Challenging Opportunities For You To Learn And Grow Professionally Jobs in Chicago, IL

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Looking for Challenging Opportunities For You To Learn And Grow Professionally jobs in Chicago, IL? Browse our curated listings with transparent salary information to find the perfect Challenging Opportunities For You To Learn And Grow Professionally position in the Chicago, IL area.

Product Manager (CX)

Company: Press Ganey

Location: Chicago, IL

Posted Feb 02, 2025

PG Forsta is a global healthcare and technology company seeking a Product Manager with 35 years of SaaS experience, preferably in healthcare. The role involves working with the Consumer Experience team to develop and grow product solutions for the healthcare consumer market. The successful candidate will facilitate product growth, understand market and client experiences, and drive product launches. They will work closely with various teams, including executives, clients, design, engineering, marketing, and sales. The company offers a competitive salary, flexible work environment, and various benefits. The expected base salary ranges from $101,000 to $120,000.

Vertical Market Manager

Company: Sika

Location: Chicago, IL

Posted Feb 02, 2025

Sika, a global leader in construction and manufacturing industries, is seeking a sales manager for their Below Grade Product line. The role involves achieving sales and profitability goals, developing a demand creation plan, and working with key stakeholders. The ideal candidate should have a Bachelor's degree or equivalent experience, strong computer skills, and functional knowledge of CRM systems. Sika offers competitive benefits, meaningful work, and a culture centered around entrepreneurship and sustainability.

ISV Partner Account Manager, MM

Company: Klaviyo

Location: Chicago, IL

Posted Feb 02, 2025

Klaviyo, a company that values diverse backgrounds and experiences, is seeking an ISV Partner Account Manager. This role involves driving revenue growth through strategic partnerships, executing high-impact go-to-market strategies, and collaborating with sales and marketing teams. The manager will also build and maintain strong relationships with partners, work on joint demand generation campaigns, and monitor sales performance. The ideal candidate should have a sales orientation, strong negotiation skills, deep market and product knowledge, and be data-driven. Klaviyo offers competitive benefits and a culture of learning.

Frequently Asked Questions

What are typical salary ranges by seniority in these challenging roles?
Junior AI/ML Engineers earn $90k–$110k, mid‑level $120k–$150k, senior $160k–$200k. Cloud Architects start at $110k–$140k, rise to $170k–$210k for senior architects, and can exceed $250k for principal roles. DevOps and Cybersecurity positions follow similar tiered ranges, with senior analysts earning $140k–$180k and experts over $200k.
Which skills and certifications are most demanded?
Core skills include Python, SQL, and version control. AI roles require TensorFlow, PyTorch, and Jupyter. Cloud positions demand AWS Certified Solutions Architect, GCP Professional Cloud Architect, or Azure Solutions Architect Expert, plus Terraform and Kubernetes. Cybersecurity roles favor CISSP, CISM, or CompTIA Security+ and hands‑on experience with SIEM tools like Splunk.
Is remote work available in these positions?
Approximately 70% of the listed roles support full‑remote or hybrid arrangements. Cloud and DevOps offers often allow work-from‑anywhere, while on‑site requirements are rare for AI/ML and data engineering, especially in companies emphasizing agility.
What career progression paths exist?
Typical ladders start at junior engineer → mid‑level → senior → tech lead → principal engineer → engineering manager or VP of Engineering. For cybersecurity, the path is analyst → senior analyst → lead analyst → security manager. Continuous learning and certifications accelerate movement up these tracks.
What industry trends shape these challenging opportunities?
Key trends include AI democratization through AutoML platforms, edge computing for low‑latency inference, cloud‑native security models, and data privacy regulations (GDPR, CCPA). Companies invest heavily in building resilient, scalable infrastructures that integrate AI, data, and security, driving demand for multi‑disciplinary talent.

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