Highly Motivated Jobs in New York City, NY

473,492 open positions · Updated daily

Looking for Highly Motivated jobs in New York City, NY? Browse our curated listings with transparent salary information to find the perfect Highly Motivated position in the New York City, NY area.

Wind Resource Analyst

Company: GE Vernova

Location: Schenectady, NY

Posted Jan 24, 2025

Housekeeping Associate, Armonk

Company: Equinox

Location: Westchester, NY

Posted Jan 24, 2025

Key Accounts Manager

Company: Nanit

Location: New York, NY

Posted Jan 24, 2025

Analyst, Legal Compliance

Company: Mastercard

Location: Mexico City, Mexico

Posted Jan 24, 2025

Part-Time District Sales Associate (NYC Metro)

Company: Oishii

Location: New York City, NY

Posted Jan 24, 2025

Oishii Berries, a vertically farmed pesticide-free strawberry company, is seeking a Part-Time District Sales Associate (DSA) for a job in the NYC Metro area. The DSA will spend 90% of their time in-store, maintaining merchandising standards, gathering consumer insights, and building relationships with key stakeholders. They will also coordinate with the Regional Sales Manager (RSM) on demo planning, preparation, and reporting. The role requires a reliable form of transportation, flexible scheduling, and the ability to work independently. Oishii offers competitive pay, paid training, and company holidays. The company is known for its innovative vertical farming technology and has been recognized by various media outlets.

Account Executive

Company: CVS Health

Location: Albany, NY

Posted Jan 24, 2025

Entry Level Solar Sales

Company: Sunrun

Location: Garden City, NY

Posted Jan 24, 2025

Research Analyst

Company: Thomson Reuters

Location: Mexico City, Mexico

Posted Jan 24, 2025

Infrastructure Architect

Company: Mizuho

Location: New York, NY

Posted Jan 24, 2025

Frequently Asked Questions

What are the typical salary ranges by seniority for Highly Motivated roles?
Entry‑level Product Owners and Growth Analysts earn between $80,000 and $110,000 annually. Mid‑level positions, such as Product Managers or Growth Managers, command $110,000 to $150,000. Senior roles—including Senior Product Managers, Head of Growth, and Lead Data Scientists—typically range from $150,000 to $200,000+, with top performers at scaleable tech firms exceeding $250,000 including equity.
What skills and certifications are required for Highly Motivated professionals?
Core product skills include Certified ScrumMaster or Pragmatic Marketing certification, proficiency in JIRA, Confluence, and road‑mapping tools like Productboard. Growth professionals should be certified in Google Analytics, Mixpanel, and have hands‑on experience with A/B testing platforms such as Optimizely. Data‑centric roles demand Python, SQL, Tableau, and ML framework knowledge (TensorFlow, PyTorch). Advanced certifications like PMP, Lean Six Sigma Green Belt, or AWS Certified Solutions Architect are highly valued.
Is remote work available for Highly Motivated positions?
About 70% of the 1,034 listings are remote‑first, with many offering flexible hybrid schedules. Remote roles are common for product road‑mapping, growth experimentation, and data science, while solutions architecture positions may require occasional on‑site collaboration for infrastructure deployment.
What career progression paths exist within Highly Motivated roles?
Typical trajectories start at Associate PM or Growth Analyst, advance to Product Manager or Growth Manager, then to Senior Product Manager or Head of Growth, and culminate in Director or VP positions. Data roles progress from Data Analyst to Data Scientist, Lead Data Scientist, and Director of Analytics, often moving into product or strategy leadership.
What industry trends are shaping Highly Motivated roles today?
The field is increasingly driven by AI‑augmented product decisions, real‑time analytics, and continuous experimentation. Remote product teams leverage tools like Asana, Airtable, and Slack for collaboration. Growth teams adopt Growth‑as‑a‑Service platforms and focus on OKR alignment. Data scientists are integrating automated feature engineering pipelines and deploying models via MLOps workflows on cloud platforms.

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