Appen

Product Manager - Pre- Labelled Data Sets

Job Locations US-Remote | US-CA-Sunnyvale
Posted Date 1 week ago(5/19/2022 6:04 PM)
ID
2022-6157
Category
Project Management

Overview

Product Manager – Pre-Labelled Datasets

 

 


Company Overview
Appen is the leading provider of Data for the AI lifecycle. Appen’s products are used to build and continually improve the world’s most innovative artificial intelligence systems. Appen has three core suites of products (Data Sourcing, Data Preparation, and Model Evaluation by Humans) that cover images, text, speech, audio, video, and other data modalities.

 

 


Summary
High-quality training data necessarily requires human beings to record and transcribe speech, for example, or recognize the contents of complex images. Appen uses a crowdsourced model to engage humans at scale, while providing customers a framework to manage the cost, time, and complexity in producing human-annotated data sets. Appen relies on technology to accelerate and reduce the cost of humans preparing training data. It invests continuously in its crowd management and customer service platforms, leveraging its own in-house-developed machine-learning models as needed.

 


Appen’s strategy is built on four pillars:


• Growth: Drive revenue growth in target new markets
• Automation: Leverage AI and ML in labelling operations to improve the productivity and
quality of customer outcomes
• Expand: Add new products and capabilities to expand into the broader data and AI market
• Evolve: Improve the scalability of our operations including sales, project delivery, and crowd
management

 

Appen is continuing to invest in its Data for AI platform, facilitating data sourcing, preparation, annotation, and automated testing of models to bring the benefits of AI accessible to a broad range of products and services being developed by our customer in many industry verticals. Although Appen is a 25-year-old profitable company with considerable resources being invested in all areas, Appen matches the pace and innovative spirit of a startup company that offers flexible work-life balance options.

 

 

The Position
We are looking for a market-oriented, entrepreneurial product manager with Artificial Intelligenceand Machine Learning experience (such as Natural Language Processing) to own the business initiatives around Appen’s catalog of reusable sets of data that customers use to anchor the training of advanced machine-based AI models.

 


As a 25-year-old company in the “Data for AI” space, Appen’s ever expanding catalog of data it can license customers is an asset class that requires a portfolio mentality in maximizing a book of business and continuously extending the broadest range of high quality training data available for rapid deployment by our customers and partners.

 

 

Responsibilities
Your responsibilities will demand excellent communication and partnering skills, data-driven
decision making, and continuous evaluation of new business opportunities:


• Conduct domain research and competitive analysis to identify new initiatives
• Propose new business cases to executive management and obtain buy-in on investments
that regularly exceeds millions of dollars per quarter
• Own the roadmap for PLD (or Pre-Labelled Datasets) investments, and the retrospective
perspective on the ROI of prior investments
• Drive the development of channel partner reseller models, embedding PLDs into offerings by
various other players in the AI/ML industry (Managed Services, Consultants, System
Integrators, etc.)
• Work closely with key customers and partners to solicit, validate, and generate new PLD
opportunities
• Collaborate with Marketing on e-commerce-type selling models the promote Appen’s PLD
offerings, with variants both on the corporate site and in-product placement in our
customer-facing software platform
• Work closely with Data Science, Product Management, Managed Services, Legal, and
Finance teams to evolve roadmap priorities and maximize revenue growth
• Build reporting models for tracking sales, both direct and indirect through channel partners
• Deep analysis of production cost, pricing and profit margins, leading to tracking of key
business metrics and reporting results directly to executive management on a regular basis

 

 

 

Qualifications:


• BA/BS degree, with MBA highly desirable
• 2+ years of experience in product management
• Prior experience in setting up channel partnerships and/or working closely with a business
development team
• Experience using data-driven analytics to gain insights on current situations, new
opportunities, and product line performance
• Experience working directly with customer stakeholders to formulate strategies to improve
customer satisfaction and increased business value

 

 

 

About Appen

Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. With deep expertise in more than 180 languages and access to a global crowd of over 1 million skilled contractors, Appen partners with technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.

 

At Appen, we value performance, honesty, humility, and grit. We persevere and remain focused, whilst maintaining agility to achieve quality outcomes and exceed expectations. We’re truth tellers – respectfully of course. We take accountability for our actions and believe in giving and receiving direct feedback. We give credit where credit is due and show gratitude to others for their contributions. We seek diverse perspectives as we recognize the value in teamwork and collaboration. Through grit, we take ownership, and we don’t give up.

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 

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