Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.
Scope of the Role:
We're looking for a Sales Development Representative who knows the GenAI landscape and loves the hunt. You'll be the first point of contact for prospective clients, identifying and qualifying opportunities, building trusted relationships, and partnering closely with our Sales Director to grow our pipeline.
What You’ll Own
Lead Generation and Prospecting:
- Conduct thorough research to identify and target potential customers within the ideal customer profile.
- Utilize various outreach channels including cold calling, email, social media, and LinkedIn to connect with prospects.
- Develop personalized outreach strategies to engage prospects based on their needs and pain points.
Lead Qualification:
- Conduct in-depth conversations to understand prospect needs, business challenges, and buying authority.
- Qualify leads based on established criteria like company size, industry, job title, and budget.
- Effectively assess the potential of each lead and prioritize opportunities accordingly.
Sales Pipeline Management:
- Manage a robust pipeline of qualified leads by tracking progress and ensuring timely follow-up in salesforce.
- Schedule calls and meetings between qualified prospects and the sales director.
- Collaborate closely with the sales director to ensure a seamless handoff of qualified leads.
Relationship Building:
- Establish rapport with potential customers and build trust through effective communication.
- Nurture leads by providing valuable information and addressing concerns.
- Position themselves as a trusted advisor to prospects throughout the sales cycle.
Data Analysis and Reporting:
- Monitor key sales metrics and analyze performance data to identify areas for improvement.
- Utilize CRM tools to track outreach activities, lead qualification, and sales pipeline progression.
- Provide regular updates to sales leader on progress and insights.
You’ll Thrive in This Role If You Have:
- Proven track record of success in a sales development role, ideally selling experience across complex machine learning, AI and/or data labeling services.
- Strong knowledge of GenAI, to include LLM, SFT and Trust and Safety is critical.
- Excellent communication and interpersonal skills, including the ability to build rapport quickly.
- Strong understanding of sales methodologies and best practices.
- Ability to research and identify potential customers effectively.
- Excellent time management and organizational skills to manage a high volume of leads.
- Strong listening skills to understand customer needs and pain points.
The expected salary range for this position is $80,000 – $100,000 USD per year, based on experience, skills, and qualifications.
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If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.
Proven sales development success, ideally in AI/ML/data labeling; strong GenAI knowledge including LLM, SFT, and Trust and Safety; excellent communication and time management; CRM proficiency.
Key Responsibilities
- generating leads
- qualifying prospects
- managing pipeline
Skills & Tools
Salesforce, CRM, LinkedIn
Job Details
- Category: Sales
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — United States
- Salary: USD 80,000 – 100,000 / year
- Languages: English
About Innodata Inc.
A global data engineering company enabling responsible AI advancement through data, evaluation frameworks, and human expertise. — Industry: Information Technology