Talent Acquisition Partner at AKASA

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, Artificial Intelligence, Revenue Cycle ManagementIndustries

Requirements

3+ years of full-cycle recruiting experience, including at least 1 year in-house (technical role experience a plus)
Demonstrable success at an early-stage tech company competing for and winning top-tier talent
Proven track record of attracting passive candidates and building a diverse pipeline
Strong track record of influencing stakeholders and solving complex recruiting challenges with creativity and innovation
Data-driven approach with the ability to analyze metrics, surface insights, and inform strategy
Ultimate team player - we have a lean team, and we have each other’s backs, always raising a helping hand to drive great outcomes
Startup mentality, sense of agency and urgency, and openness to thinking outside of the box
Robust ATS experience
Nice to Haves: Ashby experience

Responsibilities

Manage the full lifecycle of searches, from kickoff and sourcing, through close, ensuring alignment with business goals and timelines
Partner with leaders to understand priorities, quickly ramp on new domains, and turn complexity into clear hiring strategies
Proactively source and engage top talent through multiple mediums including, but not limited to, LinkedIn Recruiter and JuiceboxAI
Champion a world class candidate experience that reflects our values and culture at every stage of the process
Ensure operational excellence with clean pipelines, accurate data, strong ATS hygiene, and strong execution of all SLAs
Employ a data-driven approach to debug processes, diagnose bottlenecks, measure impact, and drive improvements
Strategically partner with hiring managers, bringing recruiting analytics and competitive intelligence to drive exceptional hiring outcomes
Proactively engage candidates from diverse backgrounds, building inclusive and representative teams

Skills

Talent Acquisition

Recruiting

Candidate Sourcing

Candidate Experience

Hiring Manager Partnership

Process Improvement

Stakeholder Management

AKASA

Automates revenue cycle management processes

About AKASA

AKASA offers technology solutions that enhance efficiency and revenue outcomes for healthcare organizations by using a mix of computer vision-based Robotic Process Automation (RPA), machine learning, and human-in-the-loop automation. Their services streamline complex Revenue Cycle Management (RCM) workflows, allowing healthcare staff to focus on more meaningful tasks. Unlike competitors, AKASA specifically targets operational inefficiencies in revenue cycle departments, helping clients like Methodist Health System achieve significant gross yield increases. The company's goal is to empower healthcare organizations to improve their operational efficiency and patient experience.

San Francisco, CaliforniaHeadquarters

2018Year Founded

$199.4MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Flexible vacation policy.

Generous coverage for health, dental, and vision insurance.

Free membership to One Medical for you and your family.

Health FSA account.

Full employee coverage for life insurance.

401K plan.

Risks

Generative AI adoption may increase competition, eroding AKASA's market share.

Healthcare's cautious approach may slow adoption of AKASA's new technologies.

Integration with existing EHR systems may pose implementation challenges for AKASA.

Differentiation

AKASA uses AI to automate complex revenue cycle tasks in healthcare.

Their solutions decrease A/R days by 13% and increase efficiency by 86%.

AKASA's tailored AI models outperform generic models like GPT-4 by up to 40%.

Upsides

AKASA's GenAI solutions reduce prior authorization time by up to 50%.

Over 70% of healthcare organizations are exploring generative AI for revenue cycle management.

AKASA's Medical Coding enhances efficiency and accuracy in the $23B medical coding field.

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