work and empower them to take action on it. In a world where jobs and careers are rapidly changing, we believe that transformational growth and continuous improvement is mandatory for people and companies to thrive. We are on a mission to bring our unique model of coaching to every member of the global workforce.

We strive to create a fun, conscientious, collaborative, and supportive work environment. We are a US-based, remote-first company, backed by leading VCs and angel investors.
<h3 class="jobSectionHeader">
About The Role</h3>

We're looking for our first Data Engineer to build the data infrastructure that powers insights and features across our coaching platform. You'll own data pipelines for coaching sessions, user analytics, and business operations, while establishing the foundation for our data architecture.

This is not purely about business analytics - In this role, you'll join our engineering team and work closely with product, engineering, coaching, and leadership teams. You'll be embedded in product development&mdash;understanding feature requirements, instrumenting data collection, and building systems that power product capabilities.
<h3 class="jobSectionHeader">
Key Responsibilities:</h3>

Build data pipelines for coaching and user analytics. You'll create pipelines that process coaching session data, user interactions, and AI-generated outputs. These pipelines will power everything from product analytics to coaching effectiveness metrics to business intelligence dashboards.

Build data systems that power product features. You'll create data pipelines that feed back into the product&mdash;user progress tracking, coaching insights, customer dashboards, and more. You'll work with product and engineering to understand what data products need and build reliable systems to deliver it.

Establish our data infrastructure and architecture. As our first data engineer, you'll make key decisions about our data stack&mdash;choosing and implementing tools for orchestration, transformation, warehousing, and analytics. You'll build foundations that can scale with the company.

Process and analyze AI/LLM outputs. You'll work with data from our AI coaching systems, building pipelines to analyze LLM responses, track coaching quality, and generate insights about how users interact with AI coaches.

Support business operations and analytics. You'll build data systems that track customer success metrics, billing data, user engagement, and operational KPIs. Your work will directly inform business decisions and product strategy.

Create accessible analytics infrastructure. You'll build systems that make data available to non-technical stakeholders through dashboards, reports, and self-service analytics tools. You'll think about data quality, documentation, and usability.

Work closely with product on instrumentation and data collection. You'll collaborate with product and engineering teams to instrument new features, define events and metrics, and ensure we're collecting the right data. You'll be involved in product discussions and understand feature requirements from a data perspective.
<h3 class="jobSectionHeader">
Who We're Looking For</h3>

We're looking for a data engineer with mid to senior-level experience who can work independently, make architectural decisions, and build data systems from the ground up. 

You have strong data engineering fundamentals. You're experienced with SQL, Python, and building data pipelines. You understand data modeling, ETL/ELT patterns, and how to design scalable data architectures. You've worked with databases like PostgreSQL and have opinions on data infrastructure tools.

Bonus: You're comfortable with Go. Our backend stack is Ruby and Go, with new development preferentially in Go. While we are happy to use Python as the primary language for data work, comfort with Go is a plus for building production data services and working closely with the backend team.

You can drive technical decisions about data infrastructure. You've evaluated and implemented data tools before&mdash;whether orchestration frameworks, warehouses, transformation tools, or BI platforms. You can assess our needs and recommend the right stack for an early-stage company.

You're comfortable working with diverse data sources. You'll work with operational databases, event streams (Redis), document stores (Elasticsearch), API data, and LLM outputs. You can navigate different data formats and build reliable integrations.

You're comfortable working closely with product teams. You've worked embedded with product and engineering, participated in product discussions, and built data systems that directly power product features. You understand the difference between building for analysis versus building for production product use.

You can build both analytical and operational data pipelines. You've built pipelines for analytics and business intelligence, but you've also built systems that feed data back into products in real-time or near-real-time. You understand the different requirements and tradeoffs.

You have some experience with AI/ML data. You've worked with LLM outputs, unstructured data, or analytics for AI-powered products. You understand the unique challenges of working with AI-generated content and can design appropriate data models.

You work well independently in an early-stage environment. You're comfortable with ambiguity and can prioritize work without extensive direction. You can balance building for immediate needs while creating foundations for future scale.
<h3 class="jobSectionHeader">
Why Work with Us?</h3>

We are a company dedicated to empowering professionals to live meaningful careers. That starts with our culture at Mento.

You're excited about building data infrastructure that serves multiple purposes&mdash;analytics, business intelligence, and powering product features. You want to work closely with product teams and see your data systems directly impact user experience.

We work hard to foster a workplace built around trust, respect, and collaboration. As a remote-first company, we believe in flexibility and autonomy&mdash;as long as you're delivering great work and staying connected with your teammates, you can work from anywhere.

This is an opportunity to join an early-stage, mission-driven team as the founding data engineer. You'll have significant ownership over our data architecture and direct impact on both product and business strategy.

We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our users. If you're passionate about building data systems that help people thrive at work, we want to hear from you. 


Other benefits and perks include:

✈️ Fully Remote - ability to work from anywhere with bi-annual team offsites

 Competitive salary and equity

 Medical, dental, vision, and a 401k plan

 Unlimited vacation (We actually mean this! it's important to keep yourself fresh)

 $500 home office stipend

 Access to your own Mento Coach</div>

Data Engineer

Glocomms

<div>
 
 
 Software Engineer, Data &amp; Machine Learning
 
 
 
 
 Location:
 
 Remote, United States
 
 
 
 Employment Type:
 
 Full-time
 
 
 
 Compensation:
 
 Starting at $110K
 
 
 
 
 
 We're looking for a Software Engineer, Data &amp; Machine Learning to join a growing engineering team focused on building intelligent, production-grade systems. This role is ideal for an engineer with hands-on experience applying machine learning and deep learning techniques to real-world problems, particularly in areas like computer vision and modern AI models.
 
 
 You'll work closely with other engineers and machine learning practitioners to design, train, and deploy models that operate at scale. This is a hands-on role with meaningful ownership over model development, experimentation, and integration into production systems.
 
 
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Design, build, and optimize machine learning models for tasks such as image classification, object detection, or related vision problems
 </li>
 <li>
 Experiment with modern deep learning architectures, including convolutional models and transformer-based approaches
 </li>
 <li>
 Contribute to end-to-end ML workflows, from data preparation and training through evaluation and deployment
 </li>
 <li>
 Analyze large, complex datasets to improve model performance and reliability
 </li>
 <li>
 Write clean, well-documented, production-quality code and contribute to shared ML tooling and infrastructure
 </li>
 <li>
 Partner with cross-functional engineering teams to integrate models into live systems
 </li>
 <li>
 Stay current with emerging techniques in machine learning and applied AI
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 2-5 years of experience in Software Engineering, Machine Learning, or a related field
 </li>
 <li>
 Strong proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or similar
 </li>
 <li>
 Hands-on experience with deep learning models, particularly in computer vision
 </li>
 <li>
 Solid understanding of supervised learning, model evaluation, and core ML concepts
 </li>
 <li>
 Experience with version control and modern development workflows
 </li>
 <li>
 Ability to work effectively in a collaborative, remote-friendly environment
 </li>
 <li>
 Strong problem-solving skills and a curiosity-driven mindset
 </li>
 <li>
 
 Permanent work authorization in the United States is required
 
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 <ul>
 <li>
 Exposure to transformer-based models or multimodal systems (e.g., vision + language)
 </li>
 <li>
 Familiarity with cloud platforms and containerized environments
 </li>
 <li>
 Experience supporting or deploying models in production
 </li>
 <li>
 Background working with experimentation, model tracking, or reproducible ML pipelines
 </li>
 <li>
 Interest in applying ML techniques to high-impact, real-world use cases
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 <ul>
 <li>
 Base salary starting at $110K
 </li>
 <li>
 Equity participation
 </li>
 <li>
 Comprehensive benefits package
 </li>
 <li>
 Fully remote role within the United States
 </li>
 <li>
 Emphasis on ownership, technical growth, and modern engineering practices
 </li>
 </ul>
 
 
 
 
 Location Notes
 
 
 This role is fully remote, but candidates must be based in San Francisco, New York City area, Seattle, Miami, or Austin, TX. The company is building teams in selective talent hubs to maintain convenient access to in-person collaboration when needed and to reduce exposure to future return-to-office mandates.
 
 
 
 
 
 At this time, the employer is unable to provide visa sponsorship or support visa transfers. Candidates must already have permanent work authorization in place.
 
</div>

Data Scientist, Computer Vision

Transcend

<div>
 
 Role Overview
 
 
 
 This is a remote, Full-Time, Exempt position based in the United States. The successful candidate must have valid work authorization, as visa sponsorship is not available. This role reports directly to the
 
 Director of Customer Solutions.
 
 
 
 
 The
 
 Product Enablement Coordinator
 
 will own the implementation of the content, structure and continuous evolution of the company's customer academy (academy.transcend.io). This role transforms implementation knowledge, product workflows, and solution architecture insights into scalable learning experiences that accelerate customer onboarding, improve adoption, and reduce reliance on senior technical resources. The position is central to building a durable knowledge asset that supports automation, self-service implementations, and future AI-driven solution architecture and custom GPT guidance systems.
 
 
 
 Just like the world around us, this role will rapidly evolve as the systems get more intelligent and the impact of this role compounds over time. Here's what to expect as the role evolves:
 
 
 
 First 6 Months
 
 
 
 <ul>
 <li>
 Design and stabilize the academy foundation
 </li>
 <li>
 Structure learning paths by persona, use case, and lifecycle stage
 </li>
 <li>
 Establish content standards and templates
 </li>
 <li>
 Build initial SCORM-based training modules
 </li>
 <li>
 Create repeatable content production workflows
 </li>
 <li>
 Work with the Solutions Architecture team to translate implementation patterns into training
 </li>
 <li>
 Implement governance for version control and release alignment
 </li>
 <li>
 Set up analytics tracking within LearnWorlds to establish time-to-value baselines
 
 
 </li>
 </ul>
 
 Next Twelve Months
 
 
 
 <ul>
 <li>
 Optimize the academy based on learner engagement and completion data
 </li>
 <li>
 Analyze onboarding friction and support deflection opportunities
 </li>
 <li>
 Prioritize new modules using structured implementation insights
 </li>
 <li>
 Refine course sequencing and learning journeys
 </li>
 <li>
 Expand the academy into certifications and role-based tracks
 </li>
 <li>
 Launch onboarding cohorts and live training programs/webinars
 </li>
 <li>
 Deepen integrations with Asana and related systems to improve self-serve motion
 
 
 </li>
 </ul>
 
 Eighteen Months and Beyond
 
 
 
 <ul>
 <li>
 Steward the long-term knowledge and adoption ecosystem
 </li>
 <li>
 Oversee continuous improvement of SCORM and learning assets
 </li>
 <li>
 Ensure alignment between academy content and solution data
 </li>
 <li>
 Contribute to AI assistance and knowledge automation initiatives
 </li>
 <li>
 Drive partner, employee, and customer enablement programs
 </li>
 <li>
 Lead strategic improvements in activation and retention
 </li>
 <li>
 Maintain content accuracy through ongoing product evolution
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop academy content, structure, and learner journeys
 </li>
 <li>
 Translate solution architecture and implementation data into training modules
 </li>
 <li>
 Maintain content accuracy across product releases
 </li>
 <li>
 Manage SCORM content lifecycle and portability standards
 </li>
 <li>
 Analyze engagement and performance metrics
 </li>
 <li>
 Partner with Solutions &amp; Support Engineering, Product, Customer Success, and Sales
 </li>
 <li>
 Support certifications and advanced enablement programs
 
 
 </li>
 </ul>
 
 Success Metrics
 
 
 
 <ul>
 <li>
 Reduction in repetitive Solutions &amp; Support Engineering customer engagements
 </li>
 <li>
 Improvement in onboarding and activation speed
 </li>
 <li>
 Academy engagement and completion rates
 </li>
 <li>
 Support ticket deflection and resolution efficiency
 </li>
 <li>
 Alignment between academy content and implementation realities
 </li>
 <li>
 Contribution to retention and expansion outcomes for customers implementing additional products
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required:
 
 
 <ul>
 <li>
 You bring 2-3 years of experience in technical enablement, content creation, enterprise onboarding, program management, and/or e-learning management.
 </li>
 <li>
 You have 6-12mo experience using AI tools &amp; systems for content generation or course development.
 </li>
 <li>
 You are an excellent communicator with a knack for explaining technical concepts to both technical and non-technical audiences.
 </li>
 <li>
 You have demonstrated the ability to rapidly develop deep product knowledge and translate it into effective technical content creation and enablement.
 </li>
 <li>
 You are highly organized and detail-oriented while managing many concurrent workstreams.
 </li>
 <li>
 You're comfortable working independently in a fully remote, rapidly changing environment with dynamic objectives and across multiple time zones.
 </li>
 <li>
 You embrace continuous, self-driven learning.
 </li>
 <li>
 You are adaptable and resourceful; you are able to build structure and process in a scaling startup organization.
 
 
 </li>
 </ul>
 Preferred:
 
 
 <ul>
 <li>
 Experience in SaaS enablement, LMS management, or customer education
 </li>
 <li>
 Strong ability to simplify technical concepts
 </li>
 <li>
 Comfortable working with software engineers and solution architects
 </li>
 <li>
 Proven ability to use analytics and data to drive decision-making
 </li>
 <li>
 Experience with SCORM or structured learning standards preferred
 </li>
 <li>
 Experience with JavaScript/HTML/CSS
 
 
 </li>
 </ul>
 
 This role is eligible for:
 
 
 
 <ul>
 <li>
 
 Variable Sales Incentive Compensation
 
 : Transcend's Incentive Plan is designed to reward achievement of Org goals.
 </li>
 <ul>
 <li>
 OTE Projection: When base salary and target incentive are combined, the projected OTE for this role is listed as the pay range below, assuming achievement of 100% of goals.
 
 </li>
 </ul>
 </ul>
 
 Compensation Information
 
 
 
 <ul>
 <li>
 Our comprehensive compensation packages play a big part in how we recognize you for the impact you have on our path to bringing data rights to everyone.
 </li>
 <li>
 The compensation pay range represents our reasonable expectation for this role. Individual pay is determined by multiple factors, including, but not limited to, experience, education, skillset, and geographic location.
 </li>
 <li>
 This specific range applies to Tier 1 labor markets like the SF Bay Area and New York City; it may be adjusted based on the labor market in other geographic areas and the individual qualifications objectively assessed during the interview process.
 
 
 </li>
 </ul>
 USA Pay Range
 
 
 $95,000&mdash;$105,000 USD
 
 
 
 About Transcend
 
 
 
 Transcend is the compliance layer for customer data, enabling enterprises to activate AI responsibly and at scale. We're building the platform that makes data governance, privacy compliance, and AI oversight seamlessly integrated across your entire tech stack.
 
 
 We are driven by the belief that building robust, accessible infrastructure for responsible AI and data rights is one of the most impactful ways to spend our time. To achieve this, we're assembling an ambitious and passionate team that enjoys tackling important, future-focused problems at the intersection of AI, privacy, and compliance.
 
 
 We're growing quickly, backed by top-tier investors including
 
 Accel
 
 ,
 
 Index
 
 ,
 
 01A
 
 ,
 
 StepStone Group
 
 , and
 
 HighlandX
 
 , and we are proud to serve some of the world's most iconic brands. Learn more on our
 
 Customer Stories Page
 
 
 .
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Impactful Work: We believe that enabling responsible AI adoption while protecting individual privacy rights is one of the most impactful ways to spend our time. You'll be at the forefront of building the compliance layer that helps enterprises navigate the rapidly evolving landscape of AI regulation, data privacy, and customer data governance.
 </li>
 <li>
 Autonomy and Growth: You will have the trust and autonomy to drive initiatives from the start. As an early hire in a fast-growing startup defining a new category, you'll have significant opportunities to shape the organization's direction and work on a diverse array of challenging projects.
 </li>
 <li>
 Dynamic Environment: As the best-in-class solution in an emerging market, Transcend operates at the intersection of AI innovation and compliance. Our product evolves quickly to meet new client needs and adapt to advancing privacy law, AI regulations, and enterprise requirements.
 </li>
 <li>
 Supportive Culture: The people at Transcend are driven, kind, and know how to balance work, life, and memes. We learn from each other and maintain a strong support system while having fun solving important problems that matter.
 </li>
 <li>
 Commitment to Diversity and Equal Opportunity: We celebrate a diverse and inclusive workforce and consider all forms of diversity, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and veteran status. Our commitment ensures equitable employment opportunities, non-discrimination in all practices, and a workplace where every employee feels valued and respected. We also consider all qualified applicants with arrest and conviction records, as legally required. If you are enthusiastic about this role but feel your experience doesn't perfectly match every qualification, we strongly encourage you to apply.
 </li>
 <li>
 Benefits &amp; Perks: Transcend employees enjoy a comprehensive benefits program that includes flexible PTO, parental leave, a 401(k) match, and competitive compensation packages that include employee equity. Learn more about our offerings here.
 
 
 </li>
 </ul>
 By applying for this position, your data will be processed per Transcend's Privacy Policy.
</div>

Product Enablement Coordinator

Appier

<div>
 
 About Appier
 
 
 
 Appier (TSE: 4180) is an AI-native Agentic AI as a Service (AssA) company that empowers businesses to create value through cutting-edge AdTech and MarTech solutions. Founded in 2012 with the vision of &ldquo;Making AI Easy by Making Software Intelligent,&rdquo; Appier helps businesses turn AI into ROI through its Ad Cloud, Personalization Cloud, and Data Cloud&mdash;each powered by Agentic AI that enables autonomous, adaptive, and real-time decision-making. Today, Appier operates 17 offices across APAC, the US, and EMEA, and is listed on the Tokyo Stock Exchange. Learn more at www.appier.com.
 
 
 
 About The Role
 
 
 
 We are seeking a highly motivated and Investment Analyst to join our growing Corp Dev team. In this role, you will support the execution of investments, M&amp;A transactions, and strategic partnerships. You will work closely with internal stakeholders, external advisors, and senior leadership to identify opportunities, evaluate targets, and drive strategic initiatives aligned with the company&rsquo;s growth strategy. This will be a remote role with some traveling required. Ideal location, San Francisco, New York, Seattle.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Deal Sourcing &amp; Research
 </li>
 </ul>
 <ul>
 <li>
 Conduct market research, competitive analysis, and industry mapping to identify investment and M&amp;A opportunities.
 </li>
 <li>
 Track sector trends and provide regular strategic insights.
 </li>
 <li>
 Financial Modeling &amp; Valuation
 </li>
 </ul>
 <ul>
 <li>
 Build and maintain financial models for investment targets and M&amp;A opportunities.
 </li>
 <li>
 Perform valuation analyses using DCF, precedent transactions, trading comps, and other methodologies.
 </li>
 <li>
 Due Diligence &amp; Deal Execution
 </li>
 </ul>
 <ul>
 <li>
 Support due diligence processes across financial, commercial, legal, and technical areas.
 </li>
 <li>
 Assist in preparing internal investment memos, presentations, and board materials.
 </li>
 <li>
 Liaise with external advisors (e.g., bankers, lawyers, consultants) during deal execution.
 </li>
 <li>
 Strategic Planning &amp; Integration
 </li>
 </ul>
 <ul>
 <li>
 Work cross-functionally with product, finance, legal, and operations teams on strategic initiatives.
 </li>
 <li>
 Support integration planning and tracking post-close KPIs for acquired companies.
 </li>
 <li>
 Pipeline &amp; Process Management
 </li>
 </ul>
 <ul>
 <li>
 Maintain the M&amp;A and investment opportunity pipeline.
 </li>
 <li>
 Support internal reporting and tracking of strategic initiatives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in investment banking, private equity, management consulting, corporate development, or a related field.
 </li>
 <li>
 Strong financial modeling and valuation skills.
 </li>
 <li>
 Proficient in Excel, PowerPoint, and data analysis tools; familiarity with CapIQ, PitchBook, or similar platforms a plus.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to synthesize and present complex information clearly.
 </li>
 <li>
 Highly analytical, detail-oriented, and capable of managing multiple workstreams in a fast-paced environment.
 </li>
 <li>
 Passion for technology, M&amp;A, and strategic growth.
 
 
 </li>
 </ul>
</div>

Investment Analyst

Explore 371+ Ai trainer data annotator remote in San Francisco this March. Find roles across top companies and apply now to boost your career.