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ai enablement specialist Jobs in New York

ai enablement specialist

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ai trainer - freelance data annotator Jobs in New York

ai trainer - freelance data annotator

ai training experts - us (est) Jobs in New York

ai training experts - us (est)

ai training experts us est

Prolific

<div>
 AI Training Experts
 <br/>
 <br/>
 <strong>
  <em>
   About Prolific
   <br/>
   <br/>
  </em>
 </strong>
 Prolific is not just another player in the AI space &ndash; we are building the biggest pool of quality human data in the world.
 <br/>
 <br/>
 Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.
 <br/>
 <br/>
 <em>
  <strong>
   The role
   <br/>
   <br/>
  </strong>
 </em>
 We're looking for AI Training Experts to help train and evaluate cutting-edge AI models. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a participant, where you'll get paid to train and evaluate powerful AI models.
 <br/>
 <br/>
 Researchers looking for your skills tend to pay upto of $25/hr per AI task completed. You must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter.
 <br/>
 <br/>
 <em>
  <strong>
   What you'll bring
   <br/>
   <br/>
  </strong>
 </em>
 <ul>
  <li>
   AI Training task skills and verifiable professional experience as an AI Trainer
  </li>
  <li>
   A willingness to take our skills verification test to assess your suitability for our participant pool
  </li>
  <li>
   Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
  </li>
  <li>
   A reliable and fast internet connection and access to a computer
  </li>
  <li>
   A willingness to self-declare your earnings, as our participants are self-employed
  </li>
  <li>
   A Paypal account to receive payment from our clients
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <strong>
   What you'll be doing in the role
   <br/>
   <br/>
  </strong>
 </em>
 <ul>
  <li>
   Completing AI training tasks such as analyzing, editing, and writing annotations
  </li>
  <li>
   Judging the performance of AI in performing
  </li>
  <li>
   Improving cutting-edge AI models
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  <strong>
   Key Technologies
   <br/>
   <br/>
  </strong>
 </em>
 <ul>
  <li>
   General AI Training
  </li>
  <li>
   Image and Video Annotation
  </li>
  <li>
   Trust and Safety
  </li>
  <li>
   Evals
  </li>
  <li>
   Red Teaming
  </li>
  <li>
   Quality Analytics
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  Why Prolific is a great platform to join as a Participant
  <br/>
  <br/>
 </em>
 Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.
 <br/>
 <br/>
 We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.
 <br/>
 <br/>
 We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation &ndash; one that reflects the breath and the best of humanity.
 <br/>
 <br/>
 <em>
  <strong>
   Links to more information on Prolific
   <br/>
   <br/>
  </strong>
 </em>
 Website
 <br/>
 <br/>
 Youtube
 <br/>
 <br/>
 <em>
  Privacy Statement
  <br/>
  <br/>
 </em>
 <strong>
  By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.
 </strong>
</div>


AI Training Experts - US (EST)

Spotify

<div><div><div><div><div><div>Engineering</div></div></div></div><div><div>
Permanent</div></div><div><div>
New York</div></div><div><div>
We are seeking Data Engineers to join our Artist-First AI Music lab. Our team designs and builds state-of-the-art generative products for music that create breakthrough experiences for fans and artists. We invent entirely new listening experiences that center and celebrate artists and creatives. All of our products will put artists and songwriters first, through these four principles:</div></div><div><div><div><br>
</div><div>Partnerships with record labels, distributors, and music publishers: We&rsquo;ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later.</div><div><br>
</div><div>Choice in participation: We recognize there&rsquo;s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music.</div><div><br>
</div><div>Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions.</div><div><br>
</div><div>Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections.</div></div></div></div><div><div><p>
What You'll Do</p><ul><li>
Build and maintain large-scale data pipelines, including ML pipelines, with data processing frameworks like Scio and Python-based tools on Google Cloud Platform.</li><li>
Leverage data engineering best practices in continuous integration and delivery.</li><li>
Help drive optimization, testing and tooling to improve data quality and reliability.</li><li>
Collaborate with engineers, product managers, subject matter experts, and stakeholders while taking on learning and leadership opportunities that arise every day.</li><li>
Work in cross-functional, agile teams to continuously experiment, iterate, and deliver on new product objectives.</li></ul></div></div><div><div><p>
Who You Are</p><ul><li>
You have at least 3+ years of professional experience working in a product-driven environment.</li><li>
You have experience working with high-volume, heterogeneous data using distributed systems and big data technologies such as Python, Scala (e.g., Scio), Ray, Apache Spark, or similar frameworks used for distributed data processing.</li><li>
You are proficient in designing and building distributed data pipelines in Python, Scala, or Java, with experience in frameworks like Scio on platforms such as Dataflow.</li><li>
You understand data modeling, data access, and data storage techniques, and can apply them to both batch and analytical processing (e.g., using BigQuery for analysis).</li><li>
You value iterative software processes, data-driven development, reliability, and responsible experimentation, with attention to cost efficiency and best practices in data engineering.</li><li>
You thrive in collaborative environments and enjoy working with cross-functional teams.</li><li>
You are a creative problem solver who is passionate about building outstanding products that add real value to millions of people.</li><li>
You are enthusiastic about learning more about turning research ideas into products operating at scale</li></ul></div></div><div><div><p>
Where You'll Be</p><ul><li>
We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location.</li><li>
This team operates within the EST time zone for collaboration.</li></ul></div></div><div><div><p>
Learn about life at Spotify</p></div><div><div>
The United States base range for this position is $125,300 - $179,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future.</div><div></div><div><br>
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what&rsquo;s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It&rsquo;s in our differences that we will find the power to keep revolutionizing the way the world listens.</div><div></div><div><br>
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we&rsquo;re here to support you in any way we can.</div><div></div><div><br>
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world&rsquo;s most popular audio streaming subscription service.</div></div></div><div><div><p>
Our global benefits</p></div><div></div><div><div>
Extensive learning opportunities, through our dedicated team, GreenHouse.</div></div><div></div><div><div>
Flexible share incentives letting you choose how you share in our success.</div></div><div></div><div><div>
Global parental leave, six months off - for all new parents.</div></div><div></div><div><div>
All The Feels, our employee assistance program and self-care hub.</div></div><div></div><div><div>
Flexible public holidays, swap days off according to your values and beliefs.</div></div></div></div><div></div>

Data Engineer II, Gen AI, Music

Trovo Health

<div>
 <strong>
  About Us
  <br/>
  <br/>
 </strong>
 Trovo Health is building the AI-powered care team platform for infinitely scalable clinical capacity. We radically increase access and improve quality of care by combining AI agents with clinical experts to take on high-impact clinical operations and care management activities for healthcare organizations.
 <br/>
 <br/>
 We&rsquo;re growing rapidly and are backed by Oak HC/FT, investors in leading healthcare and technology companies such as Ambience Healthcare, Devoted Health, VillageMD, CareBridge, Main Street Health, Maven Clinic, and more.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 We are looking for a highly capable AI / ML Engineer to help build and scale Trovo Health&rsquo;s AI Care Team platform. This is a broad-scope, hands-on engineering role for a technical builder with strong ML fundamentals, production experience, and a product-oriented mindset. As an early member of the engineering team, you will play a critical role in designing, training, deploying, and operating the ML systems that power Trovo&rsquo;s AI coordinator.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and own AI systems end-to-end: Ingest, structure, and analyze large volumes of unstructured healthcare data, and design production-grade data and ML pipelines for both training and inference.
  </li>
  <li>
   Develop NLP and LLM-powered features: Design, evaluate, and deploy models using modern NLP frameworks and LLM APIs, with a strong focus on real-world performance and reliability.
  </li>
  <li>
   Operate at production scale: Architect and maintain cloud-based ML workflows in AWS, including containerized services and orchestration for data processing, training, and inference.
  </li>
  <li>
   Continuously improve model quality: Monitor, test, and iterate on model accuracy, robustness, privacy, and safety within live clinical workflows.
  </li>
  <li>
   Contribute across the product: Collaborate across the stack&mdash;from APIs and backend systems to product UX and workflow design&mdash;to deliver cohesive, AI-driven features.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We Expect You To Have
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   ML and data depth: 3+ years of experience ingesting, structuring, and analyzing diverse data sources, with strong proficiency in Python, SQL, and data tooling (e.g., pandas or equivalent).
  </li>
  <li>
   Production AI experience: Hands-on experience building and operating NLP and/or LLM-powered systems in production, including frameworks such as spaCy, LangChain, and extensive LLM API usage.
  </li>
  <li>
   Pipeline expertise: Significant experience designing and maintaining data and ML pipelines in production environments.
  </li>
  <li>
   Cloud and infrastructure fluency: Experience working in AWS environments, including containerized workloads and orchestration for training and inference.
  </li>
  <li>
   Healthcare familiarity: Experience working with healthcare data and an understanding of the constraints of regulated environments, or strong motivation to develop this expertise.
  </li>
  <li>
   Cross-functional communication: Ability to collaborate effectively with engineers, product leaders, and clinical stakeholders.
  </li>
  <li>
   Ownership mentality: Demonstrated success operating in early-stage or high-growth environments with broad technical responsibility.
  </li>
  <li>
   Full-stack capabilities: Comfort contributing beyond core ML work, including APIs, system design, or frontend-adjacent development when needed.
  </li>
  <li>
   NYC-based: You are based in New York and excited to be in-office ~3 days per week.
   <br/>
   <br/>
  </li>
 </ul>
 Target compensation for this role is $200-$250k, plus equity and a generous benefits package.
 <br/>
 <br/>
 Trovo Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
</div>


AI/Machine Learning Engineer

KYRA

<div><h2 class="jobSectionHeader"><b>About Kyra</b></h2><p>
We run influencer marketing for large brands. Not one-off posts. Structured programs designed to drive real business outcomes.</p><p>
We use data and AI to improve creator selection and performance forecasting, but this role isn&rsquo;t about buzzwords. It&rsquo;s about running strong accounts, delivering consistently, and growing revenue year over year. We&rsquo;ve scaled quickly. Now we need someone who knows how to manage enterprise clients properly.</p><p></p><p>
As <b>Campaign Manager</b>, you&rsquo;ll be the engine that powers Kyra&rsquo;s creator campaigns from start to finish. You&rsquo;ll manage day-to-day campaign delivery, ensuring that everything runs on time, on budget, and to the highest creative standard. From briefing creators to reporting back to clients, you&rsquo;ll bring structure, energy, and problem-solving to every campaign you touch.</p><p></p><h2 class="jobSectionHeader"><b>
What You&rsquo;ll Be Doing</b></h2><p>
<b>Campaign Management</b></p><ul><li><p>
Own day-to-day management of influencer marketing campaigns across multiple brands</p></li><li><p>
Oversee campaign timelines, budgets, deliverables, and approvals</p></li><li><p>
Be the main point of contact for creators, clients, and internal teams</p></li></ul><p>
<b>Client Service</b></p><ul><li><p>
Build trusted relationships with clients by delivering clear, proactive communication</p></li><li><p>
Anticipate client needs and ensure campaigns exceed expectations</p></li></ul><p>
<b>Creator Collaboration</b></p><ul><li><p>
Source, brief, and manage creators throughout campaign lifecycles</p></li><li><p>
Ensure content meets brand guidelines, cultural nuance, and campaign objectives</p></li></ul><p>
<b>Reporting &amp; Optimisation</b></p><ul><li><p>
Track campaign performance using Kyra&rsquo;s proprietary platform and analytics tools</p></li><li><p>
Provide actionable insights and recommendations for future campaigns</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What You Bring</b></h2><p>
<b>Experience &amp; Skills</b></p><ul><li><p>
3-4 yrs experience in influencer marketing, talent management, or campaign/project management</p></li><li><p>
Negotiation experience w/ creators
</p></li><li><p>Creator contracting experience
</p></li><li><p>Strong written-communication skills</p></li><li><p>
Ideally some client facing experience</p></li><li><p>
Must be able to work US hours (EST/CT/PST)</p></li><li><p>
Strong organisational prioritizations skills with the ability to juggle multiple projects at speed</p></li><li><p>
Confident communicator who can manage stakeholders with ease</p></li></ul><p></p><p>
<b>Industry Knowledge</b></p><ul><li><p>
Strong cultural competency and knowledge of trends for US market</p></li><li><p>
Understanding of social media platforms, creator culture, and digital marketing</p></li><li><p>
Passion for the creator economy and emerging cultural trends</p></li></ul><p></p><p>
<b>Mindset &amp; Drive</b></p><ul><li><p>
Proactive problem-solver who thrives in a fast-paced environment</p></li><li><p>
Collaborative, adaptable, and committed to high standards</p></li></ul><p></p><p><b>
Sound like you?</b></p><p>
We&rsquo;d love to hear from campaign managers who are ready to step up and deliver impactful creator marketing at scale.</p><p></p><h2 class="jobSectionHeader"><b>
Benefits</b></h2><p><b>
We&rsquo;re a remote-first team</b>, giving you the flexibility to work from wherever you do your best work<br>
<b>Annual Time Off: </b>25 days PTO + bank holidays, 4 company-wide days off (Kyra Days), 3 wellness days, and paid sick leave each year<br>
<b>Growth:</b> Annual Learning &amp; Development budget to invest in your skills.<br>
<b>Rewards:</b> Annual bonus scheme to recognise great work<br>
<b>Healthcare stipend</b> for US-based team members</p><p></p><p>
AI is core to how we operate. Use it to elevate your work. But everything in your application should reflect your own judgement and experience.</p><p></p><p><b>
Support</b></p><p>
If you have a condition or require an adjustment to our interview process - please let us know so we can make adjustments to support you. Please note that when you submit an application or resume, your data will be processed in line with our <b>privacy policy</b>.</p><p>
Compensation Range: $70K - $75K</p></div>

Campaign Manager

Learning and Performance Partner

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient.<br>
<br>
As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services.<br>
<br>
Utility Computing (UC)<br>
AWS Utility Computing (UC) provides product innovations &mdash; from foundational services such as Amazon&rsquo;s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS&rsquo;s services and features apart in the industry. As a member of the UC organization, you&rsquo;ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.<br>
<br>
Key job responsibilities<br>
<ul><li>Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing.</li><li>Build and own critical infrastructure powering Amazon's next-generation AI capabilities</li><li>Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems</li><li>Optimize existing algorithms and systems for performance, scalability, and reliability</li><li>Contribute to the full software development lifecycle, from conception to production deployment</li><li>Mentor junior engineers and promote best practices in software development and AI implementation</li></ul><br>
A day in the life<br>
<ul><li>Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon</li><li>Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering</li><li>Growth: Learn from experts while working with the latest in AI technology</li><li>Purpose: Help shape responsible AI development practices and sustainable computing</li><li>Team: Join a collaborative environment focused on solving complex, meaningful challenges</li></ul><br>
This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds.<br>
<br>
About the team<br>
About AWS<br>
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.<br>
<br>
Diverse Experiences<br>
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
<br>
<br>
Work/Life Balance<br>
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
<br>
<br>
Inclusive Team Culture<br>
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.<br>
<br>
Mentorship &amp; Career Growth<br>
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.<br>
<br>
</div><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with AI/ML technologies</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Knowledge of Python and/or C++ programming</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 158,100.00 - 213,800.00 USD annually</div><p></p>

Software Development Engineer, Data Integration AI and Platform Excellence (APEX)

NoGood

<div>We are:<p>
Goodie helps leading brands win AI search. As billions of people use ChatGPT, Perplexity, Gemini, and other AI systems to discover products and make buying decisions, brands need a way to understand and influence how they&rsquo;re represented.</p><p>
Goodie gives teams a full AI control plane: real-time visibility into how AI models speak about their brand and products, how competitors show up, and an optimization engine to improve visibility and performance. This category didn&rsquo;t exist two years ago - we were early, and we&rsquo;re defining it.</p><p>
We&rsquo;re backed by strong investors, trusted by category-leading customers, and scaling fast. We&rsquo;re hiring curious, ambitious builders to help shape the future of AI search.</p><p></p>
We are looking for:<p>
As a Product Manager for the Goodie AI, you will drive development and launch of AI products focused on marketing use cases. You will work closely with our Engineering and Design teams to solve some of the most interesting problems in the world of marketing and build scalable, industry-leading observability platform.<br>
<br>
</p>You'll do:<ul><li>
Lead and drive the product development lifecycle from ideation to launch, ensuring alignment with product vision, customer needs. .</li><li>
Manage project timelines, resources, and deliverables to ensure velocity in deployment and successful on-time product launches.</li><li>
Utilize product analytics tools to gather insights, measure product performance, and inform data-driven decisions.</li><li>
Define and prioritize product features, creating clear roadmaps and communicating them effectively to stakeholders.</li><li>
Drive the development of marketing collateral, including landing pages, guides, and presentations, to effectively communicate product value.</li><li>
Work closely with sales and marketing teams to support go-to-market strategies and product positioning.</li><li>
Continuously assess market trends and customer feedback to refine and improve products.</li><li>
Ensure that all products meet high standards of quality, usability, and performance.</li><li>
Foster a culture of continuous learning and improvement within the AI Lab.</li></ul>
You have:<ul><li>
4+ years of experience in product management, preferably with B2B SaaS products focused on marketing use cases and persona.</li><li>
Strong knowledge and passion for AI, with experience in Generative AI product development being a plus.</li><li>
A degree in Product Management, Computer Science, Data Analytics, Marketing, or a related field is a plus.</li><li>
Experience working with consumer to mid-market B2B SaaS products.</li><li>
Proficiency in product analytics tools like Mixpanel, Amplitude or Aha!</li><li>
A proven track record of coordinating between design and engineering teams to achieve sprint goals on time.</li><li>
Excellent project management skills and the ability to manage multiple priorities effectively.</li><li>
Strong communication skills with the ability to convey product value through landing pages, guides, and presentations.</li><li>
An analytical mindset with the ability to drive product decisions based on data and users feedback.</li><li>
A collaborative approach, working seamlessly with cross-functional teams to deliver results.</li></ul>
Benefits &amp; Perks Of Becoming a Goodie:<ul><li>
Earn More, Together: Base Pay + Profit Sharing &amp; Commissions Opportunities</li><li>
Health First: Premium Medical, Dental &amp; Vision Coverage</li><li>
Flex Work Environment: Hybrid at HQ and Remote Globally</li><li>
Set Up Shop: Home Office Stipend</li><li>
Recharge Anytime: Unlimited PTO Plan</li><li>
Family First: Paid Parental Leave Plan</li><li>
Secure Your Future: 401(k) Plan with Employer Matching</li><li>
Level Up: Mentorship &amp; Career Growth Support</li><li>
Always Be Learning: Access to Top-tier Resources &amp; Industry Experts</li><li>
Work Hard, Play Harder: Quarterly Team Trips (Onsite and Offsite)</li><li>
Mind &amp; Body Wellness: Gym, Wellness, and Access to Mental Health Plans</li><li>
Fuel Your Day: Free Lunch, Snacks, Cold Brew, &amp; Happy Hours</li><li>
Grow With Us: Endless Opportunities to Lead &amp; Succeed</li><li>
Keep on Shining: Ongoing Employee Development Programs</li></ul><p></p><p><b>
EEO &amp; Compensation Transparency Statement:</b><br>
Goodie AI is committed to pay transparency and equity among all employees and provide employees an environment where pay transparency and dialogue on compensation are allowed. Goodie AI complies with federal, state, and local laws on compensation, pay transparency, and pay equity. We take factors including geographic location, education, training, skillset, market rates, certifications, and more into consideration when constructing pay ranges for new and existing roles within our organization. The compensation range for this position is $110,000-$140,000.</p><p>
At Goodie AI, we understand that diversity in the workplace is vital to a company&rsquo;s success and growth. We strive to make sure that our team members are included and have a sense of belonging that makes us a great company to work with and a great company to work for. To that end, Goodie AI is committed to Equal Opportunity Employment and comply with all Equal Opportunity Employment laws. We will consider all qualified applicants without regard to race, religion, color, national origin, sex, gender identity, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will work to make reasonable accommodations available in the job application and interview process, to perform essential duties of the job function, and to retrieve other benefits and privileges of employment with our organization.</p><p><br>
BEWARE OF FRAUD! Please be aware of potentially fraudulent job postings or suspicious activity by persons that are posing as Goodie team members, recruiters, and HR employees. Our team will contact you regarding job opportunities from email addresses ending in @nogood.io or @higoodie.com. Additionally, we do utilize our ATS- Ashby- to help us schedule initial screening calls. Job seeking is hard- we&rsquo;re sorry that scammers have added this element to your search for something new. Stay vigilant out there!</p></div><p></p>

Product Manager

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